Neuromorphic computing is a computing approach that mimics how the human brain works. Our gray matter is a marvel of nature, capable of handling huge volumes of data with incredible energy efficiency. While modern AI hardware is becoming better at processing complex tasks, it consumes vast amounts of energy.
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| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Brain-inspired nanopore device uses current-induced heating for memory operations | 0 | 7 | 16-07-2026 |
| 2 | A hardware-software co-design can efficiently run AI on edge devices | 5 | 7 | 11-04-2026 |
| 3 | Quantum sensing microscope illuminates transistor design | 0 | 7.23 | 21-07-2026 |
| 4 | Human brain cells are far more powerful than scientists thought | 0 | 8.09 | 13-08-2026 |
| 5 | AI learns to focus like humans to speed up video analysis | 0 | 6.29 | 05-08-2026 |
| 6 | Ученые наконец подсчитали, сколько информации способен хранить человеческий мозг | 5 | 7 | 21-07-2026 |
| 7 | Intel представила первый энергоэффективный чип на базе AI | 0 | 0 | 21-08-2019 |
| 8 | Taking lessons from a sea slug, study points to better hardware for artificial intelligence | 0 | 6.12 | 14-09-2021 |
| 9 | Jai Sharma: The Next Wearables Wave Will Train the Brain, Not Just Track It | 0 | 10.42 | 24-07-2026 |
| 10 | Ученые выявили, что искусственные связи нейронов могут обучаться подобно биологическим | 0 | 0 | 25-07-2019 |