The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.

Cybersecurity stocks slumped on Friday on a report that Anthropic is testing a powerful new artificial intelligence model called Mythos that presents potential security risks. The rise of AI is ...

Abstract: Reconstructing prompts in text generation systems is a significant challenge in natural language processing (NLP). This study presents a novel Siamese encoder-decoder framework augmented ...

At Argonne National Laboratory, researchers are trading in old-school approximations for raw supercomputing power, proving that the secret to a safer carbon-free future lies in mastering the math of ...

Meta’s former chief AI scientist has long argued that human-level AI will come from mastering the physical world, not language. His new startup, AMI, aims to prove it. LeCun argues that most human ...

Free Gemini users can now generate images with real-time information, legible text, and more. Free Gemini users can now generate images with real-time information, legible text, and more. is a news ...

Open Broadcast Systems, a specialist in software-based professional video transport, has added support for 200 Gigabit Ethernet to its range of encoders and decoders. This update enables media ...

New AI models launched by China's biggest players underscore how the country's companies are keeping up with the U.S. Alibaba launched a model called RynnBrain specifically designed for "physical AI" ...

Northwestern University scientists have developed the most advanced organoid model for human spinal cord injury to date. In a new study, the research team used lab-grown human spinal cord organoids - ...

BART is an encoder-decoder model that is particularly effective for sequence-to-sequence tasks like summarization, translation, and text generation. Florence-2 is a vision-language model from ...

Converting protein tertiary structure into discrete tokens via vector-quantized variational autoencoders (VQ-VAEs) creates a language of 3D geometry and provides a natural interface between sequence ...