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...
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...
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...
In the context of regression analysis, a simple decision tree model may overfit training data, achieving high accuracy on it but poor performance on new, unseen data. To address this issue, Leo Breiman proposed bagging tree regression, or bootstrap aggregation, in 1994. This method creates an ensemble of multiple decision trees, each trained on a different subset of the training data using rand...
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...
CrossnoKaye's industrial AI solution, ATLAS, connects live plant data and AI reasoning to closed-loop control of heavy industry equipment on Amazon Web Services (AWS). ATLAS works with existing programmable logic controllers (PLCs) and distributed control systems (DCS) without requiring hardware replacement. It also uses Amazon Bedrock AgentCore to allow its agentic intelligence system, AURA, t...
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 ...
When deploying machine learning models on Amazon SageMaker Inference using GPUs, the smallest available unit is a whole accelerator. This constraint limits the number of models you can host on an instance, and requires a full GPU on an older instance for models with less resource requirements, or a newer one with excess capacity. Amazon SageMaker Inference now offers GPU partitioning using NVID...
In this article, the authors discuss their experience building AWS Quick, a system that evolved from simple question answering to taking actions, and the challenges they encountered due to a lack of shared vocabulary for primitives in agentic work. They introduce a taxonomy of agentic work based on the questions: When, What, Who, and How. Triggers, the activation mechanism for work, carry instr...
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...
MoE routing is a crucial component of Mixture-of-Experts (MoE) models, determining which experts process each token. This summary will cover seven production routing strategies, ranging from Mixtral with eight experts to DeepSeek-V4-Pro with 384. Performance variations include Sigmoid scoring and expert load balancing, with impacts on serving cost and perplexity. Key differences include softmax...
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...
OpenAI's latest update to its image generation and editing model, GPT-Image-2.6, is now available on ChatGPT, Codex, and the API. The new models, Flare and Sunburst, offer faster image generation, with Flare generating images as quickly as 6 seconds at low quality. The update introduces GIF output, SVG export, markup-guided edits, and a new complexity parameter. ChatGPT users can create and edi...
Chris Alexiuk, a Toronto-based deep learning engineer at NVIDIA, is an advocate for open source AI and openly shares his knowledge through platforms like YouTube and LinkedIn. He believes that transparency is essential for the democratization of intelligence and has a strong affinity for NVIDIA's open source, multimodal models, Nemotron. Alexiuk refers to himself as the "No. 1 Nemotron Fan" and...