Category Added in a WPeMatico Campaign
Over the past decades, computer scientists have introduced increasingly sophisticated machine learning-based models, which can perform remarkably well on various tasks. These include multimodal large language models (MLLMs), systems that can process and generate different types of data, predominantly texts, images and videos.
Patients using chatbots to assess their own medical conditions may end up with worse outcomes than conventional methods, according to a new Oxford study.Read More
Your membership gets you more than free two-day shipping. Here’s what you may be missing ahead of Amazon Prime Day 2025.
A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a decision was made is just as important as the decision itself, like medical diagnostics.
A robot powered by V-JEPA 2 can be deployed in a new environment and successfully manipulate objects it has never encountered before.Read More
Launched in April, the Meta AI platform offers a “discover” feed that includes user queries containing medical, legal, and other seemingly sensitive information.
Deep learning and AI systems have made great headway in recent years, especially in their capabilities of automating complex computational tasks such as image recognition, computer vision and natural language processing. Yet, these systems consist of billions of parameters and require great memory usage as well as expensive computational cost.
Mistral AI partners with Nvidia to launch European AI infrastructure platform, challenging US cloud giants while unveiling breakthrough reasoning models that rival OpenAI.Read More
Air-fried taters and corn cobs are a silly but welcome indulgence on the newest griddle from Blackstone.
A team of engineers, AI specialists and chip design researchers at the Chinese Academy of Sciences has designed, built and tested what they are describing as the first AI-based chip design system. The group has published a paper describing their system, called QiMeng, on the arXiv preprint server.