Meta's new AI, Brain2Qwerty v2, decodes brain signals into text without surgery, achieving 61% word accuracy. This ...

Temporal encoding of signalling dynamics is not just widespread; it offers a fundamental information-theoretic advantage in cellular communication. Recent advances in channel capacity measurement and ...

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...

While LLMs like ChatGPT and Claude have processed text at a scale that no human mind can approach, the AI does not have the ...

GRAPE is a unified group-theoretic framework for positional encoding that subsumes multiplicative mechanisms (like RoPE) and additive mechanisms (like ALiBi and FoX) under a single mathematical ...

Abstract: Semantic communications have the potential to play a key role in next-generation AI-native communication systems, especially when combined with the expressivity power of generative models.

Abstract: This paper is concerned with the resilient distributed state estimation issue for smart grids under probabilistic encoding-decoding scheme and randomly occurring deception attacks. Due to ...

Rapid Serial Visual Presentation (RSVP)-based brain-computer interfaces (BCIs) are valuable for target detection and rehabilitation because they require no motor involvement and can elicit reliable ...

The generative AI boom has driven the cost of memory into the stratosphere, and Google is a key part of that trend. So it’s only fitting that Google should offer some less RAM-hungry local AI models.

In the Karoo, South Africa’s vast semidesert, an African striped mouse basks in the morning warmth outside the bush it calls home. Nearby, audio equipment casts a long shadow on the rust-colored earth ...

Most interactive video world models still assume a single agent: one user, one action stream, one generated future. γ-World adopts a harder, more realistic setting: several independently acting agents ...