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Its Majorana 1 chip, made of a new material, can perform high-level computing tasks with greater speed and accuracy, Microsoft says.

The future of search will include AI, but the technology will need a lot of work and trust before it changes how we access information.

A new machine-learning model can identify the stage of disease in ductal carcinoma in situ, a type of preinvasive tumor that can sometimes progress to a deadly form of breast cancer. This could help clinicians avoid overtreating patients whose disease is unlikely to progress.

A new technique enables large language models like GPT-4 to more accurately solve numeric or symbolic reasoning tasks by writing a Python program in code that generates the correct answer to a user's query.

It's OK to be doubtful of tech leaders' grandiose visions of our AI future—but that doesn't mean the technology won't have a huge impact.

Matthias Winkenbach, director of research for the MIT Center for Transportation and Logistics, uses machine learning, specifically a transformer model from natural language processing, to make vehicle routing more efficient and adaptable for unexpected events.

Mistral Large is designed to compete head-to-head with OpenAI's dominant GPT-3 and GPT-4 models by generating human-like text and conversing knowledgeably on a range of topics.

Anantha Chandrakasan, dean of the School of Engineering and the Vannevar Bush Professor of Electrical Engineering and Computer Science, has been named as MIT's first chief innovation and strategy officer, effective immediately.

Think you've missed the boat on AI investments? Don't worry -- this overlooked sector pioneer might prove you wrong.

After making the world's largest quantum chip (and cryogenic fridge), Big Blue is taking a more modular approach to build an error-corrected computer.

I spent my holiday break earning my digital credential in AI from IBM. The last session was my favorite.

Sentences with greater linguistic complexity are most likely to fire up a key brain language processing center, according to an MIT study that employed an artificial language network.

MIT graduate students Irene Terpstra and Rujul Gandhi in the 6A Program explore using AI to design new integrated circuits and make language understandable to robots.

According to IBM's Z Software VP, Skyla Loomis, Watsonx is a developer assistant tool that uses AI but can't perform every task independently. The generative AI service...

Heather Thomson, Director of Skills and Talent at The Data Lab urges society to keep calm and focus on the opportunities afforded by artificial intelligence

Researchers hypothesize that a powerful type of AI model known as a transformer could be implemented in the brain through networks of neuron and astrocyte cells. The work could offer insights into how the brain works and help scientists understand why transformers are so effective at machine-learning tasks.

Discovering new materials and drugs typically involves a manual, trial-and-error process that can take decades and cost millions of dollars. To streamline this process, scientists often use machine learning to predict molecular properties and narrow down the molecules they need to synthesize and test in the lab.

Scientists from MIT and IBM Research made a computer vision model more robust by training it to work like a part of the brain that humans and other primates rely on for object recognition.

Brad Rutter, the highest-earning all-time "Jeopardy!" contestant, pulled back the curtain on his relationship with fellow champions Jennings and James Holzhauer.

MIT CSAIL researchers used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.