Google Research has released TimesFM-2.5, a 200M-parameter, decoder-only time-series foundation model with a 16K context length and native probabilistic forecasting […]
Category: Artificial Intelligence
Stanford Researchers Introduced MedAgentBench: A Real-World Benchmark for Healthcare AI Agents
A team of Stanford University researchers have released MedAgentBench, a new benchmark suite designed to evaluate large language model (LLM) […]
MoonshotAI Released Checkpoint-Engine: A Simple Middleware to Update Model Weights in LLM Inference Engines, Effective for Reinforcement Learning
MoonshotAI has open-sourced checkpoint-engine, a lightweight middleware aimed at solving one of the key bottlenecks in large language model (LLM) […]
Building an Advanced Convolutional Neural Network with Attention for DNA Sequence Classification and Interpretability
In this tutorial, we take a hands-on approach to building an advanced convolutional neural network for DNA sequence classification. We […]
OpenAI Introduces GPT-5-Codex: An Advanced Version of GPT-5 Further Optimized for Agentic Coding in Codex
OpenAI has just released GPT-5-Codex, a version of GPT-5 further optimized for “agentic coding” tasks within the Codex ecosystem. The […]
Google releases VaultGemma, its first privacy-preserving LLM
The companies seeking to build larger AI models have been increasingly stymied by a lack of high-quality training data. As […]
NVIDIA AI Open-Sources ViPE (Video Pose Engine): A Powerful and Versatile 3D Video Annotation Tool for Spatial AI
How do you create 3D datasets to train AI for Robotics without expensive traditional approaches? A team of researchers from […]
Meta AI Released MobileLLM-R1: A Edge Reasoning Model with less than 1B Parameters and Achieves 2x–5x Performance Boost Over Other Fully Open-Source AI Models
Table of contents What architecture powers MobileLLM-R1? How efficient is the training? How does it perform against other open models? […]
Top 5 No-Code Tools for AI Engineers/Developers
In today’s AI-driven world, no-code tools are transforming how people create and deploy intelligent applications. They empower anyone—regardless of coding […]
Software Frameworks Optimized for GPUs in AI: CUDA, ROCm, Triton, TensorRT—Compiler Paths and Performance Implications
Table of contents What actually determines performance on modern GPUs CUDA: nvcc/ptxas, cuDNN, CUTLASS, and CUDA Graphs ROCm: HIP/Clang toolchain, […]