The AI Energy Crisis: Why AI Consumes So Much Energy and How We Can Fix It
AI’s rising energy demands pose major challenges to sustainability. Tech giants are turning to nuclear power, cooling innovations, and efficiency measures to adapt.
AI Simplified: Comprehensive explainers that anyone can follow to understand the fundamentals and mechanics of AI
AI’s rising energy demands pose major challenges to sustainability. Tech giants are turning to nuclear power, cooling innovations, and efficiency measures to adapt.
Autonomous AI agents are transforming automation, with Nvidia, Microsoft, Anthropic and Google competing to lead. All you need to know about the next AI frontier
India’s strategic plan for AI leadership involves education initiatives, tech partnerships, and a skilled workforce, positioning it as a global AI powerhouse.
AI is changing the legal profession by automating routine tasks, enhancing efficiency, and raising new ethical challenges for legal professionals and their clients.
Human trainers are becoming essential to AI’s development, helping to mitigate errors and improve accuracy. As AI evolves, the expertise of trainers in fields like medicine and finance is critical to reducing hallucinations and maintaining model reliability.
Explore AI ethics via Aristotle’s philosophy, focusing on human-centered design, enriched ethical values, and democracy’s role in AI development, as detailed in the “Lyceum Project” white paper.
The race for AI supremacy is no longer limited to a US-China rivalry. This article examines the global competition for AI leadership, analyzing strategies employed by nations like France, the UAE, and Saudi Arabia, highlighting the importance of international collaboration in shaping a beneficial AI-powered future.
The rapid advancement of AI has led to a surge in demand for robust and scalable infrastructure. This article explores the critical components of AI infrastructure, including hardware, software, and networking, that are essential for supporting AI workloads. The article also examines the benefits, challenges, and emerging trends in AI infrastructure.
The rise of AI has ignited an insatiable demand for cutting-edge AI chips capable of fueling revolutionary advancements in fields like autonomous vehicles and natural language processing.