Search and filter through extracted claims from AI researchers.
Showing 141-160 of 451 claims in topic "infrastructure"
Heron Power's technology can cut power losses in half in AI data centers
"Heron Power raised $140M to cut power losses in half"
"shrink massive oil-filled transformers by 100x"
Improved power infrastructure can unlock 35MW of extra compute for every gigawatt data center
"unlock 35MW of extra compute for every gigawatt data center"
"Ramp launched router.com - it picks the best model for your task automatically. They claim 40% lower cost for the same outputs."
GPT-5.6 is now available in Kiro
"GPT‑5.6 is now available in Kiro"
GPT-5.6 helps developers plan, build, review, and test software with better price-performance
"helping developers plan, build, review, and test software with better price-performance"
"Use the Admin plugin for ChatGPT Work and Codex to analyze workspace usage, manage members and permissions, adjust limits, and act on admin requests."
"A particular opportunity arises from emerging next-generation AI/ML hardware accelerator platforms, such as the 880,000-processor Cerebras Wafer-Scale Engine (WSE)."
"The first case study applies best-effort CPU-cluster multiprocessing to a multicellularity evolution model, which provides 92% scaling efficiency at 64 processes ($2.1\times$ speedup) and exhibits robust median quality of service, even under hardware anomalies."
"we argue that digital evolution is uniquely positioned to contribute in developing post-deterministic HPC paradigms."
"The second case study examines WSE-based simulations, demonstrating best-effort strategies to track spatiotemporal population history --- through sparse, asynchronous device-to-host sampling that tolerates hardware faults."
"OrbitALIF achieves competitive cloud removal quality while consuming only 0.287,mJ per inference on neuromorphic hardware, a 72.3 times (98.6%) energy reduction versus an equivalent artificial neural network (ANN)"
"OrbitALIF performs both onboard training and inference using a compact 2.30,M-parameter spiking neural network (SNN) backbone with an adaptive gated fusion module (AGFM) and a spectral-spatial hybrid attention module (SHAM), combined with a decentralized federated learning strategy that shares model weights via inter-satellite links"
"conventional cloud-removal pipelines that download cloudy images to ground stations for processing suffer from limited contact windows, constrained satellite-to-ground bandwidth, and high latency"
OpenAI has developed a custom inference chip called Jalapeño
"Jalapeño is a custom inference chip from OpenAI"
Jalapeño delivers faster and more power-efficient AI inference compared to existing solutions
"delivers faster, more power-efficient AI inference"
Jalapeño provides higher throughput and lower latency for modern AI models
"higher throughput and lower latency for modern models"
"advances across chips, compute, models, and products compound to deliver more useful intelligence at greater scale and lower cost"
GPT-5.6-Sol is now 20% cheaper with new pricing of $4/$24 per 1M input/output tokens
"GPT-5.6-Sol is now 20% cheaper in the API - $4/$24 for 1M input/output tokens."
Nvidia and SpaceX are planning to launch GPUs to space
"Nvidia and SpaceX are planning to launch GPUs to space."
Pipeline data may be stale or degraded.
Last synthesis: 2026-09-20. 8,951 pending.