Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

Language understanding is inherently multimodal. Whether we read, listen, or converse, our brains go beyond words to draw on visual scenes, prosody, prior ...

Why AI agents stall in production: fine-tuning forgets, RAG leaks context. Hypernetworks generate a task-specific model from ...

This manuscript represents a valuable contribution to understanding motion processing in the visual cortex. Based on a heterogeneous collection of previous empirical findings, the authors show that ...

Google is dedicating a chip to running artificial intelligence models, and a separate processor to training models. Amazon is pursuing a similar strategy, as both companies take on Nvidia by offering ...

Abstract: Most functional magnetic resonance imaging studies rely on estimates of hierarchically organized functional brain networks whose segregation and integration reflect the cognitive and ...

The AI industry has converged on a deceptively simple metric: cost per token. It’s easy to understand, easy to compare, and easy to market. Every new system promises to drive it lower. Charts show ...

Aaron Judge and the Yankees open the 2026 MLB season on Netflix on Wednesday night. Illustration: Kelsea Petersen / The Athletic; New York Yankees / Getty The Athletic has live coverage of the 2026 ...

Purpose-built network fabric designed to accelerate delivery of real-time and agentic AI applications with improved throughput and power efficiency while reducing token retrieval time, latency, and ...

Arrcus launched a new network fabric layer targeted at potential traffic bottlenecks caused by the growing use of AI inferencing services. The Arrcus Inference Network Fabric (AINF) is designed to ...

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...