Automate AI Workflows with Qualcomm AI Runtime
A developer's tutorial demonstrates how to automate AI workflows using Qualcomm AI Runtime (QAIRT), covering model optimization and deployment. The system leverages QAIRT features to streamline deploy…
A developer's tutorial demonstrates how to automate AI workflows using Qualcomm AI Runtime (QAIRT), covering model optimization and deployment. The system leverages QAIRT features to streamline deploy…
A developer claims that fusing three small local language models at the logit level on a laptop can match the reasoning of Anthropic's Fable 5, avoiding the cost and latency of centralized APIs. The t…
LFortran, LLVM, and Enzyme have been combined to automatically differentiate legacy Fortran simulation code, producing exact gradients through a multi-step time loop that match an analytic answer. The…
AMD announced that with ROCm 7.2.1, users can now run PyTorch and ComfyUI natively on Windows on an AMD Ryzen AI Max+ processor, driving the integrated AMD Radeon 8060S GPU directly. The unified memor…
Orca Security's 2026 State of AI Security Report found that 99.9% of fixable AI vulnerabilities remain unpatched across 1,200+ production cloud environments, with 50% of AI package vulnerabilities now…
The Open Source Technology Improvement Fund announced the results of a security audit of PyTorch ExecuTorch, conducted by Trail of Bits in January and February 2026, which found 42 security-impact fin…
A developer presents a 7-point framework for evaluating AI engineers in 2026, arguing that traditional signals like Kaggle experience or PyTorch knowledge no longer predict who can ship reliable AI sy…
PyTorch 2.13 shipped July 8 with FlexAttention gaining native Metal support on Apple Silicon, delivering up to 12x faster performance than SDPA on sparse patterns, and a new fused loss function that c…
A new open-source AI project on GitHub is claiming to be the 'Linux of AI,' but the project has few contributors and no community traction, leading critics to dismiss the comparison as a marketing plo…
Kira has unveiled its new evidence architecture, claiming it can process up to 50% more data per second than previous iterations, with potential implications for real-time analytics and autonomous sys…
A software engineer and technical program manager documents the first week of a 32-week journey from AI-API consumer to local LLM systems architect using an NVIDIA DGX Spark. The engineer inventories …
OpenScience, a new open-source AI workbench built primarily in TypeScript, has gained over 2,167 stars on GitHub. The project aims to provide a collaborative environment for scientific research, lever…
Hugging Face announced that custom GPU kernels on its Hub are now signed artifacts governed by a trusted publisher model, requiring a dedicated repository type that replaces the old model-type format.…
PolymathicAI released The Well, a 15TB collection of 16 physics simulation datasets for machine learning, covering domains like fluid dynamics and supernova explosions. The open-source repository prov…
A developer built a hybrid Transformer-BiLSTM system for multi-horizon Bitcoin price prediction using PyTorch, processing over 87,000 training generations. The system uncovered critical machine learni…
A developer built a semantic search engine that runs entirely in the browser using a static embedding model (model2vec) instead of a full transformer, reducing the model size to a 4 MB lookup table. T…
A developer investigating FLUX.1 [dev] for commercial use found its non-commercial license and questioned whether AI model vendors can track self-hosted deployments. The article concludes that technic…
Researchers introduced two CUTLASS-based kernels that accelerate the SwiGLU activation function in large language models by up to 2.47x on NVIDIA H100 GPUs, shifting workloads from memory-bound to com…
Researchers have developed a new adaptive learning rate approach for Stochastic Gradient Descent that adjusts rates based on objective estimates, achieving faster convergence in complex machine learni…
A developer built Draco AI, a full-stack, hardware-agnostic LLM system from scratch in pure Python and NumPy, eliminating heavy framework dependencies like PyTorch or HuggingFace. The system is 100% o…