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...
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...
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...
In the world of Mix-of-Experts (MoE) models, a key component is the routing strategy that determines which experts process each token. This summary outlines seven production routing strategies and their respective models. Size and runs for each range from Mixtral with 8 experts up to DeepSeek-V4-Pro with 384, engaging 1 to 8 experts per token. The performance impact includes the use of strategi...
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. ...
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...
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...
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...
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...
MIT researchers have developed a new memory system for robots that can identify and correct incorrect labels of objects in their memory. The system, called UQ-DAAAM, uses multiple descriptions of the same object from different viewpoints to quantify the robot's uncertainty and improve the accuracy of its descriptions. UQ-DAAAM compares these descriptions to reduce uncertainty and create a more ...
Amazon's A+ Content is a rich media widget on product detail pages. Brands use text, images, and video to communicate unique product and brand value, leading to sales boost of 8-20%. However, content quality can vary greatly due to the creative freedom allowed. This post introduces a new approach using Vision-Language Models (VLMs) to evaluate and improve A+ Content holistically, providing acti...
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...
The author of this text expresses their enjoyment of writing code daily and shares their observation that engineering colleagues who transitioned from coding to management roles often lost their coding abilities quickly. They present a novel approach to combine quadratic regression (QR) and gradient boosting regression (GBR) by encapsulating these models in a container class. After independent ...