Meta has deployed mandatory software tracking mouse movements and keystrokes across 25,000 engineers, using the data to train ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

While both technology giants are spending aggressively to own the artificial intelligence future, one arguably looks better ...

AI vs. Machine Learning: Future Scope. In today's digital world, terms like Artificial Intelligence (AI) and Machine Learning ...

Foundational to the work on quantum error correction (QEC) are logical qubits, which are created by entangling multiple ...

The Office of Undergraduate Research organizes the Symposium of Student Scholars twice per year, offering students a unique ...

Demand for AI-capable engineers has surged 60% in the past year, but as hiring accelerates, companies are increasingly ...

“It’s like a paradigm shift approach… to drive discovery”: a new machine-learning model predicts how molecules will influence gene expression and has been used to pick out promising drug candidates ...

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold medal-level performance at the 2025 IMO, IOI, and ICPC World Finals. Nvidia has ...

In this tutorial, we explore how we use Daft as a high-performance, Python-native data engine to build an end-to-end analytical pipeline. We start by loading a real-world MNIST dataset, then ...

In this tutorial, we design an end-to-end, production-style analytics and modeling pipeline using Vaex to operate efficiently on millions of rows without materializing data in memory. We generate a ...