It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new ...

After obtaining feasible solutions from classical optimization, MicroAlgo CBQOA employs Continuous-Time Quantum Walk (CTQW) to search the solution space. CTQW is a random walk model in quantum ...

AI-driven routing algorithms help ships collect 60% more ocean plastic without extra costs, making cleanup faster and more ...

Understanding Amazon’s Online Assessment Amazon OA is a crucial step in the hiring process for Software Development Engineer ...

Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based la ...

Proper problem identification saves time, money, and frustration by focusing resources on effective solutions instead of ...

An extension of Microsoft Office tools, Math Solver represents one of the tech giant’s forays into the AI education space.

Researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an optimal solution that ...

When some commuter trains arrive at the end of the line, they must travel to a switching platform to be turned around so they ...

Mathematical word problems can be challenging for students. For solving word problems, you not only require numerical skills but also strong comprehension and critical thinking. The AI word problem ...