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

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...

AI has the potential to accelerate operations, but this raises a new challenge: how to keep humans in the loop when AI can ...

In his illuminating book Co-Intelligence, Ethan Mollick describes the potential for human-AI collaboration. He suggests that it will be critical for humans to remain “in the loop” when engaging with ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

Last week Nvidia finally got permission to sell one of its most advanced semiconductor chips to China. The catch: The federal government will take 25% of the revenue from those sales. The Nvidia deal ...

Abstract: An important question in data-driven control is how to obtain an informative dataset. In this work, we consider the problem of effective data acquisition of an unknown linear system with ...

Yoodli, an AI-powered communication training startup, has reached a valuation of more than $300 million — more than triple its level six months ago — as it builds technology meant to assist people ...

Lab-grown “reductionist replicas” of the human brain are helping scientists understand fetal development and cognitive disorders, including autism. But ethical questions loom. Brain organoids, which ...

This strategy isn't just creative finance – it's a carefully orchestrated ecosystem where Nvidia cashes in twice, first on chip sales, then on startup equity, while fueling its own AI research. Read ...