MIT and Massachusetts will establish the Quantum Systems Laboratory (QSL) to advance quantum research and innovation. The QSL will be a cutting-edge facility supporting transformative quantum technologies in various practical domains.
Liquid AI released LFM2. 5-8B-A1B, a sparse MoE model for on-device tool calling. It improves reasoning and achieves impressive benchmark results over its predecessor.
GeForce NOW launches 007 First Light, offering members James Bond's origin story with a free Elite Outfit. Experience high-quality cloud gaming with new games and exclusive rewards, including Resident Evil Requiem demo.
Agent evaluation is enhanced by combining online signals with stable offline baselines. Amazon Bedrock AgentCore allows for versioned test fixtures, ensuring consistent and verifiable measurements for agent improvements. Versioned datasets provide ground truth, making evaluation scores meaningful in both developer desks and CI/CD pipelines.
Azercell Telecom collaborates with AWS to build Azerbaijani large language model (LLM) and chatbot, achieving significant optimizations and improvements. Framework on Amazon SageMaker AI delivers higher training throughput, lower memory usage, and doubled text capacity, offering insights for working with complex languages.
Robotics is evolving with NVIDIA Research showcasing simulation-to-real transfer for robots to adapt and operate reliably in dynamic environments. Innovations include multi-arm coordination with ScheduleStream and COMPASS policy framework for diverse robot embodiments, achieving significant improvements in success rates.
Machine learning models predict values like income from sex, age, state, and politics. Imputing missing data for predictions can lead to misleading results in machine learning.
Amazon SageMaker MLflow offers comprehensive ML experiment tracking and model management capabilities. Enterprises can securely integrate MLflow with existing systems using a Flask-based proxy service, ensuring compliance and reducing complexity.
Amazon Bedrock Data Automation streamlines data extraction from financial documents with custom blueprints for accuracy and efficiency. Foundation models like Anthropic Claude enhance OCR capabilities for structured, actionable data extraction.
NVIDIA introduces Polar, a framework for reinforcement learning in language agents. Polar simplifies integration with existing agent software, allowing researchers to run reinforcement learning without modifying the agent harness.
EAGLE Team's EAGLE series introduces EAGLE 3.1, enhancing speculative decoding with attention drift fixes for improved stability and performance in various environments. TorchSpec streamlines training for EAGLE 3.1, advancing research and deployment of speculative decoding algorithms.
Field Advisor on Amazon Bedrock AgentCore streamlines agent orchestration for AWS Sales, reducing cognitive load and improving customer interactions. This internal conversational assistant enhances productivity by routing requests to specialized agents, enabling sales reps to focus on customer needs.
Sakana AI and University of Tokyo propose DiffusionBlocks, reducing memory usage in neural network training. Residual connections mimic Euler steps, enabling independent training of each block.
Practicing coding skills, a developer tests a gradient boost regression model on the Diabetes Dataset, highlighting the clever technique behind this ensemble model. Implementing 100 decision trees in C#, the developer explores the subtle yet effective approach of predicting residuals to enhance accuracy.
Researchers from National University of Singapore and MIT propose MEMO to integrate new knowledge into large language models without degrading previous knowledge. MEMO separates memory and reasoning, training a separate MEMORY model to internalize knowledge from a corpus, enhancing transferability across models.