Press Clips from 2019

June 27, 2019

Venture Beat

Intel highlights AI that can see around corners, coach children on the autism spectrum, and more

This week marks the start of the Conference on Computer Vision and Pattern Recognition (CVPR), an academic convention cosponsored by the Institute of Electrical and Electronic Engineers' Computer Society and the Computer Vision Foundation. It's grown substantially since 1983, its inaugural year, and now sees thousands of research paper from tens of thousands of researchers submitted annually. In fact, for the first time, this year it accepted over 1,000 studies from a pool of 5,165. Intel's research team is one of the many who put forth their work for consideration Full Story

June 27, 2019

Tech Crunch

Intel is doing the hard work necessary to make sure robots can operate your microwave

Training computers and robots to not only understand and recognize objects (like an oven, for instance, as distinct from a dishwasher) is pretty crucial to getting them to a point where they can manage the relatively simple tasks that humans do every day. But even once you have an artificial intelligence trained to the point where it can tell your fridge from your furnace, you also need to make sure it can operate the things if you want it to be truly functional. That's where new work from Intel AI researchers, working in collaboration with UCSD and Stanford, comes in -- Full Story

June 27, 2019

IEEE Spectrum

Massive 3D Dataset Helps Robots Understand What Things Are

One of the things that makes humans so great at adapting to the world around us is our ability to understand entire categories of things all at once, and then use that general understanding to make sense of specific things that we?ve never seen before. For example, consider something like a lamp. We?ve all seen some lamps. Nobody has seen every single lamp there is. But in most cases, we can walk into someone's house for the first time and easily identify all their lamps and how they work. Full Story

June 27, 2019

The Robot Report

Intel, OSU, Stanford, and UC San Diego work on reinforcement learning, PartNet could help household robots

Intel Corp. has been a strong supporter of research into artificial intelligence, machine learning, and computer vision, and two of its collaborations have implications for robots that operate in dynamic environments such as households. This week, Intel AI Lab and researchers at Oregon State University and the University of California, San Diego, presented papers that offer a new model for reinforcement learning and a massive dataset for training object recognition, respectively. "We want to expand two approaches for machine learning to explore spaces with a more complex set of interactions," Full Story

June 27, 2019

Intel AI

Introducing PartNet: The First Large-Scale Dataset with Fine-Grained, Hierarchical, Instance-Level Part Annotations

Identifying objects and their parts is critical to how humans understand and interact with the world. For example, using a stove requires not only identifying the stove itself, but also its subcomponents: burners, control knobs, etc. This same capability is essential to many AI vision, graphics, and robotics applications, including predicting object functionality, human-object interaction, simulation, shape editing, and shape generation. This wide range of applications has spurred great demand for large 3D datasets with part annotations. Full Story