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A developer rescued a Retrieval-Augmented Generation (RAG) assistant from memory leaks and deployed it on a Render free-tier instance with a 512MB RAM limit. The engineer re-engineered the pipeline by replacing heavy PyT…
Microchip released Revision 2.0 of its PolarFire FPGA Ethernet Sensor Bridge, a board that connects up to four cameras to NVIDIA processing platforms over Ethernet using Holoscan Sensor Bridge technology. The new revisio…
A developer published a plain-English guide to transformer architecture, explaining how large language models like GPT-4, Claude, Gemini, and Llama process text from tokenization to autoregressive generation. The guide c…
Researchers used deep learning to screen 19.3 million fragments from 2,897 prion-related proteins, identifying 1,179 candidate antimicrobial peptides called prionins. Of 75 synthesized prionins, 59 inhibited bacterial pa…
Millions of people are confiding in AI therapy chatbots, but a KFF Health News investigation reveals that mental health data is dangerously exposed. Researchers found 1,575 vulnerabilities in popular Android mental healt…
Researchers have demonstrated that large language models can serve as selective surrogates for GPU kernel performance evaluation, accurately forecasting kernel runtime without requiring repeated compilation and execution…
Researchers discovered that artificial neural networks like CLIP contain "multimodal neurons" that respond to abstract concepts (such as "Spider-Man") across different input modalities like images and text. The team deve…
In the Leanpub Podcast, host Len Epp interviews Ediz Najim, a software architect based in Istanbul, about his book 'Systems Thinking for Agentic AI: A Software Architect’s Guide to Building Reliable LLM and Agent Systems…
Leanpub has launched the book 'Systems Thinking for Agentic AI: A Software Architect’s Guide to Building Reliable LLM and Agent Systems' by software architect Ediz Najim. The book teaches software engineers and architect…
Guardian, an open-source user-space firewall for AI agents, has released v0.1.0, intercepting and evaluating agent actions with a deterministic policy engine. In testing, it reduced prompt-injection attack success from 1…
A new survey from arXiv (2609.02984v1) examines collaborative learning approaches, including federated and decentralized learning, as they extend from Euclidean data to graph-structured data. The authors organize the fie…
Researchers developed a new method for out-of-scope intent detection using MiniLM embeddings, treating it as a one-class classification task with multi-cluster boundary learning. The approach outperformed existing baseli…
Researchers have found that continuous reward models in reinforcement learning are oversensitive, assigning different scores to equally good responses, which can lead to bad policies. They propose evaluating reward model…
Shrijith Venkatramana, building git-lrc, explains how scaling laws discovered by OpenAI, Google, DeepMind, and Anthropic made large language models like ChatGPT, Claude, and Gemini possible. The 2020 OpenAI paper 'Scalin…
Tiling splits large images into smaller patches during computer vision inference, making small objects like cars and people in aerial imagery easier to detect by preserving detail that would otherwise be lost when the fu…
WeightBridge, a weight-transfer library for reinforcement learning systems, reduces average GPU stall time by up to 42× over the state-of-the-art open-source RL framework across configurations spanning different models, …
The US government has signaled a legal interpretation that training AI models on existing data may constitute 'transformative use' rather than copyright infringement, potentially shielding OpenAI and other developers fro…
World Labs, the San Francisco AI company co-founded by Fei-Fei Li, launched Atlas on September 1, a single model for generating controlled video, reconstructing 3D scenes, and producing simulated camera views for robots,…
A study of 14 reasoning models found that outcome-based reinforcement learning (RL) often produces illegible chain-of-thought (CoT) reasoning, with accuracy dropping by 53% when models are forced to use only legible port…
Large language models (LLMs) like GPT-3.5 lack a capability the author calls 'strong generalisation,' a mix of situational awareness, out-of-distribution generalisation, symbol grounding, and adaptive world modelling tha…