Vision language models trained on traffic data help cities and transport networks move from reactive video monitoring to ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...

From large language models to whole brain emulation, two rival visions are shaping the next era of artificial intelligence.

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

As someone who owns more than fifteen volumes from the MIT Press Essential Knowledge series, I approach each new release with both interest and caution: the series often delivers thoughtful, ...

Language isn’t always necessary. While it certainly helps in getting across certain ideas, some neuroscientists have argued that many forms of human thought and reasoning don’t require the medium of ...

Large language models (LLMs) such as GPT-4o and other modern state-of-the-art generative models like Anthropic’s Claude, Google's PaLM and Meta's Llama have been dominating the AI field recently.