From greedy shortcuts to dynamic programming guarantees, algorithm design techniques are the backbone of efficient problem-solving in computer science. Understanding when and how to apply each ...

In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...

AI is no longer a future concept. It already shapes how children access information, how decisions are made around them, and ...

Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial ...

Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...

Abstract: The traveling salesman problem is a classical and challenging optimization problem in combinatorial optimization, widely applied in logistics and path planning. To address this problem ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Big technology, algorithms and AI are shaping our work, our attention and the lens through which we see the world. Just as quickly, our universities, companies and policymakers are expanding programs ...

As Big Tech companies face legal backlash for addictive features and potential mental health risk, parents are ceding responsibility for what happens inside the home. On March 25th, Meta and Google ...