“The more accurate the algorithm, the harder it is to interpret, especially with deep learning,” points out Sameer Singh, assistant professor of computer science at the University of California Irvine. “Computers are increasingly a more important part of our lives, and automation is just going to improve over time, so it’s increasingly important to know why these complicated AI and ML systems are making the decisions that they are.”
Read the full story at Forbes.
Ten years ago, Geeman Yip sat in his basement with his two dogs waiting for the world to end. That’s what it felt like, anyway. Facing bankruptcy, a market that didn’t believe in his vision and a crisis of confidence unparalleled in his experience, Yip felt like he was standing completely alone on a ledge screaming into a void. It would have been easier to jump, to fold his nascent startup and head back to his cushy job at Microsoft. It was tempting. But Yip somehow dug deep and found the grit he needed to pull himself and his company, BitTitan, back from the ledge for one final effort.
Read the full story at Channel Partners Online.
UCI machine learning dataset repository is something of a legend in the field of machine learning pedagogy. … As an indication of the impact of the archive, it has been cited over 1000 times, making it one of the top 100 most cited “papers” in all of computer science.
Read the full story at Medium.
Two algorithms developed by the researchers, collectively called Deep Cube, typically can solve the 3-D combination puzzle within 30 moves, which is less than or equal to systems that use human knowledge, according to the team’s research paper. Less than 5.8% of the world’s population can solve the Rubik’s Cube, according to the Rubik’s website.
Read the full story at the Los Angeles Times.
UCI Professor of Computer Science Aditi Majumder’s, Ph.D., journey into the virtual/augmented reality world stems back to a young girl growing up in Kolkata, India around her mother, a professional musician and her father, a civil engineer. Both parents unknowingly planted the hybrid seed of art and science, which led Majumder to pursue a blossoming career in virtual/augmented reality that intertwines with her deep appreciation for art and music.
Read the full story at UCI Applied Innovation Tech Currents.
Researchers from the University of California, Irvine developed a deep learning-based approach to accelerate drug discovery and cancer research.
“We have developed a convolutional neural network to improve the data analysis processes for high-throughput drug screening using our microphysiological system (MPS),” the researchers stated in their paper.
Read the full story at NVIDIA Developer News Center.
Watch a Knowledge Center video from California Manufacturing Technology Consulting (CMTC) that features Professor Aditi Majumder discussing her work and its impacts on manufacturing.
Michael Goodrich, UCI Chancellor’s Professor of computer science, has been elected as a foreign member of the Royal Danish Academy of Sciences & Letters. Goodrich is a leader in the field of algorithm design, where he is highly recognized for research in geometric computing, networking, geographic information systems, computer security and big data processing. [Read more…]
Chancellor’s Professor of Computer Science Pierre Baldi has received a $980,000 grant from the National Institutes of Health (NIH) to develop tools that will lead to insights into circadian oscillations and their role in health and disease. He is the Principal Investigator on the grant, “Bioinformatics Tools for Circadian Biology,” which runs through April 2020.
In this issue’s feature article, Computer Vision for the Masses, a group of collaborators from the University of California, Irvine, and Intel Labs describe their work to translate many of OpenCV’s key capabilities to JavaScript to do high-performance computer vision within the Open Web Platform. They present compelling examples of common computer vision applications like edge detection, face recognition, background subtraction, and image recognition using deep neural networks running within a browser.
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