Maximizing Gemini: Google Cloud makes its bid to build the operating system for enterprise AI

Google LLC has emerged as the only cloud “hyperscaler” with a leading frontier artificial intelligence large language model – ...
TMCnet

Grafana Labs Launches Grafana 13 at GrafanaCON 2026, Makes Open Observability Easier to Run at Scale

Grafana Labs, the company behind the open observability cloud, today unveiled Grafana 13 and a wave of open source updates at GrafanaCON 2026, anchored by a next-generation Grafana Loki architecture ...
HealthcareInfoSecurity

Maximizing Mythos Returns Requires AI Cybersecurity Pipeline

While the world is in "awe" of how Mythos can find vulnerabilities and chain together exploits, the next step is to identify ...

CNN Hires New York Times Chief Data Scientist Chris Wiggins to Head AI Team

CNN hired Chris Wiggins, former chief data scientist at the New York Times, for a newly created role as head of machine ...
Journal of Medical Internet Research

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...
IEEE

Solar Energy Forecasting Using Machine Learning Techniques for Enhanced Grid Stability

Abstract: The increasing integration of solar photovoltaic (PV) systems into modern energy grids presents significant challenges due to the intermittent and weather-dependent nature of solar energy ...
Drovers Cattle Network

Maximizing Reproductive Success: How to Use Estrus Synchronization to its Full Potential

Synchronization programs are always evolving, and you want to use the best one. Kansas State University veterinarian Brad White says, “The problem is, the best has a couple of different definitions.” ...
IEEE

Influence maximization in evolving graphs using reinforcement learning

Abstract: Influence maximization (IM) aims to maximize awareness in a social network by selecting the optimal set of individuals to start information diffusion. Traditional heuristic IM algorithms ...
The Lancet

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective ...

lDepartment of Surgery, Meizhou People’s Hospital, Meizhou, China mDepartment of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital (Guangdong Academy ...