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January 15, 2023
Tech.AI to Launch a new series of talks in collaboration with Matam Hi Tech Park
Tech.AI to Launch a new series of talks in collaboration with Matam Hi Tech Park to bring the forefront of Technion AI research to High Tech companies engineers
January 4, 2023
What is noise in image and how to remove it
What do you do on Mondays at 4pm? Starting in January 16.1 2023, Tech.AI, the Center for Artificial Intelligence at the Technion, will hold a series of weekly lectures by the best Technion researchers and members At Tech.AI, in the new TECH & TALK complex in Matam. The activity takes place as part of a collaboration between the Technion and Matam Park. We invite you to register for the "Tech.AI on stage" series, which will allow you to get to know and learn directly from the front of the Technion's work, to create and strengthen collaborations with the Technion's researchers, and to establish the park community with us. Image Denoising - Not What You Think! Prof. Michael Elad, Faculty of Computer Science. Image denoising – removal of white additive Gaussian noise from an image – is one of the oldest and most studied problems in image processing. An extensive work over several decades has led to thousands of papers on this subject, and to many well-performing algorithms for this task. As expected, the era of deep learning has brought yet another revolution to this subfield, and took the lead in today’s ability for noise suppression in images. All this progress has led some researchers to believe that “denoising is dead”, in the sense that all that can be achieved is already done. Exciting as all this story might be, this talk IS NOT ABOUT IT! Our story focuses on recently discovered abilities and vulnerabilities of image denoisers. In a nut-shell, we expose the possibility of using image denoisers for serving other problems, such as regularizing general inverse problems and serving as the engine for image synthesis. We also unveil the (strange?) idea that denoising (and other inverse problems) might not have a unique solution, as common algorithms would have you believe. Instead, we will describe constructive ways to produce randomized and diverse high perceptual quality results for inverse problems. Speaker’s Bio: Michael Elad holds a B.Sc. (1986), M.Sc. (1988) and D.Sc. (1997) in Electrical Engineering from the Technion in Israel. Since 2003 he holds a faculty position in the Computer-Science department at the Technion. Prof. Elad works in the field of signal and image processing, specializing in particular on inverse problems, sparse representations and deep learning. He has authored hundreds of publications in leading venues, many of which have led to exceptional impact. Prof. Elad has served as an Associate Editor for IEEE-TIP, IEEE-TIT, ACHA, SIAM-Imaging-Sciences – SIIMS and IEEE-SPL. During the years 2016-2021 Prof. Elad served as the Editor-in-Chief for SIIMS. Michael received numerous teaching and research awards and grants, including an ERC advanced grant in 2013, the 2008 and 2015 Henri Taub Prizes for academic excellence, and the 2010 Hershel-Rich prize for innovation, the 2018 IEEE SPS Technical Achievement Award for contributions to sparsity-based signal processing; the 2018 IEEE SPS Sustained Impact Paper Award for his K-SVD paper, and the 2018 SPS best paper award for his paper on the Analysis K-SVD. Michael is an IEEE Fellow since 2012, and a SIAM Fellow since 2018.  
December 26, 2022
Revolutionizing sleep monitoring using Deep Learning: a new wearable technology accurately measuring sleep stages from pulsatile signals
Sleep staging is an essential component in the diagnosis of sleep disorders and the management of sleep health. Researchers from the Laboratory for Artificial Intelligence in Medicine, headed by Dr. Joachim Behar showed that it is possible to accurately measure sleep stages using photoplethysmography (PPG) signals recorded with standard oximetry. This opens the door for the development of wearable devices that can be used to diagnose sleep disorders and improve sleep health. The study, which analyzed 23,055 hours of continuous nocturnal data, demonstrates the feasibility of using the PPG signal to robustly perform sleep staging, which is traditionally a labor-intensive process. The research was published in IEEE Journal of Biomedical and Health Informatics (JBHI). The authors of the paper are Kevin Kotzen, Dr. Peter Charlton, Sharon SALABI, Léa Amar, Prof. Amir Landesberg, and Dr. Joachim Behar. Read the full paper: https://lnkd.in/dSiquJjq.  
December 22, 2022
Prof. Shahar Kvatinsky designs brain-inspired computer hardware and teaches it to recognize handwriting
Another technological breakthrough at the Technion! Ready to break new ground? Take a look at what Professor Shahar Kvatinsky from the Andrew and Erna Viterby Faculty of Electrical & Computer Engineering has been up to with his team. Using a new type of computer architecture that combines both processing and storage in the same hardware, Professor Kvatinsky and his team have designed a neuromorphic computer chip and taught it to recognize handwriting using deep-belief algorithms. The chip is based on commercial technology from Tower Semiconductor and has achieved 97% accuracy in recognition while consuming minimal energy. Used in AI and machine-learning applications, the goal of neuromorphic hardware is to create more powerful and efficient computers that can learn and adapt to new situations. Together with Tower Semiconductor, the study was led by two researchers in Prof. Kvatinsky’s lab: postdoctoral fellow Dr. Wei Wang and Phd student Loai Danial. The work was also supported by the European Research Council (ERC) and the EU Horizon 2020 Future and Emerging Technologies (FET)-OPEN program. Professor Shahar Kvatinsky  
24 on November, 2022
A Technion-developed deep-learning system looks at breast cancer scans better than a human ever could
Picture of A Technion-developed deep-learning system looks at breast cancer scans better than a human ever could
Dr. AI, What’s My Diagnosis? A Technion-developed deep-learning system looks at breast cancer scans better than a human ever could.
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October 30, 2022
Israel eager for UK deal as Britain mulls over 'Global Plan B' after £80bn Brexit snub
Picture of Israel eager for UK deal as Britain mulls over 'Global Plan B' after £80bn Brexit snub
An Israeli scientist collaborating with British researchers has welcomed the “fantastic opportunity” of a UK-Israel deal which could be on the cards as Britain scrambles to replace the EU with other science power houses after it was booted out of the bloc’s flagship innovation programme.
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October 22, 2022
Mana.bio raised $5 million to improve vaccines and medicines using AI
This is already a well-known anecdote: it took the Moderna company two days to develop the corona vaccine from the moment it had the RNA sequence of the virus. But what was more complex, it turns out, was finding how to introduce the vaccine into the body.
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September 15, 2022
The Technion is Number One in Europe in the Field of Artificial Intelligence
September 14, 2022
Once Again, the Technion is Number One in Europe in the Field of Artificial Intelligence
For the second year in a row, the Technion-Israel Institute of Technology is Europe’s top-ranked university in the field of artificial intelligence (AI), according to the prestigious international CSRankings. The repeat win further establishes the Technion’s position as a leading institution in the field and creates a new community to empower students and researchers and promote collaborations with industry and academia.
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September 9, 2022
Hebrew University and Technion Partner with IBM to Advance Artificial Intelligence
Picture of Hebrew University and Technion Partner with IBM to Advance Artificial Intelligence

Following collaborations with MIT, Stanford, and other leading universities around the globe, IBM Research to invest millions in research at these two leading Israeli universities

(Haifa, September 8, 2022)—The Technion and the Hebrew University of Jerusalem have signed a partnership agreement with IBM Research to advance artificial intelligence capabilities and applications in Israel. The collaboration was announced this week at a conference held by IBM in Tel Aviv to mark 50 years since the establishment of the IBM Research Lab in Israel. Read More
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