Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers ...

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on massive datasets, increased the number of parameters, and threw immense ...

It’s been three years since OpenAI released ChatGPT and kicked off a surge in innovation and attention on AI. Since then, ...

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Microsoft Corporation, Alphabet Inc Class A, NVIDIA Corporation, Meta Platforms Inc. Read 's Market Analysis on Investing.com ...

MarketWatch gave the following prompt to OpenAI's ChatGPT, Google's Gemini, Anthropic's Claude and xAI's Grok chatbots: "You are a technology portfolio manager looking at opportunities for 2026.

World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

What cyber trends and predictions are coming for 2026? Here’s your annual security industry prediction report roundup for the ...

A key tech trend is centralised AI is evolving into a more distributed model, where large models and micro LLMs work together ...