This is a guest post co-written with Vitaly Omelchenko from the TReNDS Center at Georgia State University. At the Center for Translational Research in Neuroimaging and Data Science (TReNDS) , a joint …
AI Research Dispatch
AI research dispatch tracking model releases, lab updates, benchmarks, safety work, and academic papers with links to primary or source materials and context.
At a glance Today’s AI agents don’t remember past interactions. They must repeatedly be fed relevant information or retrieve it from external sources, which becomes less efficient as they handle …
Prior authorization is the approval process health plans require before covering certain medical services or medications. It remains one of the most manual processes in healthcare, not because the …
At a glance AI agents often fail because their instructions, or skills, are manually modified with no guarantee of improvement. SkillOpt turns skill editing into a training process, making agent …
At a glance Polished charts from simple specs . Flint allows AI agents to reliably generate expressive, visually polished charts from simple, human-editable specifications. Semantic types guide …
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Aurora 1.5: Extending open foundation models for weather and Earth-system applications
At a glance Aurora 1.5 is a major extension of Microsoft’s Aurora Earth System foundation model that adds 22 more weather variables relevant to energy, agriculture, transport, and climate risk, along …
How Rust, Lean, Aeneas, and AI agents are helping scale formal verification for production cryptographic algorithms At a glance SymCrypt develops new verified cryptography using Rust, Aeneas, and Lean …
At a glance Self-supervised. EvoLib enables large language models to learn from their own experience during inference, without requiring ground-truth labels or external feedback. From experience to …
Scaling fidelity over sheer count, targeting the capabilities agents actually lack, and evolving with the models they train. At a glance We built twelve training worlds for computer-use agents: ten …
At a glance Orchard is an open-source framework for scalable and cost-effective agentic AI research, built around Orchard Env, a reusable environment service for training and evaluating agents across …
Breadcrumb Innovation & AI Models & research Gemini Models Introducing computer use in Gemini 3.5 Flash Jun 24, 2026 · Share x.com Facebook LinkedIn …
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MIT in the media: Exploring how curiosity-driven science is an essential ingredient in America’s success
Over the past 80 years, America’s bold, sustained investment in scientific research, and the discoveries, ideas and innovations that flowed from it made America a world leader. The nation’s scientific …
Imagine working at a warehouse or office sometime in the near future, and you’re asked to help a new trainee learn the basics of their job. The catch: It’s a robot. To teach them, you might want to …
Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools to tackle complicated tasks, like analyzing a video and answering …
At the recent AI and Society Forum at MIT , experts from across the Institute discussed the potential benefits and dangers of technological innovation on labor, the nature of work, civil discourse, …
David Autor, the Daniel (1972) and Gail Rubinfeld Professor in the MIT Department of Economics, has been named head of the Department of Economics, effective July 1. “David is a world-class labor …
News Highlights: NVIDIA technology runs 81% of the TOP500 and 90% of the systems new to the list. 26 systems on the TOP500 adopted the NVIDIA Grace CPU, up eight from the previous list. The top eight …
Telecom operators have seen remarkable returns from using generative AI to automate network management, customer care and back-office operations. Most of that impact has been task‑based: automation …
Building AI systems at scale is demanding, requiring low-latency inference, fast vector search, strong GPU price-performance and infrastructure that can grow without multiplying operational …
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 …
Summer savings are heating up. From the Steam Summer Sale to GeForce NOW membership discounts , this week’s GFN Thursday delivers double the deals and more ways to get the most value from cloud …
When a customer service agent autonomously queries order databases, retrieves return policies, and synthesizes answers, it needs governed access to multiple data sources across your organization. …
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Build self-service AWS Health analytics to find actionable health insights with AI agents powered by Amazon Bedrock
On a typical Monday morning, an enterprise operations team receives multiple AWS Health notifications about Amazon Linux 2 end-of-life, RDS version deprecations, and EC2 instance retirements across …
As display technologies advance to higher resolutions, many organizations face a common challenge: their existing video libraries contain lower-resolution content that appears pixelated or blurry on …
The opinions expressed in this post are the authors’ views and not those of Cisco. Enterprise architectures have long been centered on REST APIs and microservices. These systems are stable, …