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  • richardmitnick 8:41 am on July 12, 2017 Permalink | Reply
    Tags: , , Customized antibiotics treatments now possible, , , Technion-Israel Institute of Technology   

    From ISRAEL21c: “Customized antibiotics treatments now possible” 

    Israel21c

    July 6, 2017
    No writer credit found

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    Antibiotics image by The26January/Shutterstock.com

    A diagnostic system developed at the Technion-Israel Institute of Technology enables rapid and accurate customization of an antibiotic to a patient.


    If the system is commercialized, patients with life-threatening infections or in need of urgent treatment will enjoy faster diagnostics, earlier and more effective treatment of infectious bacteria and improved recovery times.

    The findings related to the new Technion diagnostic system were published recently in the Proceedings of the National Academy of Sciences (PNAS).

    Antibiotics are one of the most effective ways to treat bacterial infections. But widespread use of antibiotics accelerates the development of resistant bacterial strains.

    In fact, in June, the World Health Organization updated its Essential Medicines List with new advice on use of antibiotics.

    “The rise in antibiotic resistance stems from how we are using – and misusing – these medicines,” said Dr Suzanne Hill, director of Essential Medicines and Health Products. “The new WHO list should help health system planners and prescribers ensure people who need antibiotics have access to them, and ensure they get the right one, so that the problem of resistance doesn’t get worse.”

    In 2014, infections with antimicrobial resistance (AMR) claimed the lives of more than 700,000 people worldwide, in addition to a cumulative expenditure of $35 billion a year in the US alone, reports the Technion.

    According to established estimates, for every hour that effective antibiotic treatment is delayed, survival rates drop by about 7.6% for patients with septic shock. Therefore, in order not to leave the patient without adequate protection while awaiting the results, many doctors will prescribe an antibiotic with a broad spectrum of activity in large doses. This phenomenon facilitates the emergence of AMR and also affects the microbiota – the population of “good bacteria” found in the human body that protects it.

    “Every day, tens to hundreds of tests are carried out at every hospital in Israel to map the resistance levels of infectious bacteria from samples taken from patients. The problem is that this is a very long test, since it is based on sending the sample to the lab, growing a bacterial culture in a petri dish and analyzing the culture. This process requires relatively large sampling and usually takes a few days, in part because the workday at labs is limited to around eight hours,” said Technion doctoral student Jonathan Avesar, one of the researchers on the new system.

    “Our method, on the other hand, provides accurate results in a short time based on a much smaller sample. It is obvious that a faster response allows us to start treatment earlier and improve the speed of recovery.”

    Fast results

    The innovative system developed at the Technion, called the SNDA-AST, quickly analyzes bacteria isolated from patients with infections and assesses their level of resistance to specific antibiotics. This enables the healthcare team to choose the most effective antibiotic a day earlier than when using traditional methods.

    Technion researchers demonstrated the ability to test bacteria directly from patient urine samples, thus skipping the isolation step and potentially saving two days for patients with urinary-tract infections.

    They developed a chip with hundreds of nanoliter (1,000 times smaller than a milliliter) wells inside it, each containing a few bacteria and a specific antibiotic. Detection of the bacterial response is done using a fluorescent marker, image-processing tools and statistical analysis of the colors obtained from the bacteria in all the nanoliter wells.

    The study tested 12 bacteria-antibiotic combinations.

    “The use of the technology that we developed reduces the size of the required sample by several orders of magnitude, reduces the scanning time by around 50%, significantly reduces the lab space required for testing and reduces the cost per test,” said Avesar.

    The study was led by Prof. Shulamit Levenberg, dean of the Technion Faculty of Biomedical Engineering, and was carried out in her lab by Avesar, postdoctoral student Dekel Rosenfeld and doctoral student Tom Ben-Arye.

    Also contributing were Assistant Prof. Moran Bercovici of the Technion Faculty of Mechanical Engineering, doctoral student Marianna Truman-Rosentsvit and Dr. Yuval Geffen, head of the Microbiology Laboratory at Rambam Health Care Campus in Haifa. The study was funded by a KAMIN grant from the Israel Innovation Authority and the Israeli Centers of Research Excellence (I-CORE).

    See the full article here.

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  • richardmitnick 10:17 am on June 12, 2017 Permalink | Reply
    Tags: , Arab students, , Guangdong Technion Israel Institute of Technology, , Technion-Israel Institute of Technology, Ultra-Orthodox students in academia   

    From Technion: “Technion Board of Governors” 

    Technion bloc

    Israel Institute of Technology

    1
    From left to right: Chairman of the Board of Governors Lawrence (Larry) Jackier, Technion President Prof. Peretz Lavie, and Chairman of the Technion Council Gideon Frank. No image credit.

    Technion President at the opening plenary of the 2017 Board of Governors events:

    “Technion is becoming increasingly global and intensifying its presence around the world; the task that we now face is to increase the number of ultra-Orthodox students at Technion”

    “Technion is becoming increasingly global,” said Technion President Prof. Peretz Lavie at the opening session of the 2017 Technion Board of Governors meeting. “Today, the world of research requires cooperation between fields and universities. In order to maintain Technion’s position at the forefront of scientific research, we must be a part of the globalization of higher education. This has been one of my main tasks since I became President of Technion eight years ago.”

    In recent years, Technion has indeed been working on many fronts towards this purpose, and the two flagships are its extensions in New York and China, which will be inaugurated this year: the permanent campus of the Jacobs Technion-Cornell Institute (JTCI) for applied engineering-scientific research will be inaugurated in the heart of Manhattan in September 2017, and Guangdong Technion Israel Institute of Technology (GTIIT), near the city of Shantou in China, will be inaugurated in December 2017. Technion is also strengthening its international reputation through strategic cooperation with leading universities around the world. The International School at Technion, which welcomes students from a variety of countries, has significantly expanded its activities and grown from 39 students in 2009 to 700 in 2016.

    Prof. Lavie said that these international projects place Technion at the forefront of global research and constitute an important milestone in its progress towards achieving the Technion vision: “Becoming one of the world’s ten leading scientific-technological research universities in the development of human capital, leadership, and knowledge, which works to advance the State of Israel and humanity.” He also noted the success of the MOOC (Massive Open Online Course) masterminded by Prof. Hossam Haick of the Wolfson Faculty of Chemical Engineering at the Technion: an online course in Arabic and English, which has already brought Technion to around 118,000 men and women from 87 countries, 23 of them in the Middle East.

    Prof. Lavie emphasized another important challenge pertaining to the demographic changes in the State of Israel. “Israeli society is changing before our eyes. According to projections, by 2059 the ultra-Orthodox will make up 27% of Israel’s population, and this requires us to increase the number of ultra-Orthodox students in academia in order to help them integrate into the work force. In recent years, Technion has been working to increase the number of Arab students, whose percentage in the student body is now similar to the percentage of Arabs in Israel’s population, and we are now working to increase the number of ultra-Orthodox students at Technion. This is being done through special pre-academic programs and close support during their years of study.”

    Technion representatives and friends from around the world arrived for this morning’s meeting of the Board of Governors and will participate in events until Wednesday. Lawrence (Larry) Jackier, Chairman of the Board of Governors, said, “Technion is at the forefront of the globalization of higher education, enabling the dissemination of its successes in science, technology, and medicine. We must continue this effort to expand Technion’s global exposure and positive impact. This is also the bridge that will enable the younger generation of diaspora Jews to reestablish contact with the State of Israel.”

    See the full article here .

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    Technion Campus

    A science and technology research university, among the world’s top ten,
    dedicated to the creation of knowledge and the development of human capital and leadership,
    for the advancement of the State of Israel and all humanity.

     
  • richardmitnick 12:16 pm on June 8, 2017 Permalink | Reply
    Tags: , AugmentedWorld, BLOSSOMS, Miri Barak, Mobile learning, MOOC, Technion-Israel Institute of Technology,   

    From The Technion: Women in STEM “Learning in the Cloud” Miri Barak 

    Technion bloc

    Technion

    1
    Assistant Prof. Miri Barak

    Assistant Professor Miri Barak of the Technion presents AugmentedWorld: an innovative location-based platform based on the wisdom of the crowd

    Assistant Professor Barak, head of the Learning Technologies group at the Technion, is a leading expert in the fields of mobile learning, massive open online courses (MOOC) and cloud applications. In her research studies, she examines the cognitive and socio-cultural aspects of collaborative distance learning, motivation for learning, innovative thinking, and cognitive flexibility.

    According to Assistant Professor Barak, the process of globalization and the accelerated technological development require a rethinking of teaching and learning processes in the 21st century. “In the past, only the lecturers had access to new information, but today it’s at the students’ fingertips – on their smartphones, tablets and laptops. Web and cloud technologies connect the students to a pipeline of infinite information and they can share knowledge with people from all over the world. Classroom lectures are perceived as anachronistic by the students, therefore, we must find new ways to promote meaningful learning.”

    In light of the new reality, Assistant Professor Barak is leading the development of AugmentedWorld – an open web platform based on geographic information system technology (GIS) and the wisdom of the crowd. The platform implements innovative design principles for online learning with an open and adaptive system that enables users to create contents and add layers of information through the use of text, images and videos. One important feature of the system is that it is the learners who formulate questions and answer research and multimedia questions in the various fields of science and engineering. Since the system was launched, more than 850 users from Israel, China, and the United States have registered, posting scientific questions, geographic information points and data that contributes to solving scientific questions.

    In collaboration with Prof. Richard Larson of MIT, Assistant Professor Barak is promoting the development of a methodology for project-based learning using two complementary technologies: AugmentedWorld and BLOSSOMS. This joint project examines an integrative approach that combines technology-based learning and assessment, inside and outside the classroom. The project, which is funded by the MISTI program, is designed to promote scientific thinking and 21st century skills among learners of all ages from different parts of the world.

    “The ramifications of accelerated technological development are widespread and deep,” says Assistant Professor Barak, “and one of them is the ‘generation gap’ between lecturers and college students.” Advanced technologies, which are now a vital resource for students, are very rarely used in the teaching process. Web technologies, satellite-based systems, mobile devices, social media, collaborative writing documents, computer simulations, and more – all of these have yet to fully realize their potential in academic instruction.”

    See the full article here .

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    Technion Campus

    A science and technology research university, among the world’s top ten,
    dedicated to the creation of knowledge and the development of human capital and leadership,
    for the advancement of the State of Israel and all humanity.

     
  • richardmitnick 11:17 am on April 26, 2017 Permalink | Reply
    Tags: , In-Flight, on-Demand Hydrogen Production Could Mean “Greener” Aircraft, Technion-Israel Institute of Technology   

    From Technion: “In-Flight, on-Demand Hydrogen Production Could Mean “Greener” Aircraft” 

    Technion bloc

    Israel Institute of Technology

    04/25/2017
    American Technion Society

    1

    Aerospace engineers at the Technion-Israel Institute of Technology have developed and patented a process that can be used onboard aircraft while in flight to produce hydrogen from water and aluminum particles safely and cheaply. The hydrogen can then be converted into electrical energy for inflight use. The breakthrough could pave the way for non-polluting, more-electric aircraft that replace current hydraulic and pneumatic systems typically powered by the main engine.

    The groundbreaking work was reported in a recent paper published in the International Journal of Hydrogen Energy.

    “Hydrogen produced onboard the aircraft during flight can be channeled to a fuel cell for electrical energy generation,” said lead researcher Dr. Shani Elitzur of the Technion Faculty of Aerospace Engineering. “This technology offers a good solution to several challenges, such as hydrogen storage, without the problems associated with storing hydrogen in a liquid or gas state.”

    While the use of hydrogen fuels has been a potential greener energy solution for some time, storing hydrogen has always been a problem. The engineers were able to work around the hydrogen storage problem by using non-polluting Proton Exchange Membrane (PEM) fuel cells and a process of aluminum activation patented by the paper’s co-authors, Prof. Alon Gany and Dr. Valery Rosenband.

    Dr. Elitzur’s research was focused on the reaction between the activated aluminum powder and water (from different types) to produce hydrogen. The foundation for the technology is in the chemical reaction between aluminum powder and water to produce hydrogen. Either fresh water or waste water, already onboard the aircraft, can be used for activation, which means the aircraft does not need to carry any additional water.

    The spontaneous and sustained reaction between powdered aluminum and water is enabled by a special thermo-chemical process of aluminum activation the researchers developed. The protective properties of the oxide or hydroxide film covering the aluminum particle surface are modified by a small fraction of lithium-based activator diffused into aluminum bulk, allowing water at room temperature to react spontaneously with the aluminum.

    The process does generate heat, which the researchers say can be used for a number of tasks, including heating water and food in the galley, de-icing operations, or heating aircraft fuel prior to starting the engines.

    According to the researchers, their technology would provide:

    Quieter operations on board an aircraft
    Drastic reductions in CO2 emissions
    Compact storage; no need for hydrogen storage tanks onboard aircraft
    More efficient electric power generation
    A reduction in wiring (multiple fuel cells can be located near their point of use)
    Thermal efficiency (fuel cell generated heat can be used for de-icing, heating jet fuel)
    Reduced flammable vapors in fuel tanks (Inert gas generation)

    “The possibility of using available, onboard wastewater boosts both the efficiency and safety of the system,” explained Dr. Rosenband. “Also, the PEM fuel cells exhibit high efficiency in electric energy generation.”

    Aircraft manufacturers, including Boeing and Airbus, have already investigated using onboard fuel cells. Boeing has experimented with them in smaller aircraft, in anticipation of using them on its 787-8, the current state-of-the-art electric airplane. According to the Technion researchers, fuel cells can even play an energy saving role in airline and airport ground support operations when they are on used for systems such as de-icing and runway light towers.

    “Efficient hydrogen production and storage represents the future for efficient and safe aircraft inflight energy needs.” summarized Prof. Gany.

    The Technion-Israel Institute of Technology is a major source of the innovation and brainpower that drives the Israeli economy, and a key to Israel’s renown as the world’s “Start-Up Nation.” Its three Nobel Prize winners exemplify academic excellence. Technion people, ideas and inventions make immeasurable contributions to the world including life-saving medicine, sustainable energy, computer science, water conservation and nanotechnology. The Joan and Irwin Jacobs Technion-Cornell Institute is a vital component of Cornell Tech, and a model for graduate applied science education that is expected to transform New York City’s economy.

    American Technion Society (ATS) donors provide critical support for the Technion—more than $2 billion since its inception in 1940. Based in New York City, the ATS and its network of supporters across the U.S. provide funds for scholarships, fellowships, faculty recruitment and chairs, research, buildings, laboratories, classrooms and dormitories, and more.

    See the full article here .

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    Technion Campus

    A science and technology research university, among the world’s top ten,
    dedicated to the creation of knowledge and the development of human capital and leadership,
    for the advancement of the State of Israel and all humanity.

     
  • richardmitnick 11:47 am on April 6, 2017 Permalink | Reply
    Tags: , , Technion-Israel Institute of Technology   

    From Technion: “Deep Learning” 

    Technion bloc

    Israel Institute of Technology

    06/04/2017

    Researchers from the Technion Computer Science Department introduce unprecedented theoretical foundation to one of the hottest scientific fields today – deep learning.

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    No image caption. No image credit.

    In a recent article, Prof. Elad and his PhD students, Vardan Papyan and Yaniv Romano introduce a broad theory explaining many of the important aspects of multi-layered neural networks, which are the essence of deep learning.

    Initial seed ideas in the 1940s and 1950s, elementary applications in the 1960s, promising signs in the 1980s, a massive decline and stagnation in the 1990s, followed by dramatic awakening development in the past decade. This, in a nutshell, is the story of one of the hottest scientific fields in data sciences – neural networks, and more specifically, deep learning.

    Deep learning fascinates major companies including Google, Facebook, Microsoft, LinkedIn, IBM and Mobileye. According to Technion Professor Michael Elad, this area came to life in the past decade following a series of impressive breakthroughs. However, “while empirical research charged full speed ahead and made surprising achievements, the required theoretical analysis trailed behind and has not, until now, managed to catch up with the rapid development in the field. Now I am happy to announce that we have highly significant results in this area that close this gap.”

    “One could say that up to now, we have been working with a black box called a neural network,” Elad explains. “This box has been serving us very well , but no one was able to identify the reasons and conditions for its success. In our study, we managed to open it up, analyze it and provide a theoretical explanation for the origins of its success. Now, armed with this new perspective, we can answer fundamental questions such as failure modes in this system and ways to overcome them. We believe that the proposed analysis will lead to major breakthroughs in the coming few years.”

    But first a brief background explanation.

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    No image caption. No image credit.

    Convolutional neural networks, and more broadly, multi-layered neural networks, pose an engineering approach that provides the computer with a potential for learning that brings it close to human reasoning. Ray Kurzweil, Google’s chief futurist in this field, believes that by 2029 computerized systems will be able to demonstrate not only impressive cognitive abilities, but even genuine emotional intelligence, such as understanding a sense of humor and human emotions. Deloitte has reported that the field of deep learning is growing at a dizzying rate of 25% per year, and is expected to become a 43 billion USD industry per year by 2020.

    Neural networks, mainly those with a feed-forward structure that are currently at the forefront of research in the fields of machine learning and artificial intelligence, are systems that perform rapid, efficient and accurate cataloging of data. To some extent, these artificial systems are reminiscent of the human brain and, like the brain, they are made up of layers of neurons interconnected by synapses. The first layer of the network receives the input and “filters” it for the second, deeper layer, which performs additional filtering, and so on and so forth. Thus the information is diffused through a deep and intricate artificial network, at the end of which the desired output is obtained.

    If, for example, the task is to identify faces, the first layers will take the initial information and extract basic features such as the boundaries between the different areas in the face image; the next layers will identify more specific elements such as eyebrows, pupils and eyelids; while the deeper layers of the network will identify more complex parts of the face, such as the eyes; the end result will be the identification of a particular face, i.e., of a specific person. “Obviously the process is far more complex, but this is the principle: each layer is a sort of filter that transmits processed information to the next layer at an increasing level of abstraction. In this context, the term ‘deep learning’ refers to the multiple layers in the neural network, a structure that has been empirically found to be especially effective for identification tasks.

    The hierarchical structure of these networks enables them to analyze complex information, identify patterns in this information, categorize it, and more. Their greatness lies in the fact that they can learn from examples, i.e. if we feed them millions of tagged images of people, cats, dogs and trees, the network can learn to identify the various categories in new images, and do so at unprecedented levels of accuracy, in comparison with previous approaches in machine learning.”

    The first artificial neural network was presented by McCulloch and Pitts in 1943. In the 1960s, Frank Rosenblatt from Cornell University introduced the first learning algorithm for which convergence could be proven. In the 1980s, important empirical achievements were added to this development.

    It was clear to all the scientists engaged in this field in those years that there is a great potential here, but they were utterly discouraged by the many failures and the field went into a long period of hibernation. Then, less than a decade ago, there was a great revival. Why? “Because of the dramatic surge in computing capabilities, making it possible to run more daring algorithms on far more data. Suddenly, these networks succeeded in highly complex tasks: identifying handwritten digits (with accuracy of 99% and above), identifying emotions such as sadness, humor and anger in a given text and more.” One of the key figures in this revival was Yann LeCun, a professor from NYU who insisted on studying these networks, even at times when the task seemed hopeless. Prof. LeCun, together with Prof. Geoffrey Hinton and Prof. Yoshua Bengio from Canada, are the founding fathers of this revolutionary technology.

    Real Time Translation

    In November 2012, Rick Rashid, director of research at Microsoft, introduced the simultaneous translation system developed by the company on the basis of deep learning. At a lecture in China, Rashid spoke in English and his words underwent a computerized process of translation, so that the Chinese audience would hear the lecture in their own language in real time. The mistakes in the process were few – one mistake per 14 words on average. This is in comparison with a rate of 1:4, which was considered acceptable and even successful several years earlier. This translation process is used today by Skype, among others, and in Microsoft’s various products.

    Beating the World Champion

    Google did not sit idly by. It recruited the best minds in the field, including the aforementioned Geoffrey Hinton, and has actually become one of the leading research centers in this regard. The Google Brain project was established on a system of unprecedented size and power, based on 16,000 computer cores producing around 100 trillion inter-neuronal interactions. This project, which was established for the purpose of image content analysis, quickly spread to the rest of the technologies used by Google. Google’s AlphaGo system, which is based on a convolutional neural network, managed to beat the world champion at the game of Go. The young Facebook, with the help of the aforementioned Yann LeCun, has already made significant inroads into the field of deep learning, with extremely impressive achievements such as identifying people in photos. The objective, according to Facebook CEO Mark Zuckerberg, is to create computerized systems that will be superior to human beings in terms of vision, hearing, language and thinking.

    Today, no one doubts that deep learning is a dramatic revolution when it comes to speed of calculation and processing huge amounts of data with a high level of accuracy. Moreover, the applications of this revolution are already being used in a huge variety of areas: encryption, intelligence, autonomous vehicles (Mobileye’s solution is based on this technology), object recognition in stills and video, speech recognition and more.

    Back to the Foundations

    Surprisingly enough, however, the great progress described above has not included a basic theoretical understanding that explains the source of these networks’ effectiveness. Theory, as in many other cases in the history of technology, has lagged behind practice.

    This is where Prof. Elad’s group enters the picture, with a new article that presents a basic and in-depth theoretical explanation for deep learning. The people responsible for the discovery are Prof. Elad and his three doctoral students: Vardan Papyan, Jeremias Sulam and Yaniv Romano. Surprisingly, this team came to this field almost by accident, from research in a different arena: sparse representations. Sparse representations are a universal information model that describes data as molecules formed from the combination of a small number of atoms (hence the term ‘sparse’). This model has been tremendously successful over the past two decades and has led to significant breakthroughs in signal and image processing, machine learning, and other fields.

    So, how does this model relates to deep neural networks? It turns out that the principle of sparseness continues to play a major role, and even more so in this case. “Simply put, in our study we propose a hierarchical mathematical model for the representation of the treated information, whereby atoms are connected to each other and form molecules, just as before, except that now the assembly process continues: molecules form cells, cells form tissues, which in turn form organs and, in the end, the complete body – a body of information – is formed. The neural network’s job is to break up the complete information into its components in order to understand the data and its origin.

    Papyan and Sulam created the initial infrastructure in two articles completed in June 2016, while in the follow-up work Papyan and Romano diverted the discussion to deep learning and neural networks. The final article, as noted, puts forward the theoretical infrastructure that explains the operating principles of deep neural networks and their success in learning tasks.

    “We can illustrate the significance of our discovery using an analogy to the world of physics,” says Prof. Elad. “Imagine an astrophysicist who monitors the movement of celestial objects in search of the trajectories of stars. To explain these trajectories, and even predict them, he will define a specific mathematical model. In order for the model to be in line with reality, he will find that it is necessary to add complementary elements to it – black holes and antimatter, which will be investigated later using experimental tools.

    “We took the same path: We started from the real scenario of data being processed by a multi-layered neural network, and formulated a mathematical model for the data to be processed. This model enabled us to show that one possible way to decompose the data into its building blocks is the feed-forward neural network, but this could now be accompanied by an accurate prediction of its performance. Here, however, and unlike the astrophysical analogy, we can not only analyze and predict reality but also improve the studied systems, since they are under our control.”

    Prof. Elad’s emphasizes that “our expertise in this context is related to handling signals and images, but the theoretical paradigm that we present in the article could be relevant to any field, from cyberspace to autonomous navigation, from deciphering emotion in a text to speech recognition. The field of deep learning has made huge advances even without us, but the theoretical infrastructure that we are providing here closes much of the enormous gap between theory and practice that existed in this field, and I have no doubt that our work will provide a huge boost to the practical aspects of deep learning.”

    About the Doctoral Students

    When Vardan Papyan completed his master’s degree, supervised by Prof. Elad, he didn’t intend to continue studying towards a PhD. However, during the final MSc exam, the examiners determined that his work was almost a complete doctoral thesis. After consulting with the Dean of the Computer Science Faculty and the Dean of the Technion’s Graduate School, it was decided to admit him to the direct Ph.D. track with the understanding that he would complete his doctorate within less than a year.

    Yaniv Romano, a student in the direct Ph.D. track, has already won several prestigious awards. In the summer of 2015, he spent several months as an intern at Google Mountain View, USA, and left an unforgettable impression with his original solution to the single-image super-resolution problem, which is being considered for several of Google’s products.

    See the full article here .

    Please help promote STEM in your local schools.

    STEM Icon

    Stem Education Coalition

    Technion Campus

    A science and technology research university, among the world’s top ten,
    dedicated to the creation of knowledge and the development of human capital and leadership,
    for the advancement of the State of Israel and all humanity.

     
  • richardmitnick 8:12 pm on March 19, 2017 Permalink | Reply
    Tags: , Hydrogen On Demand, Technion-Israel Institute of Technology   

    From Technion: “Hydrogen On Demand” 

    Technion bloc

    Technion

    March 19, 2017
    T3

    1
    T³Dr. Amir Bahar, Co-founder & CEO Nurami Medical Nanofiber Technology

    Technion researchers have developed a new method for the production of hydrogen from water using solar energy. The new method will make it possible to produce the hydrogen in a centralized manner far from the solar farm, cost-effectively, safely and efficiently.
    Technion-Israel Institute of Technology researchers have developed a new approach to the production of hydrogen from water using solar energy. In findings published yesterday in Nature Materials, the researchers explain that this approach will make it possible to produce hydrogen in a centralized manner at the point of sale (for example, at a gas station for electric cars fueled by hydrogen) located far from the solar farm. The new technology is expected to significantly reduce the cost of producing the hydrogen and shipping it to the customer.

    The study was led by Avigail Landman, a doctoral student in the Nancy & Stephen Grand Technion Energy Program (GTEP), and Dr. Hen Dotan from the Electrochemical Materials & Devices Lab. Ms. Landman is working on her doctorate under the guidance of Prof. Avner Rothschild from the Faculty of Materials Science and Engineering, and Prof. Gideon Grader, Dean of the Faculty of Chemical Engineering.

    The study published in Nature Materials was supported by the Israeli Centers of Research Excellence (I-CORE) for Solar Fuel Research (funded by the Planning and Budgeting Committee of the Council for Higher Education of Israel), the Ministry of National Infrastructures, Energy and Water, the European Fuel Cells and Hydrogen Joint Undertaking (FCH JU), the Grand Technion Energy Program (GTEP), donor Ed Satell and the Adelis Foundation.

    Hydrogen can be produced from water, and therefore production does not depend on access to non-renewable natural resources.
    Using hydrogen fuel would reduce the dependence on fossil fuels such as oil and natural gas, whose availability depends on geographical, political and other factors, and would increase the energy available to the earth’s population. Unlike diesel and gasoline engines that emit considerable pollution into the air, the only byproduct of hydrogen fuel utilization is water.

    Because of the advantages of hydrogen fuel, many countries – led by Japan, Germany and the United States – are investing vast sums of money in programs for the development of environmentally friendly (“green”) technologies for the production of hydrogen. Most hydrogen is currently produced from natural gas in a process that emits carbon dioxide into the air, but it is also possible to produce hydrogen from water by splitting the water molecules into hydrogen and oxygen in a process called electrolysis. However, since electricity production itself is an expensive and polluting process, researchers at the Technion and around the world are developing a photoelectrochemical (PEC) cell that utilizes solar energy to split water into hydrogen and oxygen directly, without the need for external power source.

    The main challenges in the development of PEC solar farms for the production of hydrogen are 1.) keeping the hydrogen and the oxygen separate from each other, 2.) collecting the hydrogen from millions of PEC cells, and 3.) transporting the hydrogen to the point of sale. The Technion team solved these challenges by developing a new method for PEC water splitting. With this method, the hydrogen and oxygen are formed in two separate cells – one that produces hydrogen, and another that produces oxygen. This is in contrast to the conventional method, in which the hydrogen and oxygen are produced within the same cell, and separated by a thin membrane that prevents them from intermixing and forming a flammable and explosive mixture.

    The process allows geographic separation between the solar farm consisting of millions of PEC cells that produce oxygen exclusively, and the site where the hydrogen is produced in a centralized, cost-effective and efficient manner. They accomplished this with a pair of auxiliary electrodes made of nickel hydroxide, an inexpensive material used in rechargeable batteries, and a metal wire connecting them.
    “In the present article, we describe a new method for producing hydrogen through the physical separation of hydrogen production and oxygen production,” says Ms. Landman. “According to our cost estimate, our method could successfully compete with existing water splitting methods and serve as a cheap and safe platform for the production of hydrogen.”

    The vision of the Technion researchers is geographic separation between the sites where the oxygen and hydrogen are produced: at one site, there will be a solar farm that will collect the sun’s energy and produce oxygen, while hydrogen is produced in a centralized manner at another site, miles away. Thus, instead of transporting compressed hydrogen from the production site to the sales point, it will only be necessary to swap the auxiliary electrodes between the two sites. Economic calculations performed in collaboration with research fellows from Evonik Creavis GmbH and the Institute of Solar Research at the German Aerospace Center (DLR), indicate the potential for significant savings in the setup and operating costs of hydrogen production.

    The method developed at the Technion for separating hydrogen production and oxygen production was the basis for the development of new two-stage electrolysis technology. This technology, which was developed by Dr. Hen Dotan, enables hydrogen production at high pressure and with unprecedented efficiency, thus significantly reducing hydrogen production costs. The new technology is now in its pre-industrial development stage.
    Source

    See the full article here .

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    Technion Campus

    A science and technology research university, among the world’s top ten,
    dedicated to the creation of knowledge and the development of human capital and leadership,
    for the advancement of the State of Israel and all humanity.

     
  • richardmitnick 11:51 am on March 9, 2017 Permalink | Reply
    Tags: Tech Women 2017, Technion-Israel Institute of Technology, The Rosalyn August Foundation for the Empowerment of Young Women,   

    From Technion: “A Better World – through Science and Engineering” 

    Technion bloc

    Technion

    09/03/2017

    1
    Tech Women 2017

    Around 700 excelling female high-school students from all over the country visited Technion as part of the Tech Women 2017 conference, organized to encourage young women to opt for academic studies in science and engineering.

    From Kiryat Shmona all the way to Ma’ale Edomim; from Kibbutz Sasa to Ashdod: around 700 excelling female high-school students visited the Technion last Thursday, in honor of the annual Tech Women 2017 conference held by the Technion on International Women’s Day on March 8th. “Studying at the Technion means making the world a better place through science and engineering,” said Prof. Orit Hazan, Dean of Undergraduate Studies, in her opening remarks.

    The conference, which took place courtesy of The Rosalyn August Foundation for the Empowerment of Young Women, was designed to encourage excelling female high-school students to choose science and engineering for their academic studies.

    The participants were students majoring in 5-pt. mathematics and the fields of science and technology. They met with female researchers and staff members, Technion graduates and current graduate students. They toured labs and were exposed to the various research and study subjects in the different faculties.

    “You are here because you were chosen, because we are positive that your future lies here, at the Technion,” said Orly Reiss, an alumnus of the Technion’s Faculty of Aerospace Engineering, who moderated the opening ceremony. After the opening event, each student visited two of the nine hosting faculties: Electrical Engineering; Computer Science; Mechanical Engineering; Aerospace Engineering; Civil & Environmental Engineering; Chemical Engineering; Materials Science & Engineering; Chemistry; and Physics.

    “In the very first graduating class of the Technion, which opened in 1924, there were 16 men and one woman,” said Prof. Peretz Lavie, President of the Technion. “Today about 37% of our undergraduates are women, and our goal is to reach 50% in all the departments. This special day is dedicated to persuading female high-school students that they belong here at the Technion and that they are able to do so. The future of the State of Israel depends on scientific and engineering knowledge, and we look forward to seeing these students here in a few years attending the Technion’s opening ceremony at the beginning of the academic year.”

    Dr. Tzipi Horowitz-Kraus of the Faculty of Education in Science and Technology, said: “It is very exciting to see the future generation of female scientists of Israel.” She urged the students to approach their studies passionately and consciously. She spoke of her own brother, who was extremely intelligent but had difficulties reading, and of her decision to specialize in the field of language acquisition. Dr. Horowitz-Kraus, who is the founder of the Technion’s Educational Neuroimaging Center, shared her discoveries regarding the connection between brain development and the development of language and reading skills in infants and children. “I examine the child’s brain as he or she listens to a story, and try to understand the processes taking place and the way listening improves future reading skills.”

    Sarah Nagosa, a PhD student at the Ruth & Bruce Rappaport Faculty of Medicine, discussed the topic of her dissertation: eye diseases and their treatment. Nagosa immigrated to Israel from Ethiopia at the age of three, and grew up in Kiryat Malachi. “I only first heard of the Technion when I was 17 years old, when several American donors came to visit my high school. I decided that day that this is what I want to do – to attend the Technion. Of course, I had apprehensions – what if I’m not accepted? What if I’m not smart enough? But I applied for admission and was accepted to the Faculty of Biology. The beginning wasn’t easy – I felt so small and the campus was so huge. It was hard for me to find common ground with the rest of the students. But I slowly realized that we all had the same apprehensions, and I suddenly found the courage to ask questions. Today, working on my research and serving as a teaching assistant at the same time, I can tell you that while the Technion might be tough academically, it is “soft” and simple in every other way: the dorms, tutoring and any other form of assistance. The difficulties have not disappeared, but I’ve learned to overcome them, knowing that my ultimate goal is worth it.”

    See the full article here .

    Please help promote STEM in your local schools.

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    Technion Campus

    A science and technology research university, among the world’s top ten,
    dedicated to the creation of knowledge and the development of human capital and leadership,
    for the advancement of the State of Israel and all humanity.

     
  • richardmitnick 1:48 pm on March 3, 2017 Permalink | Reply
    Tags: , , , , , , Technion-Israel Institute of Technology, Where Do Messy Planetary Nebulae Come From?   

    From AAS NOVA: ” Where Do Messy Planetary Nebulae Come From?” 

    AASNOVA

    American Astronomical Society

    3 March 2017
    Susanna Kohler

    1
    This Hubble image shows the planetary nebula NGC 5189. This nebula’s strong asymmetry suggests it was very likely formed by a triple stellar system. [NASA/ESA/Hubble Heritage Team (STScI/AURA)]

    If you examined images of planetary nebulae, you would find that many of them have an appearance that is too “messy” to be accounted for in the standard model of how planetary nebulae form. So what causes these structures?

    2
    Examples of planetary nebulae that have a low probability of having been shaped by a triple stellar system. They are mostly symmetric, with only slight departures (labeled) that can be explained by instabilities, interactions with the interstellar medium, etc. [Bear and Soker 2017]

    A Range of Looks

    At the end of a star’s lifetime, in the red-giant phase, strong stellar winds can expel the outer layers of the star. The hot, luminous core then radiates in ultraviolet, ionizing the gas of the ejected stellar layers and causing them to shine as a brightly colored “planetary nebula” for a few tens of thousands of years.

    Planetary nebulae come in a wide variety of morphologies. Some are approximately spherical, but others can be elliptical, bipolar, quadrupolar, or even more complex.

    It’s been suggested that non-spherical planetary nebulae might be shaped by the presence of a second star in a binary system with the source of the nebula — but even this scenario should still produce a structure with axial or mirror symmetry.

    A pair of scientists from Technion — Israel Institute of Technology, Ealeal Bear and Noam Soker, argue that planetary nebulae with especially messy morphologies — those without clear axial or point symmetries — may have been shaped by an interacting triple stellar system instead.

    Technion bloc

    3
    Examples of planetary nebulae that might have been shaped by a triple stellar system. They have some deviations from symmetry but also show signs of interacting with the interstellar medium. [Bear and Soker 2017]

    Departures from Symmetry

    To examine this possibility more closely, Bear and Soker look at a sample of thousands planetary nebulae and qualitatively classify each of them into one of four categories, based on the degree to which they show signs of having been shaped by a triple stellar progenitor. The primary signs the authors look for are:

    1. Symmetries
    If a planetary nebula has a strong axisymmetric or point-symmetric structure (i.e., it’s bipolar, elliptical, spherical, etc.), it was likely not shaped by a triple progenitor. If clear symmetries are missing, however, or if there is a departure from symmetry in specific regions, the morphology of the planetary nebula may have been shaped by the presence of stars in a close triple system.

    2.Interaction with the interstellar medium
    Some asymmetries, especially local ones, can be explained by interaction of the planetary nebula with the interstellar medium. The authors look for signs of such an interaction, which decreases the likelihood that a triple stellar system need be involved to produce the morphology we observe.

    4
    Examples of planetary nebulae that are extremely likely to have been shaped by a triple stellar system. They have strong departures from symmetry and don’t show signs of interacting with the interstellar medium. [Bear and Soker 2017]

    Influential Trios

    From the images in two planetary nebulae catalogs — the Planetary Nebula Image Catelog and the HASH catalog — Bear and Soker find that 275 and 372 planetary nebulae are categorizable, respectively. By assigning crude probabilities to their categories, the authors estimate that the total fraction of planetary nebulae shaped by three stars in a close system is around 13–21%.

    The authors argue that in some cases, all three stars might survive. This means that we may be able to find direct evidence of these triple stellar systems lying in the hearts of especially messy planetary nebulae.
    Citation

    Ealeal Bear and Noam Soker 2017 ApJL 837 L10. doi:10.3847/2041-8213/aa611c

    See the full article here .

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  • richardmitnick 2:14 pm on February 1, 2017 Permalink | Reply
    Tags: , , Technion-Israel Institute of Technology, The "Tech Triangle",   

    From Technion via Forbes: “Technion Spreads Its Knowhow To China And NYC In A New Tech Triangle” 

    Technion bloc

    Israel Institute of Technology

    ForbesMag

    Forbes

    Jan 31, 2017
    Rebecca Fannin

    Technion University was welcomed to New York City at a recent event where Technion’s President Peretz Lavie and Dan Huttenlocher, dean of Cornell Tech, shared plans on the campus being constructed on Roosevelt Island to bring game-changing science and technology education from Israel to New York City. While creating an Applied Sciences graduate school in New York City, Technion simultaneously is opening a campus in southern China’s Guangdong province.

    The technology world is at the forefront of an evolving trend – call it the Tech Triangle — that links Israel with China and the U.S. for venture capital and research and development of next generation breakthroughs. It’s a new angle on advances made by this strong trio of tech hubs.

    Israel and Silicon Valley have long dominated technological leadership and startup prowess, with Technion and Stanford turning out top engineering and entrepreneurial talent. China, which has an equivalent with Tsinghua, has joined this trio and is increasingly regarded as an innovator of breakthrough technologies from virtual reality to artificial intelligence. With 1.2million patents, China today ranks third worldwide for the number of patents – compared with to 2.5 million for the U.S. – and places second globally for venture capital investment, at nearly $50 billion in deals, narrowing the gap with the U.S. at $72 billion in VC investment. Israel comes in fourth globally for VC totals.

    The China link is strong and growing as it angles to become an innovative economic power from a manufacturing center and a good copier of western tech brands. China’s tech titans Baidu, Alibaba, Tencent and VCs such as Horizons Ventures have been acquiring and investing in both Israeli and American technology companies and setting up R&D centers. Meanwhile, VC funds are drawing capital from China sources as incubators and accelerators funded by Chinese have opened in Israel and Silicon Valley.

    The ties make sense, despite the challenges of market entry and expansion. Israeli companies need large markets for expansion. Chinese companies need access to leading edge technologies. Silicon Valley has long been a crossroads, leveraging venture capital and tech knowhow from the top hubs.

    A new Silk Road is evolving, and such players as the Technion Israel Institute of Technology with its new campuses in New York City and southern China are helping to create an important Tech Triangle of innovation. Silicon Dragon explores this Tech Triangle at a VC and tech forum held at the Tel Aviv Stock Exchange, February 20.

    See the full article here .

    Please help promote STEM in your local schools.

    STEM Icon

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    Technion Campus

    A science and technology research university, among the world’s top ten,
    dedicated to the creation of knowledge and the development of human capital and leadership,
    for the advancement of the State of Israel and all humanity.

     
  • richardmitnick 12:35 pm on December 22, 2016 Permalink | Reply
    Tags: , , Different Diseases Have Distinct Chemical Signatures, , Technion-Israel Institute of Technology, You Are What You Exhale   

    From Technion: “You Are What You Exhale” 

    Technion bloc

    Technion

    22/12/2016
    No writer credit

    Different Diseases Have Distinct Chemical Signatures.

    An international team of 56 researchers in five countries has confirmed a hypothesis first proposed by the ancient Greeks – that different diseases are characterized by different “chemical signatures” identifiable in breath samples. The findings by the team led by Professor Hossam Haick of the Technion-Israel Institute of Technology Department of Chemical Engineering and Russell Berrie Nanotechnology Institute at the Technion were published today in ACS Nano.

    1
    Professor Hossam Haick of the Technion-Israel Institute of Technology Department of Chemical Engineering

    Diagnostic techniques based on breath samples have been demonstrated in the past, but until now, there has not been scientific proof of the hypothesis that different and unrelated diseases are characterized by distinct chemical breath signatures. And technologies developed to date for this type of diagnosis have been limited to detecting a small number of clinical disorders, without differentiation between unrelated diseases.

    The study of more than 1,400 patients included 17 different and unrelated diseases: lung cancer, colorectal cancer, head and neck cancer, ovarian cancer, bladder cancer, prostate cancer, kidney cancer, stomach cancer, Crohn’s disease, ulcerative colitis, irritable bowel syndrome, Parkinson’s disease (two types), multiple sclerosis, pulmonary hypertension, preeclampsia and chronic kidney disease. Samples were collected between January 2011 and June 2014 from in 14 departments at 9 medical centers in 5 countries: Israel, France, the USA, Latvia and China.

    The researchers tested the chemical composition of the breath samples using an accepted analytical method (mass spectrometry), which enabled accurate quantitative detection of the chemical compounds they contained. 13 chemical components were identified, in different compositions, in all 17 of the diseases.

    2
    Diagram: A schematic view of the study. Two breath samples were taken from each subject, one was sent for chemical mapping using mass spectrometry, and the other was analyzed in the new system, which produced a clinical diagnosis based on the chemical fingerprint of the breath sample.

    According to Prof. Haick, “each of these diseases is characterized by a unique fingerprint, meaning a different composition of these 13 chemical components. Just as each of us has a unique fingerprint that distinguishes us from others, each disease has a chemical signature that distinguishes it from other diseases and from a normal state of health. These odor signatures are what enables us to identify the diseases using the technology that we developed.”

    With a new technology called “artificially intelligent nanoarray,” developed by Prof. Haick, the researchers were able to corroborate the clinical efficacy of the diagnostic technology. The array enables fast and inexpensive diagnosis and classification of diseases, based on “smelling” the patient’s breath, and using artificial intelligence to analyze the data obtained from the sensors. Some of the sensors are based on layers of gold nanoscale particles and others contain a random network of carbon nanotubes coated with an organic layer for sensing and identification purposes.

    The study also assessed the efficiency of the artificially intelligent nanoarray in detecting and classifying various diseases using breath signatures. To verify the reliability of the system, the team also examined the effect of various factors (such as gender, age, smoking habits and geographic location) on the sample composition, and found their effect to be negligible, and without impairment on the array’s sensitivity.

    “Each of the sensors responds to a wide range of exhalation components,” explain Prof. Haick and his previous Ph.D student, Dr. Morad Nakhleh, “and integration of the information provides detailed data about the unique breath signatures characteristic of the various diseases. Our system has detected and classified various diseases with an average accuracy of 86%.

    This is a new and promising direction for diagnosis and classification of diseases, which is characterized not only by considerable accuracy but also by low cost, low electricity consumption, miniaturization, comfort and the possibility of repeating the test easily.”

    “Breath is an excellent raw material for diagnosis,” said Prof. Haick. “It is available without the need for invasive and unpleasant procedures, it’s not dangerous, and you can sample it again and again if necessary.”

    Prof. Haick, full professor at Technion and head of three major European consortia, has received numerous prestigious awards and grants, including the Marie Curie Excellence Award, the European Research Council grant, grants from the Bill & Melinda Gates Foundation, the Hershel Rich Technion Innovation Award and the Humboldt Senior Research Award (Germany). He has been included in several important lists, including the list of the world’s 35 leading young scientists published by MIT’s Technology Review, the Nominet Trust 100 list (London), which includes the world’s 100 most influential inventors and digital developments, and the Los Angeles-based GOOD Magazine’s list of the 100 most influential people in the world. Prof. Haick also received the highest teaching award granted by the Technion – the Yanai Prize for Academic Excellence.

    See the full article here .

    Please help promote STEM in your local schools.

    STEM Icon

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    Technion Campus

    A science and technology research university, among the world’s top ten,
    dedicated to the creation of knowledge and the development of human capital and leadership,
    for the advancement of the State of Israel and all humanity.

     
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