When deploying an agent in production, ensuring it's effectively meeting business requirements at scale is a common challenge. Teams often rely on surface signals such as completion rates and latency, but these do not provide insight into whether the agent is finishing tasks, staying on topic, leaking PII, or accurately following intended steps. This issue is addressed through agent evaluation....
NVIDIA is strengthening its commitment to the open source Kubernetes system, which manages applications across thousands of AI factories, by contributing new tools to enhance security and scaling at the KubeCon + CloudNativeCon conference. NVIDIA is contributing NVIDIA OpenShell, an open source runtime for securing and governing autonomous agents, to the Cloud Native Computing Foundation (CNCF)...
Trovata is an AI-driven platform for corporate cash and liquidity management, offering direct access to over 10,000 banks through a single system. Treasury teams face challenges with fragmented banking data, manual reporting, and outdated Treasury Management Systems (TMS). Trovata's innovative solution addresses these issues by introducing autonomous agents that act on behalf of treasury teams,...
In this summary, we highlight Amazon Bedrock AgentCore's new feature, the Web Search API. This API enables AI agents to access current web results through a single API call, using their existing AWS credentials. The results include titles, URLs, publication dates, and extracts relevant to the query, while users can also specify domain restrictions and publication date ranges. The Web Search API...
An internal AI assistant in a banking operations context helps an employee with two different types of information requests. For a checklist lookup, the assistant uses single-shot Retrieval Augmented Generation (RAG) from Amazon Bedrock Managed Knowledge Base for a quick and single answer. For a cross-policy comparison between sole proprietorships, LLCs, and partnerships, the assistant uses age...
Anthropic announces the availability of Claude Fable 5.2 and Claude Mythos 5.2 on Amazon Bedrock and AWS. Fable 5.2 is Anthropic's most advanced model for technical work, handling ambiguous, multi-step problems in coding, math, and science. Mythos 5.2 is available for advanced cyber security and life sciences work through Anthropic's verification programs. Fable 5.2 excels at long-running agent...
MIT researchers have developed a new learning platform for robots that allows them to understand the larger meaning behind human language commands. The platform, called FLEX, enables robots to draw generalizations from natural language instructions and adapt their motion planning accordingly. Using a large language model, the robot can reason about context and avoid potential hazards without ex...
NVIDIA's Nemotron 3.5 Super VL model, a 120B-parameter vision-language model with a hybrid language backbone and a vision encoder, is now accessible in Amazon SageMaker JumpStart. The model, which accepts images, video, and text as input and generates text, supports context lengths of up to 1 million tokens and includes a built-in Multi-Token Prediction (MTP) head. NVIDIA designed Super VL for ...
CrossnoKaye's industrial AI solution, ATLAS, connects and integrates live plant data and AI reasoning with closed-loop control of equipment in food and beverage plants, industrial refrigeration facilities, quarries, and manufacturing sites. The platform, running on Amazon Web Services (AWS), manages facility models, base control software, historians, and optimization applications in one place. ...
When deploying machine learning models on Amazon SageMaker GPU endpoints, the smallest available GPU unit is a whole accelerator. This limitation results in increased costs as each deployment requires a full GPU, limiting the number of models that can be hosted on an instance and potentially leading to underutilization or overpaying for capabilities. Amazon SageMaker Inference now supports GPU ...
A new method for discovering new molecules with specific properties, developed at MIT, utilizes artificial intelligence and machine learning to provide initial guidance on which compounds to synthesize and test. The approach, called CheMeleon, was built using ChemProp and has already found success in the pharmaceutical industry, outperforming other existing methods in areas where data on a cert...
MIT researchers, led by Christopher Voigt from the Department of Biological Engineering, will head a $53 million project funded by US Advanced Research Projects Agency for Health (ARPA-H) to develop next-generation weed killers. Current herbicides, including glyphosate and atrazine, are vital for US agriculture but pose health concerns and risks due to resistance mutations. The research team, w...
At the Conference on Robot Learning in Austin, Texas, researchers are advancing robot capabilities beyond locomotion to manipulation, using simulation to teach finer tasks like aligning gears and assembling components. NVIDIA is introducing open robotics technologies including world action models, simulation tools, benchmarks, and agentic workflows. Two NVIDIA papers, GRAIL and RoboTTT, are fin...
Researchers from MIT, UBC, and other institutions have developed a deep-learning system called WorldParticle that allows scientists and engineers to model various physical phenomena using a single unified artificial intelligence architecture. The system represents every material as tiny particles and predicts where they will move one step at a time, adapting to materials, forces, and environmen...
In this text, the author discusses the challenges of defining primitives in a system where agents take actions instead of just answering questions. The author mentions the repetition of ideas under different names, such as an actor, signal, packaged procedure, and memory. The author introduces a taxonomy of primitives based on the questions "When?", "What?", "Who?", and "How?". Triggers are dis...