NVIDIA partners with industry leaders at OCP to advance open standards for next-gen AI factories, driving innovation and scalability. New contributions and partnerships aim to establish a common foundation for AI infrastructure, enhancing efficiency and reliability.
Amazon Bedrock offers global cross-Region inference for OpenAI GPT-6 models, including Sol, Luna, and Astra, providing broad access to capacity. Learn how to configure, set permissions, and monitor inference from your source Region, with reasoning and coding capabilities varying among the models.
Deploy large language model (LLM) across two GPU nodes on Amazon EKS using multi-node Ray LLM Deep Learning Containers for improved performance and scalability. Separate prefill and decode nodes enhance throughput and efficiency for tasks like RAG and document summarization.
Deploy decision models with llama.cpp on Amazon SageMaker AI for serving quantized models on CPU or GPU infrastructure. Use AWS DLC for llama.cpp to serve OpenAI-compatible chat completions and extend with SemIf for structured decisions, offering CPU and GPU deployment options.
Encoding categorical variables for tree-based regression can be simple (ordinal) or complex (one-hot, smoothed target). Surprisingly, simple ordinal encoding often works as well as more intricate methods like one-hot encoding.
An experiment with Gradient Boost regression using Blind Trees showed surprising success with weak learners. The Blind Trees technique improved predictions significantly with fast construction.
MIT associate professor Christina Delimitrou is using machine learning to optimize data centers, reducing energy waste and improving performance. By redesigning cloud computing systems and utilizing AI, she aims to enhance efficiency and minimize the need for new data centers.
Developers use frontier AI models with NVIDIA Omniverse libraries to create interactive simulations for exploring scenarios and improving designs. Projects include a humanoid simulator for warehouse tasks and an autonomous-driving testing workflow to compare models and sensor changes.
Neural Network Bistratum Regression Using C# in Microsoft Visual Studio Magazine explores a unique machine learning technique with two hidden layers. The demo showcases a 5-(10-10)-1 model with tanh() and identity() activations, achieving high accuracy.
MIT report explores AI's impact on academia, highlighting rapid advancements in mathematics and the changing landscape of research and graduate training. Universities must adapt to a future where AI outperforms humans in many intellectual tasks, reshaping how departments evaluate and reward valuable contributions.
Amazon Bedrock AgentCore payments streamlines AI agents' ability to make small, frequent purchases for services on demand. Incarna successfully implemented AgentCore payments to pay BlockRun for model inference, simplifying the payment process and reducing implementation time from months to days.
Claude Haiku 5.5, the fastest in its family, offers efficient subagent capabilities at 75% lower cost than its predecessor. Pairing with Opus 5.5, it handles coding, tool use, agentic tasks, and supports high-resolution images for quick and helpful responses.
Unsloth Studio launched beta desktop app for faster, affordable AI model fine-tuning. Security protocols ensure optimum safety for users, adapting quickly to evolving threats.
AI CoE leaders are rethinking ROI models for agentic automation, as traditional methods fall short in capturing its full value. McKinsey highlights the importance of process redesign and capability building in successful AI transformations.
Professionals without coding backgrounds can build AI with the right tools and support. A structured program helped a team create a winning multi-agent financial advisory tool in just six weeks.