Microsoft Shares What’s Next In Machine Learning At NVIDIA GTC
Finding scalable solutions for today’s global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC), AI, and machine learning. The behind-the-scenes power for everything from MRI scans to energy management and financial services, these technologies are equipping customers and …
Announcing The PyTorch Foundation: A New Era For The Cutting-Edge AI Framework
Since we partnered with the AI community to create the PyTorch framework for AI research six years ago, open collaboration has been essential to its success. With some 2,400 contributors who have built more than 150,000 projects on the framework, PyTorch has become one of the leading platforms for AI research as well as commercial production use. Today, we …
Charmed Kubeflow 1.6 Is Now Available From Canonical
Canonical, the publisher of Ubuntu, announces today the release of Charmed Kubeflow 1.6, an end-to-end MLOps platform with optimised complex model training capabilities. Charmed Kubeflow is Canonical’s enterprise-ready distribution of Kubeflow, an open-source machine learning toolkit designed for use with Kubernetes. Charmed Kubeflow 1.6 follows the same release cadence as the Kubeflow upstream project. This latest …
Twitter: Helping Customers Find Meaningful Spaces With AutoML
Editor’s note: Since launching its Spaces feature, Twitter has demonstrated that hearing people’s voices can bring conversations on Twitter to life in a completely new way. Next, it aimed to make it easier for customers to join and listen to live conversations they personally care about. In this blog, we learn how the Twitter Spaces …
AI System Makes Models Like DALL-E 2 More Creative
The internet had a collective feel-good moment with the introduction of DALL-E, an artificial intelligence-based image generator inspired by artist Salvador Dali and the lovable robot WALL-E that uses natural language to produce whatever mysterious and beautiful image your heart desires. Seeing typed-out inputs like “smiling gopher holding an ice cream cone” instantly spring to …
Join Us In The AI Test Kitchen
As AI technologies continue to advance, they have the potential to unlock new experiences that support more natural human-computer interactions. We see a future where you can find the information you’re looking for in the same conversational way you speak to friends and family. While there’s still lots of work to be done before this …
Using AI To Decode Speech From Brain Activity
Every year, more than 69 million people around the world suffer traumatic brain injury, which leaves many of them unable to communicate through speech, typing, or gestures. These people’s lives could dramatically improve if researchers developed a technology to decode language directly from noninvasive brain recordings. Today, we’re sharing research that takes a step toward this goal. We’ve …
Intel Labs Improves Interactive, Continual Learning For Robots With Neuromorphic Computing
Intel Labs, in collaboration with the Italian Institute of Technology and the Technical University of Munich, has introduced a new approach to neural network-based object learning. It specifically targets future applications like robotic assistants that interact with unconstrained environments, including in logistics, healthcare or elderly care. This research is a crucial step in improving the …
Converting Several Audio Streams Into One Voice Makes It Easier For AI To Learn
IBM researchers showed that putting the words of multiple speakers into one voice helps AI models pick up the nuances of spoken language. Their algorithm builds on a popular foundation model for speech processing, improving its accuracy and continuing IBM’s efforts to make AI accessible to everyone. IBM researchers showed that putting the words of …
AI That Can Learn The Patterns Of Human Language
Human languages are notoriously complex, and linguists have long thought it would be impossible to teach a machine how to analyze speech sounds and word structures in the way human investigators do. But researchers at MIT, Cornell University, and McGill University have taken a step in this direction. They have demonstrated an artificial intelligence system …