Sahaj Tushar Gandhi, a machine learning engineer specialising in computer vision and AI applications, works across academic ...

In rock-paper-scissors, the ideal strategy is simple: You should play a random move each round, choosing all three ...

The most enrolled courses largely consist of computer science offerings, along with other STEM classes and core requirements.

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

A new study published in the Journal of Experimental Psychology: General suggests that personalization algorithms used by ...

This fall, the Dornsife College of Letters, Arts and Sciences launched a new master’s of science graduate program in ...

In the GenAI era, program comprehension is not just another skill in the toolbox; it is the toolbox itself. It enables learners to move beyond passive acceptance of AI outputs, guiding them to ...

AI-driven trading is reshaping markets with speed, pattern discovery, and new risks—bringing efficiency and unpredictability.

Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms.

In this four-year PhD project, you will develop real-time machine-learning systems for the analysis of fluorescence-guided endoscopic videos. Your primary goal is to design and evaluate machine ...

The launch of the first domestic programmable machine became the starting point for the digital era in our country, giving ...

In a data-driven world, the ability to analyze and interpret information is critical. Harvard University’s Professional ...