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Sarang Kulkarni of Thoughtworks presented at the Arc of AI Conference 2026 on building deep research AI agents for healthcare and pharmaceutical R&D, detailing the development of an "Agentic RAG++" system to address the …
Sony Music filed a motion on May 22, 2026 in the US District Court for the Southern District of New York seeking to add 30,442 sound recordings to its copyright lawsuit against AI music generator Udio. The plaintiffs ide…
Investor Michael Burry warned that Nvidia stock faces an "aggressive fall," citing options and volume data that show trading volumes on a 50-day moving average at their lowest since 1999. Burry also flagged customer conc…
AirSense AI is building a self-improving orchestration layer for its hyper-local air quality intelligence dashboard using Hermes Agent by Nous Research. The agent solves IoT data pipeline challenges by automatically lear…
According to a recent discussion on r/learnmachinelearning, approximately 20% of machine learning theory is responsible for handling 80% of production work. The article identifies four key theoretical concepts—bias-varia…
The article describes a secure multi-tenant AI agent platform built on Google Cloud Platform (GCP) that uses Firecracker microVMs instead of traditional containers to provide strong workload isolation. The architecture s…
The article describes a test comparing two prompting approaches for the Gemma 4 model using messy, realistic business notes about a potentially broken operations report. The author found that asking for a "summary" produ…
This article provides a comprehensive framework for web performance optimization that extends beyond Google's Core Web Vitals, covering server configuration, CDN strategy, caching layers, and resource optimization across…
This article summarizes three key topics from recent Reddit discussions: a practical guide for running Claude Code offline using a local LLM managed by Ollama, a user-driven workflow for orchestrating Claude's chat, cowo…
Ferrari has partnered with IBM to overhaul its fan app using AI, aiming to deepen engagement with supporters by transforming race data into personalized content like AI-written race summaries and interactive games. The r…
The article compares five leading AI security and guardrails tools for 2026: LLM Guard, NeMo Guardrails, Guardrails AI, Vigil, and Rebuff. It explains that these tools protect autonomous AI agents from threats like promp…
This article summarizes research by Tasfin Mahmud on addressing observational bias in recommender systems using Graph Neural Networks (GNNs) and Causal Reinforcement Learning. The author implemented an open-source framew…
The article describes how the author verified Solana's "everything is an account" principle by inspecting various system accounts via the CLI. They discovered that a user wallet, the System Program, and sysvar accounts l…
The article argues that while AI agents could theoretically replace traditional ReST APIs by accepting ambiguous human input through a single prompt endpoint, this approach is risky because it removes the strict data val…
Here is a factual summary of the article: The article describes a Python-based tool that monitors Google News for brand mentions using the SearchApi.io API. Each morning, the tool fetches news articles for specified key…
Wearable technology has evolved from simply collecting health data to actively interpreting it, providing users with personalized recommendations and readiness scores rather than raw metrics. Research shows this shift si…
At Google I/O ‘26, Google announced new cost-effective frontier models for startups, including Gemini 3.5 Flash for agentic tasks and Gemini Omni for dynamic video content creation. The company also introduced Google Ant…
Grab's Analytics Data Warehouse team implemented a multi-agent AI system to automate engineering support workflows, handling tasks like SQL debugging and platform troubleshooting to reduce repetitive operational work. Th…
ARES (Adaptive Reasoning Effort Selection) is a framework that reduces the cost of multi-step LLM agent tasks by using a lightweight router to predict the minimum reasoning effort needed for each step, rather than applyi…
A developer's hands-on testing of Google's Gemma 4 models for a healthcare AI project in Africa. The author found that the 26B Mixture-of-Experts (MoE) model outperformed the larger 31B dense model for clinical signal ex…