Pathwise Information Certificates for Decentralized Adaptive Sensing
Pathwise Rényi-Chernoff information certificates enable decentralized multi-agent sensing with nonasymptotic stopping rules for adaptive measurement policies.
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Pathwise Rényi-Chernoff information certificates enable decentralized multi-agent sensing with nonasymptotic stopping rules for adaptive measurement policies.
ORDERS configuration combines norm-rank aggregation with adapters and perturbations for personalized federated learning, empirically isolating server-weighting effects.
Open-MMUnlearning framework standardizes machine unlearning for multimodal LLMs with unified evaluation protocols and robustness testing.
MIRA agent refines text-to-music generation via per-request rubric evaluation covering instrumentation, structure, and mood alignment.
Formalizes multi-signal criteria for governing autonomy transitions in human-AI collaboration across adaptive workflows, addressing deskilling and trust.
Measurement-efficient differentiable quantum architecture search reduces hardware measurement costs for variational quantum optimization circuits.
AutoAdapt framework discovers latent domains and trains LoRA adapters in parallel for low-cost domain extension without retraining.
A preview of OpenAI’s College Planner. | Image: OpenAI OpenAI is bringing new tools to ChatGPT for Teens, a mode for teens introduced in August with safeguards and break reminders, to help users with the college application process. "College Planner brings together application requirements, deadlines, tasks, and financial-aid steps for schools on a student's list in one plan," OpenAI says. "Students applying to several colleges can return to it to update their progress, use the timeline to plan ahead and see what's left to do. They can also ask ChatGPT questions along the way, from what a req...
AI factories are some of the most complex operations in the world, combining GPUs, CPUs, switches, DPUs, and SuperNICs alongside schedulers, orchestration... AI factories are some of the most complex operations in the world, combining GPUs, CPUs, switches, DPUs, and SuperNICs alongside schedulers, orchestration services, security controls, and a rapidly changing software stack. Deploying this infrastructure effectively is a challenge. But so is being able to validate that the infrastructure, software, and policies work together for the workloads the… Source
Supply chain problems are expanding across more SKUs, lanes, and constraints than ever before, while energy grids are balancing more distributed sources in real... Supply chain problems are expanding across more SKUs, lanes, and constraints than ever before, while energy grids are balancing more distributed sources in real time. To meet these challenges, teams need to evaluate larger models and more uncertainty within a practical planning window. NVIDIA cuOpt GPU-accelerated decision optimization can already deliver speedups of more than 10x over CPU… Source
After launching nearly a month ago and spending several weeks as the top free app in Apple's App Store, the latest update to Meta's Muse iOS app introduces native support for the iPad. A Mac version of Meta's agentic AI tool (designed to compete with OpenClaw, ChatGPT's Dots, and Grok Bot) was released about a week after the original mobile version debuted expanding its usefulness to desktop tasks like organizing files. The new iPad version should function similar to Muse on iPhones, but better take advantage of the extra screen real estate and iPadOS' better multitasking capabilities. The ne...
The financing includes an $8M seed round co-led by Sequoia Capital and First Round Capital, and a $30 million Series A led by Hummingbird Ventures.
Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound pipelines can... Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound pipelines can process it to support timely decisions. The computational bottleneck is rarely one slow kernel. It’s the whole path from data in the sensor to a decision: read the raw data, match point-spread functions or detector responses, subtract or reduce… Source
Writing advice on software blogging anti-patterns: avoid meandering intros, misjudge reader knowledge, excessive formality.
The “father of the iPod” says the first generation of AI gadgets failed to solve real problems — and the next wave will need to earn consumers’ trust.
Google DeepMind, Meta, and AI drug discovery startup Isomorphic Labs are jointly investing $300 million into Biohub, the nonprofit biomedical research organization founded by Mark Zuckerberg and his wife, Priscilla Chan, as reported by Reuters. The funding is part of a $1.8 billion initiative to build AI datasets that could allow researchers to "ask, predict, and answer biological questions digitally," helping find new ways to prevent and manage diseases. Founded in 2016, Biohub aims to combat diseases through the creation of a "virtual cell" that researchers can use to carry out simulations....
Google Labs is working on a new AI-powered game-creation platform called Playground for users to build browser-based games using simple text prompts.
OpenAI’s Alexander Embiricos is coming to the AI Stage at TechCrunch Disrupt 2026, just days after the launch of Dots. Join this conversation by registering for your pass. Get you pass now to save up to $100 and get a second at 50% off.
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Mistral says Le Chonk can rival top closed models while remaining open-weight.
Kubernetes co-creators McLuckie and Beda develop cloud-native agent harness to scale autonomous systems beyond desktop environments.
The new SynthID website can now identify AI content from Google, OpenAI, and more.
Google on Tuesday launched a new site that lets anyone verify whether a piece of media, be it an image, a video, or an audio clip, is generated using AI.
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Physics-informed neural cellular automata learn traffic flow dynamics from data while preserving physical constraints.
AgentTime benchmark evaluates whether AI agents can estimate, predict, and control their own runtime across 222 tasks.
DRIVE uses diversity-driven RL fine-tuning to improve vision-language-action model generalization under distribution shift.
Gradient-based optimization reduces holographic superconductor model inversion time from days to hours.