Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

InstaDrive, proposed by SJTU researchers, addresses autonomous driving’s tedious annotation and long-tail data issues. It ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Design an explicit, three-part learning sequence: The learning sequence starts with a pre-visit phase, followed by an outdoor visit phase, followed by a post-visit phase. Each part of the sequence ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...

A firm that wants to use a large language model (LLM) to summarize sales reports or triage customer inquiries can choose between hundreds of unique LLMs with dozens of model variations, each with ...

Physical AI marks a transition from robots as programmed tools to robots as adaptable collaborators. That transition will unfold over years rather than months, but the foundation models emerging from ...

Every new large language model release arrives with the same promises: bigger context windows, stronger reasoning, and better benchmark performance. Then, before long, AI-savvy marketers feel a ...

While agentic AI is a natural extension of chatbots and other AI technology, the right use cases must be chosen.