machine-learning

Current Artificial Intelligence (AI) systems, including Large Language Models (LLMs) and neuro-symbolic Automated Theorem Provers (ATPs), face severe limitations regarding semantic preservation and out-of-distribution reasoning. When attempting to transfer inferential logic across heterogeneous mathematical domains, these systems frequently suffer from "semantic hallucinations" and catastrophic f…

We have many threads on AI, which are mostly AI/LLM, e.g,. ChatGPT, Claude, etc. It is important to draw a distinction between AI/LLM and AI/ML/DL, where ML = Machine Learning and DL = Deep Learning. AI is a broad technology; the AI/ML/DL is being developed to handle large data sets, and even... Read more

Your RAG system isn’t failing at retrieval — it’s failing at reasoning. This article shows how I built a lightweight self-healing layer that detects and corrects hallucinations before they reach users. The post RAG Hallucinates — I Built a Self-Healing Layer That Fixes It in Real Time appeared first on Towards Data Science .

A $200 million gift from venture capitalist Mark Stevens and his wife, Mary, will build on USC’s strengths by leveraging AI to accelerate breakthroughs in the health sciences, security, business and the arts. The post USC launches transformational AI initiative with one of the largest gifts in university history appeared first on USC .

Key Takeaways One-shotting prompts without a spec is the most common failure mode: experienced devs were 19% slower with AI tools when the task wasn't clearly scoped (METR 2025) AI-coauthored code is 1.75× more likely to introduce correctness errors and 2.74× more likely to ship XSS vulnerabilities than human-only code (CodeRabbit 2025) Without architectural rules in AGENTS.md / Cursor rules / CL…

This article provides a step by step deployment guide for using Amazon Bedrock models with ADK Agents. What is this project trying to Do? This project aims to configure an ADK agent to use an Amazon Bedrock model. Lite LLM LiteLLM is an open-source AI gateway and Python SDK that provides a unified OpenAI-compatible interface to over 100 LLMs (Anthropic, Gemini, Azure, Bedrock, Ollama). It simplif…

If this is useful, a ❤️ helps others find it. All tests run on an 8-year-old MacBook Air. HiyokoLogcat renders 50,000+ log lines without freezing, and has a Gemini AI button on every error line. These two features interact in non-obvious ways. Here's what I had to think through. The core tension Virtual scroll works by only rendering visible rows. Rows outside the viewport are unmounted from the …

Most "chat with your website" projects ship without any measurement. Mine did too. The live demo was up, answers looked plausible, and I moved on. Then I built a proper evaluation harness and found out exactly how wrong "looks plausible" is as a quality signal. This post covers the eval design, the bugs it caught, the prompt changes that fixed most of them, and the two metrics that still don't pa…

Sightline Intelligence sent AI-supported tool to company that provides drones to Israeli military, research group says Anti-war activists in Portland , Oregon , are pushing city authorities to ensure no local resources, tax breaks or investments support a local company that appears to be supplying artificial intelligence software to the Israeli military. The company, Sightline Intelligence, manuf…

The restructuring is aimed at addressing market volatility and increasing the use of AI tools to improve efficiency.

The Problem AI agents are moving from answering questions to taking actions — calling APIs, querying databases, executing code, managing memory. The security surface has shifted from "what the model says" to "what the agent does." Most guardrail solutions address the first problem. They filter content. They detect prompt injection. They moderate output. These are necessary but insufficient. The g…

The Model Context Protocol crossed 97 million monthly SDK downloads in 2026. Most tutorials cover the server side — registering tools and exposing them via MCP. This guide covers the other half: building an agent that connects to those servers, discovers available tools at runtime, and routes Claude's tool_use requests through the MCP client API. You will end up with a TypeScript program that: Sp…

Mistral Large 3 launched in December 2025 as Mistral's flagship open-weight model. Six months later it remains the largest model Mistral has publicly released under a permissive license. This guide covers the architecture, benchmarks, pricing, and practical considerations for developers deciding whether to use it in 2026. What Mistral Large 3 Is Mistral Large 3 (model ID mistral-large-2512 , the …

Why Most Crypto Bots Get Sandwiched (And How to Prevent It) If you’ve ever tried deploying a crypto trading bot, chances are you’ve encountered the dreaded sandwich attack . It’s one of the most frustrating experiences for traders and developers alike. I’ve lost count of how many times my bots got caught in these attacks, but over time, I’ve learned how to mitigate them effectively. In this artic…

After running multiple Claude Code sessions daily for a few months, I got tired of cmd-tabbing between terminal windows trying to remember which session needed my attention. So I built Muxara — a small always-on-top desktop app that shows all your Claude Code sessions as live status cards. It auto-detects whether each session is waiting for input, actively working, idle, or errored. Sessions need…

A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, helping explain why a single treatment does not work for all patients.

I have used AI in two very different contexts. First, I used AI to build an OSS project largely by myself. Second, I applied AI to brownfield development inside an organization. In the second case, I did not use AI only for code generation. I used AI across a much wider part of the development process: source code design documents implementation plans test specifications test cases release proced…

What is Mycelium? (2 para) The problem we're solving (2 para) Discovery benchmark Dataset (1k agents, 1k queries) Results table Keyword vs Semantic graph (ASCII) Load benchmark Cache architecture Results table What changed (before/after cache) How to reproduce pip install code snippet What's next (roadmap) GitHub link -> udaysaai / mycelium 🍄 The open-source internet for AI agents. pip install → …

Even if your Magento store ranks well in Google, it may still not appear in AI-generated product results (ChatGPT, Gemini, Perplexity). A common reason is missing or incomplete Product schema. AI systems rely on structured data to extract pricing and availability. When that data is missing or inconsistent, products may not be eligible for inclusion. This guide covers what is typically missing, wh…