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d Loss for their new iPhone Duo. AppleCare One Individual, where offered, provides the same benefits as AppleCare+ with Theft and Loss, at the same monthly price — but extends coverage to two more devices. Customers in the U.S. can also choose AppleCare One Family to cover every eligible Apple product across their Family Sharing group, with new purchases, upgrades, and devices the family already owns covered automatically at no additional cost.11 Learn more at apple.com/applecare or in Settings

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tery that’s always outputting perfect quality power,” Cooper said. “In an oversimplified way, it smashes together BESS” — the industry term of art for grid-scale battery energy storage systems — “and UPS into a single asset.” ON.Energy isn’t the only company building batteries for this purpose, said Shahil Shah, chief engineer at the National Laboratory of the Rockies, formerly known as the National Renewable Energy Laboratory. Shah is in charge of the grid simulator lab that tested the AI UPS s

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le exploring how difficult, verifiable security problems can help evaluate and improve future models. Founders take Cohere leadership roles within newly-formed Cohere Cyber, with Prague set for expansion AISLE’s team is joining Cohere, with its three founders taking leadership roles spanning cybersecurity, corporate security, AI security research and frontier model development. Ondrej Vlcek will become Senior Vice President, Cohere Cyber, and will lead the newly-established global cybersecurity

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eviously passing metric regresses. This prevents developers from accidentally trading a critical capability for a minor edge-case improvement. Shared dashboards and centralized storage: Configure your eval processes to export run artifacts—including raw trace JSONL, prompt hashes, model versions, latency profiles, and scorecard summaries—into a central data warehouse like BigQuery or Cloud Storage. Publishing these metrics to a shared team dashboard gives everyone visibility into accuracy, laten

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practice: finance (financial advisor, small-business loan processor), evaluation (LLM auditor), document and knowledge pipelines (high-volume document analyzer, multiformat hybrid RAG), content and brand (brand-aligned presentations, brand-search optimization, on-brand genmedia), retail (product search, virtual try-on), and framework examples (agent-skills tutorial, staged UI widgets). Java, Go, TypeScript, and Kotlin each carry smaller sets. Every entry in contrib/ is a worked example of how a

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service where engineers implement OAuth 2.0 and cryptographic security controls like DPoP to protect API integrations. Separately, Google Workspace Context-Aware Access (CAA) leverages DPoP to secure enterprise AI workloads on the Gemini Enterprise Agent Platform by cryptographically validating agent identities at the Agent Gateway. Google's OAuth Platform supports DPoP binding specifically for refresh tokens. This design choice reflects a pragmatic engineering tradeoff: by sender-constraining

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and gave them no human hints. GPT-6-Astra, running in OpenAI's Codex coding environment, came out on top. It found the right answer for 49 of 50 problems, or 98 percent, at an average cost of under $3 per problem and just under $116 for the whole benchmark. The benchmark tests routine research work, not grand challenges The collection deliberately leaves out major open questions and focuses on what the authors call "turn-the-crank" problems, where researchers apply known methods to a slightly m

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cap to 50 and equipment cap to 55. GeForce NOW offers Enshrouded 1.0 ready to play in the cloud at launch across supported devices. Skip the 60GB local install to save precious storage space, then step into the Shroud without waiting for downloads or needing to make room for the update. Let the Bolts Fly Warhammer 40,000: Boltgun 2 is now streaming on GeForce NOW. The brutal, fast-paced sequel to the retro first-person shooter brings more enemies, more weapons and new ways to purge. Picking up d

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2016. It ranks each segment by its absolute and relative revenue impact, revealing that weekday midday hours drove the largest gain while the weekday evening rush was the biggest drag. Because these functions use tailored machine learning methods, they enable Genie to answer questions a general-purpose LLM cannot reliably handle on its own. Industry-leading quality These functions all deliver high-quality predictions backed by production-grade ML models. Because Databricks maintains those models

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uired. What information leaves our environment? Identify every external dependency. Follow the data through the entire workflow, including document processing, model inference, storage, logs, integrations, telemetry, and support access. How will recommendations be validated? Require traceability of supporting source material and associated citations, along with human-in-the-loop evaluations by subject matter experts (SMEs). What happens after the pilot? Establish a licensing agreement that provi

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1974 Log Windows sandbox availability and backend selection @iceweasel-oai 52034 Preserve agent state when unloading idle multi-agent v2 children @jif-oai 52040 Add regression coverage for cancelled agent reloads @jif-oai 52048 Cover instant interruption in steered-input persistence tests @jif-oai 52061 Run Guardian conversation classifiers concurrently and preserve action order @felixxia-oai 52062 Add scenario coverage for worker context across idle eviction @jif-oai 52065 Require assessment te

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searchers employed IRIS to identify signals needed to create a cell type critical for lung development, the model predicted that activating a specific signaling pathway would encourage lung-specific development. Experiments in mouse embryos confirmed the model’s prediction. By identifying the precise combinations of signals that drive lung cell development, they can more reliably generate accurate, lab-grown models of lung tissue. “In these ways, IRIS is helping us decode the language cells use

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personalized conversational experiences grounded in organizational data and content. This enables NVIDIA to tailor interactions on their website based on customer needs, while leveraging Nemotron to deliver fast, high-quality responses at scale. Sparking Creativity, to the MAX Get ready for what’s next — with three days of creative skill-building, visionary keynotes and valuable connections at Adobe MAX, running Nov. 10-12. Adobe and NVIDIA will showcase the latest advancements for creators alon

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tprint, with the ambition to achieve net-zero greenhouse gas emissions by 2040. In 2025, Volvo Cars sold over 710 thousand cars, with an electrified share of 46%. Volvo Cars on average employed 42,600 full-time employees. Volvo Cars' head office, product development, marketing and administration functions are mainly located in Gothenburg, Sweden. Volvo Cars' production plants are located in Gothenburg, Ghent (Belgium), South Carolina (US), Chengdu, Daqing and Taizhou (China). The company also ha

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We benchmarked Lakehouse//RT against a traditional cloud data warehouse across a suite of spatial queries using SpatialBench. By comparison, Lakehouse//RT delivers 3X faster on average, and up to 20X faster across the tested queries. Under heavy load, the performance differences are even more significant. At 50 concurrent users, Lakehouse//RT delivers up to 38X on the queries where the traditional warehouse could keep up. Try it for yourself: Follow the SpatialBench documentation to generate the

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r it landed, cross-platform correlation was limited because data lived in different places and shapes, and SIEM pipelines were not keeping pace. The team needed a way to coalesce fragmented telemetry into one place and make sense of it, while maintaining flexibility and avoiding vendor lock-in. The solution: Open schema on the security lakehouse Atlassian's answer was to standardize everything on the Open Cybersecurity Schema Framework (OCSF) and build the lakehouse on Databricks. OCSF won becau

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mber of clearly defined categories (e.g., data about customers, attorney-client privileged information, or information about our model architectures), Anthropic employees are encouraged to share information with them just as they would with a fellow employee working on alignment risk.1 METR will publish its analysis of our risk levels, incidents, or practices. Anthropic can’t veto publication, but we can require them to redact information if it falls into narrow, predefined categories like the o

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s of files without breaking tasks into pieces. Beyond coding, it searches the web (including multimodal browsing), spawns and coordinates subagents for decomposable tasks, and leverages computer use capabilities unified across desktop, mobile, and browser. It generates separate commentary before each action, so developers know what the agent is doing and why. The model’s 1.8B perception encoder natively processes interleaved text, images, video frames, and audio without separate pipelines per mo

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gravity provides an agentic science workbench that empowers biologists to discover, structurally evaluate, and prioritize promising targets quickly, compressing what used to be a fragmented search over multiple databases into a single session. It also helps researchers scan through millions of previously uncharacterized proteins in the UniProt database using ProtNLM, a model that predicts biological function from amino acid sequences. This technical walkthrough shows how biologists used Google A

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batches example. Initial training benchmarks Our baseline training of the model over the complete dataset takes 7 hours and 44 minutes and during the training the GPU shows 98% average utilization. The result is 9,396 tok/s training. This GPU utilization looks high, but as mentioned earlier that number is misleading. The standard GPU utilization metric only counts the percentage of the time the GPU was doing anything, so this does not tell us how well the model was using the GPU while it was act

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