IBM Releases Novel AI-Powered Technologies To Help Health And Research Community Accelerate The Discovery Of Medical Insights And Treatments For COVID-19
IBM Research has been actively developing new cloud and AI-powered technologies that can help researchers across a variety of scientific disciplines accelerate the process of discovery. As the COVID-19 pandemic unfolds, we continue to ask how these technologies and our scientific knowledge can help in the global battle against coronavirus. IBM makes available multiple novel, …
DarwinAI Makes AI Applications More Efficient And Less Of A ‘Black Box’ — With Its Own AI
As a student pursuing a doctorate in systems design engineering at the University of Waterloo, Alexander Wong didn’t have enough money for the hardware he needed to run his experiments in computer vision. So he invented a technique to make neural network models smaller and faster. “He was giving a presentation, and somebody said, ‘Hey, …
Red Hat Accelerates AI/ML Workflows And Delivery Of AI-Powered Intelligent Applications With Red Hat OpenShift
Red Hat, Inc., the world’s leading provider of open source solutions, highlighted that more organizations are using Red Hat OpenShift as the foundation for building artificial intelligence (AI) and machine-learning (ML) data science workflows and AI-powered intelligent applications. OpenShift helps to provide agility, flexibility, portability and scalability across the hybrid cloud, from cloud infrastructure to edge …
Stanford Engineers Create Shape-Changing, Free-roaming Soft Robot
Advances in soft robotics could someday allow robots to work alongside humans, helping them lift heavy objects or carrying them out of danger. As a step toward that future, Stanford University researchers have developed a new kind of soft robot that, by borrowing features from traditional robotics, is safe while still retaining the ability to …
Intel Scales Neuromorphic Research System To 100 Million Neurons
Intel announced the readiness of Pohoiki Springs, its latest and most powerful neuromorphic research system providing the computational capacity of 100 million neurons. The cloud-based system will be made available to members of the Intel Neuromorphic Research Community (INRC), extending their neuromorphic work to solve larger, more complex problems. “Pohoiki Springs scales up our Loihi neuromorphic …
How A Computer Chip Can Smell Without A Nose
The Future of Neuromorphic Computing: Nabil Imam, Intel Senior Research Scientist, Explains Neuromorphic Computing Nabil Imam, a senior research scientist in Intel Labs’ neuromorphic computing group, works with olfactory neurophysiologists at Cornell University. “My friends at Cornell study the biological olfactory system in animals and measure the electrical activity in their brains as they smell odors,” …
88% Of Security Leaders Say Supercharged AI Attacks Are Inevitable
Darktrace, the world’s leading cyber AI company, announced that a commissioned study conducted by Forrester Consulting on behalf of Darktrace finds the majority of security leaders are preparing for AI-powered cyber-attacks. 88% of respondents think offensive AI is inevitable, with almost half of respondents anticipating the industry will see these attacks in the next year. …
Introducing Cloud AI Platform Pipelines
When you’re just prototyping a machine learning (ML) model in a notebook, it can seem fairly straightforward. But when you need to start paying attention to the other pieces required to make a ML workflow sustainable and scalable, things become more complex. A machine learning workflow can involve many steps with dependencies on each other, …
Showing Robots How To Do Your Chores
Making progress on that vision, MIT researchers have designed a system that lets these types of robots learn complicated tasks that would otherwise stymie them with too many confusing rules. One such task is setting a dinner table under certain conditions. At its core, the researchers’ “Planning with Uncertain Specifications” (PUnS) system gives robots the …
Using Integrated ML To Deliver Low-latency Mobile VR Graphics
What it is: A new low-latency, power-efficient framework for running machine learning in the rendering pipeline for standalone VR devices that use mobile chipsets. This architecture makes it possible to use ML on these devices to significantly improve image quality and video rendering. We have created a sample application under this framework to reconstruct higher-resolution …