Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.

There are many possible lives we could live but the use of Plath’s fig analogy to explore this idea is not quite right.

Physical AI and Embodied AI, which allow bots to understand and navigate the real world—are powering the robot revolution.

One possible reason: The real-world value of adaption and resilience projects has long been grossly underestimated due to incomplete data.

One real-world example of living intelligence that impressed me is DeepMind’s AlphaFold. It accurately predicted protein structures, solving a 50-year-old challenge in biology.

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more.

OpenAI, for example, just announced two new reasoning models with agentic AI functionality and tool use built right in. In the future, businesses may not even need third-party agents or agentic ...

From AI training to gaming and healthcare: Here’s how decentralized file-sharing is solving performance, cost and latency issues across industries.

Creating a real-world connection to classroom topics fosters a sense of responsibility and boosts student engagement.

This means they are made of both real numbers and the imaginary number i: the square root of negative 1. Remember, a square root of a number represents a number whose square is the original number.

For example, my team collaborates with academic researchers. So in order to amplify the real-world impact of our scientific breakthroughs, we created a dedicated impact accelerator to nurture ...