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

Machine Learning (ML) and Artificial Intelligence (AI) have become essential technologies across industries, automating tasks at a speed and scale far beyond human capabilities. However, building ...

LAS VEGAS--(BUSINESS WIRE)--At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced four new innovations for Amazon SageMaker AI to help ...

Ubitus K.K., a global leader in cloud streaming and AI solutions (Headquarters: Shinjuku, Tokyo; CEO: Wesley Kuo), today announced that it has been officially selected for the Large-Scale Growth ...

What if you could harness the raw power of a machine so advanced, it could process a 235-billion-parameter large language model with ease? Imagine a workstation so robust it consumes 2500 watts of ...

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...

Autonomy, the platform-as-a-service for building and scaling production-grade AI agents, today announced a new integration ...

Many businesses are just beginning to grapple with the impact of artificial intelligence, but some have been using machine learning (ML) and other emerging technologies for over a decade. Also: Most ...

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...

Parse Biosciences, a leading provider of accessible and scalable single cell sequencing solutions, today announced that Tahoe Therapeutics has selected Parse’s GigaLab to generate data for its ...