08:00
Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.
Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.
Today's news
AI NEWS × FOXAIFind your next step
Explore AI tools From the latest news to tools that work for you.
Discover AI tools
Swipe to explore →O
Open DesignDesign & 3D
MemoAIMusic & audio
EvoMapAgents & automation
AI ShortWriting & content
JAXModels & infrastructure
KiroCoding & development
FinBusiness & support
ElicitKnowledge & research
RowsData & analytics
妙播Marketing & commerce
Open DesignDesign & 3DOpenDesign is an open-source design workspace that can connect to local programming agents, use built-in model keys, or leverage cloud-based models, enabling the creation and editing of prototypes, web pages, presentations, and graphics within a design system; local software is free, while model services incur fees.
分类推荐榜首MMemoAIMusic & audioMemoAI is an AI-powered audio-to-text tool that supports localized processing, eliminating the need to upload data and ensuring privacy and security. It can efficiently transcribe YouTube videos, podcasts, and local audio/video files (such as MP4, MP3, AAC, M4A, etc.) into text, while offering core features like multilingual translation, speaker diarization, real-time subtitles, and floating notes—making it ideal for meeting minutes, interview transcription, content learning, and more.
分类推荐榜首EEvoMapAgents & automationEvoMap is an infrastructure designed for the reuse of AI agent experiences. It organizes reusable strategies and repair assets with validation records via the GEP protocol, offering market- and quality-based ranking to help different agents discover, evaluate, and inherit existing capabilities.
分类推荐榜首AAI ShortWriting & contentAIS ALERT MANAGEMENT AND SHARED PLATFORM, QUICK COMMAND FOR MULTIPLE SCENARIOS
分类推荐榜首JJAXModels & infrastructureJAX is a Python numerical computing library designed for accelerators, specifically tailored for high-performance array computations and large-scale machine learning. It efficiently executes the same code across multiple hardware backends, including CPUs, GPUs, and TPUs.
分类推荐榜首KKiroCoding & developmentKiro is an AI engineering tool for developers that organizes requirements into specifications, architectures, and tasks, generates code via agents, and supports the entire workflow—from planning to code review—through property-based testing, execution memory, and integration with development tools.
分类推荐榜首FFinBusiness & supportCLIENT-ORIENTED AI SMART BODY。
待评分 · 分类列表推荐EElicitKnowledge & researchElicit provides semantic search, research report generation, literature screening, and data extraction for scientific research. It enables traceable answers within source materials and organizes evidence through a literature library, research agents, and ongoing tracking workflows, making it ideal for advancing from initial problem exploration to systematic reviews.
待评分 · 分类列表推荐RRowsData & analyticsRows is a spreadsheet tool that combines AI analytics, data integration, and interactive reporting, enabling you to organize documents and business data using natural language, merge datasets, generate reports, and build computational models. The official website currently indicates that it has been integrated with Superhuman and provides a corresponding link to continue using the service.
待评分 · 分类列表推荐妙妙播Marketing & commerceTHE AI LIVE TELECOM SOLUTION FROM THE AD
待评分 · 分类列表推荐AI, as it happens
1406 published stories1406 storiesClear filters ×
2026-10-21
Follow the timeline08:00
NVIDIA launches SimReady Central: an open-source, simulation-ready 3D asset library for robotics and AI factories.
NVIDIA, in collaboration with Hugging Face, has launched SimReady Central, a free and open-source simulation-ready (SimReady) 3D asset library built on OpenUSD. The initial release includes over 2,000 validated industrial-grade assets, covering robot bodies, end-effectors, AI factory infrastructure, and more, enabling developers to rapidly build physics-based AI training environments and digital twin scenarios.
08:00
How AT&T is rethinking in-house legal work with OpenAI
AT&T is working with OpenAI to make legal knowledge easier to access. Learn how its LegalEdge team is rethinking intake and scaling legal judgment.
08:00
Broad access through consistent standards
How OpenAI works with distribution partners to uphold consistent safeguards, support responsible access, and clarify expectations in our Usage Policies.
08:00
Cloudflare links vulnerability discovery to defense with OpenAI
Cloudflare uses OpenAI Daybreak to investigate vulnerabilities and propose fixes for review. Its developers use Codex to build faster and improve code quality.
08:00
VocabX: Reduces the inference cost of domain-specific small language models by 77% through cost-weighted vocabulary specialization.
Dharma-AI has introduced the VocabX method, which reconfigures the vocabulary of language models for specific tasks—such as automated scoring of Portuguese essays—by optimizing for cost rather than word frequency. Without modifying the model architecture, parameters, or training pipeline, empirical results show a 77% reduction in inference costs, while the evaluation score (bench score) improved from 0.703 to 0.810.
08:00
TorchNeuron System-Level Performance Analysis (Part 1): End-to-End Profiling Based on the AWS Trainium Chip
This article is the first in a series of technical blog posts jointly published by Hugging Face and Amazon, systematically introducing how to use TorchNeuron on AWS Trainium AI accelerator chips for PyTorch model inference performance analysis. It covers the principles of Neuron backend integration, methods for configuring torch.profiler, the use of NeuronConfig and NeuronProfiler tools, and visualized tracing with Neuron Explorer. Additionally, using RMSNorm as an example, it compares the device‑time differences among three implementations: plain PyTorch, the built-in torch.rms_norm fusion, and torch.compile’s automatic fusion.
08:00
NVIDIA releases Kumo Forecast: a multivariate forecasting model that integrates pre-trained time-series representations, historical pattern retrieval, and interpretability.
NVIDIA has launched the open-source time-series forecasting model Kumo Forecast (formerly NV-Tesseract Forecasting), which is built on the MOMENT-1-large Transformer architecture. It supports both direct prediction and dual-path inference via Domain-Aware Representation and Retrieval (DARR), and includes a built-in interpretability framework that requires no modifications to the model structure.
08:00
Using thousands of AI agents to uncover new leads in biological data
See how OpenAI, PerturbAI, and Scripps Research used distributed AI agents to uncover promising research leads in data from millions of brain cells.
08:00
Anthropic, OpenAI, and Musk's Plans to Share AI Wealth: Who Would Benefit?
As AI threatens to reshape jobs and incomes, three of the industry's biggest names are exploring ways to share its growing wealth with the public.
08:00
Microduck open-source bipedal robot supports both simulation training and real-world deployment: NVIDIA Isaac Lab 3.0 enables a Sim-to-Real closed loop.
Pollen Robotics and Hugging Face have jointly unveiled Microduck, a low-cost, open-source bipedal robot, integrating NVIDIA Isaac Lab 3.0 and the Newton physics engine. It supports training walking policies in GPU-accelerated parallel simulations, with domain randomization and high-fidelity actuator modeling—including backlash, latency, and friction—enhancing robustness during simulation-to-real transfer. The resulting ONNX model can be directly deployed on the physical robot.
08:00
NVIDIA releases Kumo Relational: the first foundation model for structured data that outperforms supervised learning without any training.
NVIDIA has launched Kumo Relational, a pre-trained relational foundation model that can perform predictive tasks—such as churn prediction, fraud detection, and demand forecasting—directly on enterprise‑grade relational databases, without the need for task fine-tuning, feature engineering, or table flattening. In 41 benchmark tests spanning 15 databases, it outperformed supervised models like XGBoost across the board, and on the SAP SALT enterprise benchmark, its MRR metric surpassed AutoGluon by 8%. The model supports databases with up to 500 billion rows and enables zero‑code predictive queries via Predictive Query Language (PQL).
08:00
OpenAI models are coming to Google Cloud
OpenAI and Google Cloud are bringing frontier models and Codex workflows to Gemini’s Model Garden, available through Google Cloud Marketplace.
08:00
ChatGPT Ads expands to 26 new countries as over 100,000 advertisers have used the platform
From local businesses to global brands, more advertisers can now reach people as they explore, compare and decide what to buy in ChatGPT.
08:00
IBM releases the Granite Speech 5.0 series of speech models: supporting multilingual transcription, translation, and speaker attribution.
IBM has released three open-source speech models in the Granite Speech 5.0 series—granite-speech-5.0-2b (high-precision multilingual ASR/MT), granite-speech-5.0-470m-turboctc (ultra-fast edge-side multilingual transcription), and the updated granite-speech-4.1-2b-plus (enhanced multi-speaker conversational modeling)—all licensed under Apache 2.0 and compatible with mainstream inference frameworks.
08:00
Patch the Planet: global response coordination as agents uncover critical vulnerabilities
Patch the Planet connects security researchers, maintainers, and incident responders to help address critical vulnerabilities across open source.
00:42
AWS Bedrock has launched cross-region inference in the Canada region, supporting calls to the nominal GPT-5.6/GPT-6/GPT-6.1 models.
Amazon Web Services announced that Canadian customers can, via Amazon Bedrock, invoke models branded as OpenAI GPT-5.6, GPT-6, and GPT-6.1 in the ca-central-1 (Canada Central) and ca-west-1 (Canada West/Calgary) regions using cross-region inference (CRIS); the actual inference takes place in North American or global AWS commercial regions, while data remains at rest in the Canadian source region.
00:22
AWS Agent Registry officially released: supports runtime semantic discovery and dynamic orchestration of MCP servers and A2A agents.
On October 26, 2026, AWS announced the general availability of its Agent Registry service, a managed offering that leverages hybrid semantic-plus-keyword search to dynamically discover, instantiate, and execute approved Model Context Protocol (MCP) servers and Agent-to-Agent (A2A) agents at runtime, replacing hard-coded tool integrations and addressing bottlenecks in the large-scale orchestration of enterprise-grade AI agents.
00:05
How Three Java Champions Leverage GitHub Copilot to Boost Development Efficiency: Focusing on Human-AI Collaboration and Shared Responsibility
Vlad Mihalcea, Patrick Baumgartner, and Frank Delporte, three seasoned Java Champions, shared their experiences using GitHub Copilot in production environments and open-source projects, emphasizing human-led problem definition, context anchoring, iterative validation, and ultimate accountability—rather than relying on AI to automatically generate code.
00:00
Called to serve: Tech, research, and positive impact
Lab Director Chris White has worked on research challenges with real-world implications—from new approaches to wartime data analysis to tools for combating human trafficking. He talks to program manager Weishung Liu about the influences that led to the work and more. The post Called to serve: Tech, research, and positive impact appeared first on Microsoft Research.
Every update links back to its source.