Collaborative Research: FET: Medium: Field Programmable Oscillator Ising Machines — NSF Award to Yale University (CT, $328,193)
Combinatorial optimization (CO) problems are pervasive under the hood of modern life. CO problems underlie artificial intelligence, autonomous driving, logistics in healthcare/power grids/transportation, robotic maneuvering, wireless communications, error tolerant data storage, and many other societally important techn
| Award title | Collaborative Research: FET: Medium: Field Programmable Oscillator Ising Machines |
|---|---|
| Award ID | 2504588 |
| Awardee | Yale University |
| City | NEW HAVEN |
| State | CT |
| Amount obligated | $328,193 |
| Principal investigator | Rajit Manohar |
| Program | FET-Fndtns of Emerging Tech |
| Start date | 06/15/2025 |
| Abstract | Combinatorial optimization (CO) problems are pervasive under the hood of modern life. CO problems underlie artificial intelligence, autonomous driving, logistics in healthcare/power grids/transportation, robotic maneuvering, wireless communications, error tolerant data storage, and many other societally important technologies. In recent years, new ways to solve these problems (using "analog oscillator" mechanisms) have emerged that promise far greater solution effectiveness than current techniqu |
| Source | NSF Awards |
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