As the world’s largest companies pour hundreds of billions of dollars into large language models, San Francisco-based Logical ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

Following the idea developed with the programming language CUDA—letting GPUs be used for applications other than graphic ...

When managing associate Tanya Sadoughi found a recurring problem in the banking and finance practice, she put her newfound coding skills to the test and created a tool that is now used across the firm ...

Abstract: Large Language Models (LLMs) have significantly advanced natural language processing but frequently encounter instability issues during training, notably exploding gradients. Exploding ...

Background In an ophthalmology emergency department, determining treatment urgency is crucial for patient safety and the efficient use of resources. The aim of this study was to use artificial ...

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

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.