Physical AI combines generative AI’s data training with real-world interaction to improve robotics and autonomous systems, addressing safety and ethical concerns.
Discover DeepSeek—a free AI-powered search engine with advanced reasoning. Learn practical tips, usage guidelines, and alternatives to optimize your research.
Anthropic’s new study provides empirical evidence of alignment faking in large language models, exposing trust challenges in AI safety training.
By mimicking the genome’s data compression, researchers have developed an AI algorithm that performs complex tasks with minimal training, revealing new possibilities for efficient intelligence.
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 is emerging as a global AI powerhouse with initiatives targeting a $500 billion GDP contribution by 2030. Key projects include Reliance’s 3-gigawatt AI data center in Jamnagar, Microsoft’s $3 billion investment in cloud infrastructure, and partnerships with NVIDIA and Meta. Focused on agriculture, healthcare, and smart cities, India is also prioritizing sovereign AI, ethical data practices, and inclusive growth, positioning itself as a leader in the global AI race.
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.
