As artificial intelligence, cloud computing and digital services continue to expand, the world is facing a growing need for faster and more energy-efficient ways to store and process information. A team led by the National Institutes for Quantum Science and Technology (QST) has developed a new magnetic memory material that can be rewritten using laser light instead of electric current, a step that could help reduce power consumption in data centers and support future high-speed information systems.
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| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Brain-inspired phototransistor could cut AI energy use by sensing and storing data | 0 | 12.14 | 17-06-2026 |
| 2 | Quantum breakthrough links light and magnetism in atomically thin materials | 0 | 8.39 | 16-07-2026 |
| 3 | New programmable photonic chip can control how fast light moves | 0 | 7.59 | 22-07-2026 |
| 4 | Caltech breakthrough brings fiber-optic performance to silicon chips | 0 | 12.04 | 17-08-2026 |
| 5 | New light-powered chip could accelerate AI and quantum computing | 0 | 11.32 | 02-06-2026 |
| 6 | This new brain-like chip could slash AI energy use by 70% | 0 | 13.12 | 23-04-2026 |
| 7 | Scientists built a memory chip that breaks the rules of miniaturization | 0 | 7.19 | 03-05-2026 |
| 8 | Cornell engineers use tiny vibrating beams to rethink AI hardware | 0 | 8.98 | 01-06-2026 |
| 9 | Optical writing of antiferromagnets points toward new storage devices and energy efficient information systems | 7 | 8 | 04-07-2026 |