Adding speech recognition to a product isn’t easy: Assuming the device has the microphones and chips necessary to detect spoken words, building software to properly transform even one language worth of input into correct responses is a huge hurdle for most companies. Today, Sensory is officially releasing a solution called VoiceHub, which promises to add multilingual natural language…
Researchers develop AI framework that predicts object motion from image and tactile data
January 19, 2021
Recent AI research has pointed out the synergies between touch and vision. One enables the measurement of 3D surface and inertial properties while the other provides a holistic view of objects’ projected appearance. Building on this work, researchers at Samsung, McGill…
Selling prerecorded exercise videos for at-home workouts has been a viable business model for decades, and the pandemic has only increased the need for home solutions spanning every conceivable fitness category. But these videos couldn’t replace a key element of in-person…
Language AI is really heating up
January 18, 2021
In just a short number of years, deep learning algorithms have evolved to be able to beat the world’s best players at board games and recognize faces with the same accuracy as a human (or perhaps even better). But mastering the unique and far-reaching complexities of human language has proven to be one of AI’s toughest challenges.
Could that be about to change?
The ability for computers to…
Technologies like artificial intelligence and human genome editing “reveal and reflect even more about the complex and sometimes dangerous social architecture that lies beneath the scientific progress that we pursue,” said Dr. Alondra Nelson today as part of the…
Once upon a time in Silicon Valley, engineers at the various electronics firms would tinker at their benches and create new inventions. This tinkering was done, at least in part, to show to the engineer at the next bench so they could both appreciate the ingenuity and…
In June, OpenAI published a paper detailing GPT-3, a machine learning model that achieves strong results on a number of natural language benchmarks. At 175 billion parameters — the part of the model that has learned from historical training data — it’s one of the largest of its kind. It’s also among the most sophisticated, with the ability to make primitive analogies, write in the style of…
A battle for control over machine learning operations (MLOps) is beginning in earnest as organizations embrace feature store repositories to build AI models more efficiently.
A feature store is at its core a data warehouse through which developers of AI models can share and…
Deep reinforcement learning systems are among the most capable in AI, particularly in the robotics domain. However, in the real world, these systems encounter a number of situations and behaviors to which they weren’t exposed during development.
In a step toward systems…
AI systems’ failures have become a recurring theme in technology news. Credit scoring algorithms that discriminate against women. Computer vision systems that misclassify people with darker skin. Recommendation systems that promote violent content. Trending algorithms that amplify fake news.
Most complex software systems fail at some point, and they need to be updated regularly. We have…
