The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Anthropic’s Claude models are now generally available in Microsoft Foundry, giving Azure developers and enterprise application teams another major frontier model option inside Microsoft’s cloud AI ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Princeton’s CEO-Bench gave 14 AI models $1 million to run a simulated SaaS startup for 500 days. Most went bankrupt or lost ...

Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

[2024/1] Medusa technical report is now available on arXiv. We've added multiple new features, including Medusa-2 recipe for full-model training, self-distillation for adding Medusa to any fine-tuned ...

eLuminous Technologies developed a scalable, ML-powered price prediction platform for a Texas-based industrial equipment trading company. Using Python, web scraping, and advanced algorithms, the ...

The Google ADK is a capable and mostly complete framework for developing agents, with support for multiple agent types, multi-agent architectures, and multiple programming languages. The Google Agent ...

JAVAONE Oracle has shipped Java 26, a short-term release, and introduced Project Detroit, which promises faster interop between Java, JavaScript, and Python. Java 26 will be supported for just six ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

Microsoft launches BitNet.cpp, enabling efficient inference for 1-bit large language models on local devices. Achieve processing speeds of 5-7 tokens per second on a single CPU with 100B BitNet b1.58 ...

Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to production. Modern Python tools enhance model performance, scalability, and deployment ...