Olympic figure skating looks effortless. Athletes sail across the ice, then soar into the air, spinning like a top, before landing on a single blade just 4-5 millimeters wide. To help figure skaters …
AI Research Dispatch
Updates from labs, pre-print servers, and academic AI research groups.
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New J-PAL research and policy initiative to test and scale AI innovations to fight poverty
The Abdul Latif Jameel Poverty Action Lab (J-PAL) at MIT has awarded funding to eight new research studies to understand how artificial intelligence innovations can be used in the fight against …
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Mercedes-Benz Unveils New S-Class Built on NVIDIA DRIVE AV, Which Enables an L4-Ready Architecture
Mercedes-Benz is marking 140 years of automotive innovation with a new S-Class built for the AI era, bringing together automotive safety and NVIDIA’s advanced autonomous driving platform to enable a …
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Nemotron Labs: How AI Agents Are Turning Documents Into Real-Time Business Intelligence
Editor’s note: This post is part of the Nemotron Labs blog series, which explores how the latest open models, datasets and training techniques help businesses build specialized AI systems and …
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Everything Will Be Represented in a Virtual Twin, NVIDIA CEO Jensen Huang Says at 3DEXPERIENCE World
At 3DEXPERIENCE World in Houston, NVIDIA founder and CEO Jensen Huang and Dassault Systèmes CEO Pascal Daloz laid out a blueprint for industrial AI rooted in physics-based “world models” — systems …
The GeForce NOW sixth-anniversary festivities roll on this February, continuing a monthlong celebration of NVIDIA’s cloud gaming service. This week brings even more reasons to join the party, as …
Break out the cake and green sprinkles — GeForce NOW is turning six. Since launch, members have streamed over 1 billion hours, and the party’s just getting started. Throughout February, members can …
At leading institutions across the globe, the NVIDIA DGX Spark desktop supercomputer is bringing data‑center‑class AI to lab benches, faculty offices and students’ systems. There’s even a DGX Spark …
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Leading Inference Providers Cut AI Costs by up to 10x With Open Source Models on NVIDIA Blackwell
A diagnostic insight in healthcare. A character’s dialogue in an interactive game. An autonomous resolution from a customer service agent. Each of these AI-powered interactions is built on the same …
Iberdrola , one of the world’s largest utility companies, has embraced cutting-edge AI technology to revolutionize its IT operations in ServiceNow . By using different agentic architectures, Iberdrola …
Skip to content Code, Compute and Connection: Inside the Inaugural NVIDIA AI Day São Paulo Editor’s note: This post is part of a blog series highlighting NVIDIA AI Days across the globe. The …
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How Amazon uses Amazon Nova models to automate operational readiness testing for new fulfillment centers
Amazon is a global ecommerce and technology company that operates a vast network of fulfillment centers to store, process, and ship products to customers worldwide. The Amazon Global Engineering …
If you’re managing Internet of Things (IoT) devices at scale, alert fatigue is probably undermining your system’s effectiveness. This post shows you how to implement intelligent notification filtering …
This is a guest post by Suyeol Yun, Jaeseon Ha, Subeen Pang and Jacob (Chanyeol) Choi at LinqAlpha, in partnership with AWS. LinqAlpha is a Boston-based multi-agent AI system built specifically for …
In production generative AI applications, we encounter a series of errors from time to time, and the most common ones are requests failing with 429 ThrottlingException and 503 …
Today we’re excited to announce that the NVIDIA Nemotron 3 Nano 30B model with 3B active parameters is now generally available in the Amazon SageMaker JumpStart model catalog. You can accelerate …
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Build long-running MCP servers on Amazon Bedrock AgentCore with Strands Agents integration
AI agents are rapidly evolving from mere chat interfaces into sophisticated autonomous workers that handle complex, time-intensive tasks. As organizations deploy agents to train machine learning (ML) …
Organizations face significant challenges in making their recruitment processes more efficient while maintaining fair hiring practices. By using AI to transform their recruitment and talent …
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GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI
The convergence of digital transformation and the GenAI revolution creates an unprecedented opportunity for accelerating progress in precision health. Precision immunotherapy is a poster child for …
Anyone who uses AI systems knows the frustration: a prompt is given, the response misses the mark, and the cycle repeats. This trial-and-error loop can feel unpredictable and discouraging. To address …
AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step …
At a glance Today’s multimodal AI systems can give answers that sound right but may not be grounded in what they actually observe over time, leading to unpredictable errors and safety risks in …
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UniRG: Scaling medical imaging report generation with multimodal reinforcement learning
At a glance AI-driven medical image report generation can help medical providers become more efficient and productive. Current models are difficult to train because reporting practices vary widely …
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Paza: Introducing automatic speech recognition benchmarks and models for low resource languages
At a glance Microsoft Research releases PazaBench and Paza automatic speech recognition models , advancing speech technology for low resource languages. Human-centered pipeline for low-resource …