AI and brain control: New system identifies animal behavior and silences responsible neurons in real time

A male fruit fly in a laboratory chamber extends his wings and vibrates them to produce his species’ version of a love song. A female fly stays nearby listening. Suddenly, a green light flashes across the chamber for a fraction of a second. The male’s song cuts off mid-note and his wings fold. The female, …

Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization

Efficient large-scale inference of transformer-based large language models (LLMs) remains a fundamental systems challenge, frequently requiring multi-GPU parallelism to meet stringent latency and throughput targets. Conventional tensor parallelism decomposes matrix operations across devices but introduces substantial inter-GPU synchronization, leading to communication bottlenecks and degraded scalability. We propose the Parallel Track (PT) Transformer, a novel architectural …

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How Amazon uses Amazon Nova models to automate operational readiness testing for new fulfillment centers

Amazon is a global ecommerce and technology company that operates a vast network of fulfillment centers to store, process, and ship products to customers worldwide. The Amazon Global Engineering Services (GES) team is responsible for facilitating operational readiness across the company’s rapidly expanding network of fulfillment centers. When launching new fulfillment centers, Amazon must verify …

Gemini Enterprise Agent Ready (GEAR) program now available, a new path to building AI agents at scale

Today’s reality is agentic – software that can reason, plan, and act on your behalf to execute complex workflows. To meet this moment, we are excited to open the Gemini Enterprise Agent Ready (GEAR) learning program to everyone. As a new specialized pathway within the Google Developer Program, GEAR empowers developers and pros to build …

AI reads brain MRIs in seconds and flags emergencies

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining which cases need urgent care. Trained on hundreds of thousands of real-world scans along with patient histories, the model achieved accuracy as high as 97.5% …