Reno News

astral-sh/uv

An extremely fast Python package and project manager, written in Rust.

vercel/next.js

The React Framework

kubernetes/kubernetes

Production-Grade Container Scheduling and Management

nodejs/node

Node.js JavaScript runtime ✨🐢🚀✨

Iran's Internet is partially restored, Cloudflare Radar data shows

Cloudflare Radar data confirms early indications of a partial Internet restoration in Iran, nearly three months after the shutdown began. Traffic spikes and DNS queries have risen, but network activity is currently just 40% of pre-shutdown levels.

ITBench-AA: Frontier Models Score Below 50% on the First Benchmark for Agentic Enterprise IT Tasks — by Artificial Analysis and IBM

SoC PLANNER: A New Generation of SoC Design Exploration Solution Managing Cost-effectiveness and Sustainability

With over a trillion chips manufactured every year and application requirements evolving faster than ever (across automotive, HPC, and AI), the pressure on SoC design teams has never been higher with design space keeps growing and schedules keep shrinking. Indeed, for a complex SoC project, the number of possible co...

Engineering the Next Era of Semiconductor Innovation

The semiconductor industry is entering a transformative new phase, driven by the convergence of artificial intelligence, cloud computing, and increasingly complex chip architectures. That message took center stage during the keynote talks at the Siemens EDA User2User 2026 North America conference. Executives from Si...

Intelligent, Configurable I/O: Edge Autonomy, Thermal Efficiency, and Higher Uptime in Industrial Control Systems

This paper explores how configurable and intelligent I/O technologies are transforming industrial control systems by enabling greater flexibility, improved thermal performance, and higher system uptime. Traditional fixed-function I/O architectures, while effective in stable environments, create inefficiencies throug...

SRAM compilers targeting automotive SoCs on advanced nodes

Processor IP garners the most attention in SoC design, but it’s not the only IP category begging for smart choices. Every processor core needs to be fed with data; however, frequent off-chip DRAM access incurs a large clock-cycle penalty each time. Architects now want SRAM blocks distributed throughout an SoC, putti...

Startup Boosts Scale-Up to 1000+ GPUs in a Single Domain

Delos Data wants to enable practical scale-up domains of 1000+ GPUs in flexible topology designs. The post Startup Boosts Scale-Up to 1000+ GPUs in a Single Domain appeared first on EE Times .

fastify/fastify

Fast and low overhead web framework, for Node.js

Necessity is the Mother of Invention: Huawei Replaces Moore’s Law With Her’s Law

We now know what China’s been working on to counter U.S. sanctions on EUV technology. The post Necessity is the Mother of Invention: Huawei Replaces Moore’s Law With Her’s Law appeared first on EE Times .

v16.3.0-canary.30

Core Changes Revert "Revert "refactor: write pages router export files directly to server/pages/"": #93409 Misc Changes Turbopack: make availablemodules an OperationVc and simplify merged module bookkeeping: #94055 chore: release @next/rspack-core 1.0.3: #94116 Improve notFound recovery in error pathway: #94037 Turb...

Cloudflare Images - Transformation flows in Images

Flows are automated rules that pair conditions (such as file extension, URL path, or query parameter) with parameters. Set up a flow to automatically apply image optimization to matching requests on your zone without writing code or changing URLs. There are two modes for transformation flows: Provider flows — Migrat...

Shipping a Trillion Parameters With a Hub Bucket: Delta Weight Sync in TRL

Reachy Mini goes fully local

Google’s Antigravity Signals a Shift Beyond the IDE

The most important takeaway everyone missed at the 2026 Google I/O Conference. The post Google’s Antigravity Signals a Shift Beyond the IDE appeared first on EE Times .

Algorithmic Monocultures in Hiring

Many employers screen job applicants with algorithms built by the same few algorithm vendors. We hypothesize that algorithmic monoculture leads to the same individuals and members of the same racial groups facing rejection. We acquire and analyze a novel dataset of 3 million applicants submitting 4 million applicati...

MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation

Large language model (LLM) agents rely on reusable skills to solve complex tasks. However, existing skill creation approaches treat skills as isolated and static artifacts, limiting their reusability, reliability, and long-term improvement. We propose MUSE-Autoskill Agent (Memory-Utilizing Skill Evolution), a skill-...

LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding

Vision-language models (VLMs) commonly formulate visual grounding and detection as a coordinate-token generation problem, serializing each 2D box into multiple 1D tokens that are learned and decoded largely independently. This token-by-token decoding mismatches the coupled structure of box geometry and creates a pra...

Natural Language Query to Configuration for Retrieval Agents

Modern retrieval agents expose many configuration choices -- LLM, retriever, number of documents, number of hops, and synthesis strategy -- each shaping both answer quality and serving cost. Today, these pipelines are typically hand-tuned once per workload, leaving substantial per-query optimization untapped. We for...

GENESIS: Harnessing AI Agents for Autonomous 6G RAN Synthesis, Research, and Testing

Cellular research and development (R&D) is throttled by six structural processes that each consume months of manual engineering work per iteration: (i) synthesizing new features from standards or research papers into production code; (ii) conformance and interoperability testing; (iii) hardening against field anomal...

MobileMoE: Scaling On-Device Mixture of Experts

Mixture-of-Experts (MoE) has become the de facto architecture for hundred-billion-parameter language models, yet its advantages at sub-billion scales for on-device deployment remain largely unexplored. To close this gap, we present MobileMoE, a family of on-device MoE language models with sub-billion active paramete...

Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases

Reinforcement Learning from Human Feedback (RLHF) is the standard method to align Large Language Models (LLMs) with human preferences. In this work, we introduce alignment tampering, a potential vulnerability where the LLM undergoing alignment influences the preference dataset, causing RLHF to amplify undesired beha...