AI news
1. Google DeepMind and ITER Achieve Fusion Milestone via "Kinetic AI"
Date: July 17, 2026
Google DeepMind and the ITER Organization have announced a breakthrough in nuclear fusion stability using a novel "Kinetic AI" control framework. The system employs deep reinforcement learning to predict and neutralize plasma instabilities in real--time, enabling a record--breaking 30--minute sustained high--pressure discharge. This transition from experimental physics to AI--driven engineering is expected to accelerate the commercialization of fusion power by a decade. Experts note that the system's ability to manage magnetic fields at microsecond scales effectively solves the "plasma disruption" bottleneck that has hindered fusion for decades.
| Metric | Specification |
|---|---|
| Sustained Duration | 30 Minutes |
| Control Latency | < 50 Microseconds |
| System Architecture | Deep Reinforcement Learning |
Source: Nature Portfolio