From on-premises lab prototype to globally scalable pest intelligence When a farmer in central Iowa spots an unfamiliar insect on their crop, every hour matters. Waiting days for a county extension agent visit or thumbing through reference guides can mean the difference between a targeted spot treatment and a costly full-field chemical application. Iowa State

Articial intelligence creates efficiency for carriers, disruption for agents (AI-generated image) By Paige Waters and Stephanie Macro Artificial intelligence is no longer a buzzword reserved for technology conferences and corporate strategy decks. It is actively reshaping how life and health insurance is sold, underwritten, serviced and regulated. Those who understand the technology and how to

Comments (7) Michael Burry used a series of historical charts to caution that the artificial intelligence boom could resemble past speculative market episodes. Posting through his "Cassandra Unchained" account, Burry paired charts of the rapid growth in the global machine learning market with historical charts

Growing demand for compute capacity, power, cooling and low-latency connectivity is prompting organizations to reassess where AI applications run, according to CoreSite. Public cloud continues to support experimentation and rapid deployment, while colocation is increasingly used for workloads that require predictable performance, dedicated infrastructure or close proximity to cloud services and enterprise data. More than

High-quality videos have become essential for content creators, businesses, educators, and everyday users. Whether you’re uploading to YouTube, sharing on social media, or preserving family memories, clear and professional-looking videos make a lasting impression. Unfortunately, many videos suffer from low resolution, blur, digital noise, or poor lighting. Thankfully, an Online AI Video Enhancer provides a

News & Views Published: 13 July 2026 Neuromorphic architectures Nature Machine Intelligence (2026) Cite this article Subjects The brain’s architecture exhibits diversity across many temporal and spatial scales, yet our computing architectures remain largely homogeneous. Low-powered neuromorphic hardware offers a path towards energy-efficient AI, but could these approaches be improved with heterogeneous computing architectures? This

TL;DR Both Outstanding Paper Awards at ICML 2026 went to diffusion research: one on arbitrary-order diffusion LMs, one on log-concave sampling. The Outstanding Position Paper Award recognized a critique arguing that alignment methods can be repurposed as a censor's toolkit. The Test of Time Award went to the 2016 paper Asynchronous Methods for Deep Reinforcement

The short answer (July 2026): the best genuinely free AI courses right now are Elements of AI for complete beginners, the Hugging Face LLM Course for generative AI, the Hugging Face Agents Course for AI agents (free certificate included), Anthropic Academy for Claude and the Claude API, fast.ai for coders, and MIT 6.S191 for university-grade