Tech • AI • Robotics
50 articles analyzed by AI / 783 total
Microsoft Azure has surpassed $100 billion in annual revenue driven by record AI spending that has impacted the company's cash flow. This milestone reflects Microsoft's significant financial commitment to AI development and scaling of its cloud AI services.
Microsoft reported a 31.6% profit increase alongside increased investment in AI initiatives, highlighting robust growth and strategic emphasis on artificial intelligence technologies within the company.
Eliyan raised $145 million at a $1 billion valuation to address data bottlenecks in AI chip processing, marking a major investment in AI infrastructure technology that aims to improve performance for AI hardware.
OpenAI published a report demonstrating that AI coding agents such as Codex and Claude Code have reduced runtimes in eight scientific computing projects. This showcases advances in AI-assisted software development accelerating scientific research workflows.
Microsoft announced that its AI-powered Copilot tool is now used as frequently as Teams and Outlook, underscoring strong user adoption of AI coding assistants that integrate into everyday productivity and collaboration platforms.
Lam Research reported record quarterly revenue and a positive outlook fueled by increasing demand for AI chips, highlighting the growing hardware market driven by AI compute requirements.
Meta and Microsoft both reported ballooning expenses related to AI investments, reflecting their heavy spending on AI research, development, and infrastructure to maintain competitive advantages.
OpenAI CEO Sam Altman briefed US senators about the risks of rogue AI agents and previewed new AI models, stressing the importance of oversight and safety in the development of advanced AI technologies.
The FDA granted De Novo authorization to a new AI-based medical tool designed to automatically quantify coronary inflammation from CCTA exams. This regulatory milestone advances AI use in cardiology diagnostics.
Becker’s AI transparency law is set to take effect soon, aiming to increase accountability and openness in AI systems. This regulatory development marks progress toward governance and ethical AI deployment.