Meta will launch Meta Compute, a new AI infrastructure group, to accelerate investments in data centers and energy supplies for advanced AI, co-led by Janardhan and Gross.

The study identifies a less visible but increasingly important countertrend: the rapid growth in energy consumption driven by AI itself. Training large machine learning models, running continuous inference,

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging electricity usage of data centers that enable the training and deployment of the latest generative AI models.

Leveraging AI algorithms to perform real-time analysis of massive logs and network traffic, the system can rapidly identify anomalous behaviors—including abnormal logins, data exfiltration, and potential internal threats—thereby building an impregnable security defense for corporate core computing assets.

Taiwanese integrated circuit (IC) distributor Weikeng projects robust revenue growth driven by rising demand for AI data center computing and power management solutions, with AI server-related products expected to increase by 50 to 60% in 2026. The..

Artificial intelligence is still remaking the global economy, but a second, deeper tremor is already building underneath it. By 2030, the combination of quantum hardware and quantum-enhanced AI is on track to deliver a shockwave that could reorder industries,

America’s AI lead hinges on power and speed. Nvidia’s Jensen Huang warns that without energy and infrastructure reform, the U.S. risks losing its AI edge to China.

Distinguished delegates, colleagues and friends, Writers and futurists have long echoed Alvin and Heidi Toffler’s idea that “the future arrives too fast…and in the wrong order.” Today, we know, the speed is exponential. Two forces are reshaping ...