Category: Machine Learning

At Google Cloud Next 2026 in Las Vegas, Riyaz Habibibhai, Director of Cloud AI Product Marketing at Google Cloud, shared insights about the company’s AI agent strategy. Habibibhai spoke with TWiML founder and principal analyst Sam Charrington to learn more about Google Cloud’s commitment to a comprehensive, full-stack approach to AI-powered agent development and deployment. […]

Gone are the days of treating model risk management as a checkbox exercise. On April 17, 2026, federal regulators, including the Federal Reserve, FDIC, and OCC, overhauled existing guidance and replaced SR 11-7 and related issuances with a framework that requires a more integrated and risk-sensitive approach. This is more than just a technical update. […]

At the core of reinforcement learning, models are trained to prioritize outputs that yield stronger rewards, optimizing for quality as well as accuracy. In classic deep reinforcement learning, an agent operates within its environment and learns from its results. For LLM, the “action” is to produce text, and the reward signal reflects how good that […]

ATLANTA (April 25) — When it comes to design, the Voopoo Vinci Spark is definitely an eye-catcher. Stylish, compact, and incredibly portable, it’s perfect for vapers who are always on the go. This device is mainly made of high quality zinc alloy, giving it a sturdy and durable feel. You can immediately tell that this […]

Europe Artificial Intelligence in Social Media Market Size The Europe artificial intelligence in the social media market size was calculated to be USD 0.96 billion in 2025 and is anticipated to be worth USD 13.29 billion by 2034, from USD 1.29 billion in 2026, growing at a CAGR of 33.85% during the forecast period. Artificial […]

Scientists have used machine learning to help robots learn how to perform new tasks as conditions change. Marte Müller/Getty Images hide caption toggle caption Marte Müller/Getty Images Imagine a robot that can do your laundry, make your bed, cook dinner, and stock the dairy aisle at your local grocery store. Humans have long been able […]

New group positions MAXISIQ at the forefront of government AI adoption – clear, compliant and mission-aligned MAXISIQ, a trusted technology and professional services company with deep defense and government contracting expertise, announced today that AI Consulting Service Group — A purpose-built practice designed to help federal agencies, Department of Defense (DoD) components, and commercial enterprises […]

This study proposes a Hybrid GWO–XGBoost model for hospital-level pharmaceutical demand forecasting. The model integrates real-world hospital dispensing data, standardized drug catalogues, meteorological variables, and temporal features to improve predictive accuracy and model generalization. The overall workflow of the proposed approach is illustrated in Fig. 1, consisting of three main stages: (i) Data Preparation, (ii) Model […]

Malone, T. W. & Bernstein, M. S. (eds) Handbook of Collective Intelligence (MIT Press, 2022). Flack, J., Ipeirotis, P., Malone, T. W., Mulgan, G. & Page, S. E. Editorial to the inaugural issue of Collective Intelligence. Collect. Intell. 1, 26339137221114179 (2022). Article  Google Scholar  Yang, X.-S., Cui, Z., Xiao, R., Gandomi, A. H. & Karamanoglu, […]

A series on reinforcement learning (RL) following Sutton and Barth’s famous book “Reinforcement Learning” [1]. In my last post, I completed a detailed analysis of the first part of the book mentioned above, which introduces the basic solution techniques that form the basis of many RL techniques. these are: Dynamic programming (DP), Monte Carlo method […]