Coherent expands AI manufacturing in Texas with $50 million CHIPS Act grant, boosting US semiconductor production. NVIDIA and Coherent CEOs lead groundbreaking for world's first 6-inch indium phosphide fab, crucial for AI infrastructure.
Amazon SageMaker AI introduces container image caching to speed up latency by up to 2x during scale-out events, addressing the container image download bottleneck for generative AI models. This advancement improves auto scaling responsiveness, removing the need to download container images when launching new instances, benefiting endpoint scale-out for various AI workloads.
Speculative decoding enhances LLMs, but faces sequential drafting limits. AWS's P-EAGLE transforms the process, boosting speed by up to 1.69x, now supported by Amazon SageMaker JumpStart.
NVIDIA Blackwell platform dominates MLPerf Training 6.0 with fastest training times and largest-scale training across 8,192 GPUs. NVIDIA showcases performance and scale with cutting-edge NVFP4 training methods and Blackwell Ultra capabilities.
MIT's INM celebrates its first year with Manufacturing Week, showcasing AI, startups, and workforce solutions for industrial transformation. INM inspires new manufacturing startups with programs like NSF I-Corps New England, fostering innovation and entrepreneurship in the industry.
Amazon Bedrock Guardrails introduces the InvokeGuardrailChecks API for agentic AI applications. This API allows for customizable safeguards at each stage of the AI loop, providing numeric scores for each safeguard to enhance safety controls and protect sensitive information.
Vibe coding with Atoms: AI team builds, markets, and deploys apps. No coding needed, just describe your idea.
Refactored C# kernel ridge regression approximates support vector regression. Technique combines advantages of both methods for efficient large dataset handling.
LangChain Deep Agents addresses the challenge of depth versus context in AI-powered research workflows by delegating deep work to isolated subagents. Amazon Bedrock AgentCore provides the infrastructure needed, allowing developers to build competitive research agents with isolated execution environments for multi-step AI workflows.
Databricks releases Omnigent, an open-source 'meta-harness' for AI agents under Apache 2.0 license, enabling seamless collaboration and control. Omnigent standardizes interfaces, allowing engineers to easily swap and coordinate multiple agents, enhancing composition and sharing capabilities.
C# "dynamic" keyword simplifies adding secondary evaluation metrics to regression models, enhancing flexibility and efficiency. Demo showcases diverse evaluation methods like RMSE, R2, and Baseline Accuracy for improved model assessment.
Zyphra introduces Zamba2-VL, a family of open vision-language models with a unique hybrid state-space design for competitive accuracy at lower latency. The Zamba2 backbone combines Mamba2 state-space layers and shared transformer blocks, outperforming other models in benchmarks like PixMoCount and Document understanding.
Rocket Close, a Detroit-based company within Rocket Companies, developed Supercharger, an AI solution in collaboration with AWS to optimize title operations workflows and improve efficiency in the lending and homebuying process. Supercharger centralizes knowledge, automates research-heavy tasks, and enhances both operational efficiency and client experience, powered by Strands Agents and Amazon...
L. L. Thurstone's 1927 paper on random utility models laid the foundation for understanding human preferences. Recent research by MIT experts reveals new insights and potential improvements to these models.
The Hertz Foundation awarded fellowships to MIT students Annika Marschner, Alvin Q. Meng, Zachary S. Siegel, and Matthew Wanta, providing 5 years of financial support for groundbreaking research. Recipients gain autonomy and access to a network of over 1,300 fellows, leading to collaborative breakthroughs in science and technology fields.