Quantum infrastructure software is redefining quantum computing by automating calibration, optimizing workloads, and letting ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations.D ...

The modern enterprise analytics landscape resembles a bustling financial district at rush hour—valuable data moving at ...

All claims involved collecting data, applying a machine-learning algorithm, and generating an output—either a schedule or programming map.

Re-weighting, adversarial debiasing, and fairness constraints can be incorporated into AI models to identify and eliminate ...

Discover why some puzzles stump supersmart AIs but are easy for humans, what this reveals about the quest for true artificial ...

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

The course builds on my 2018 class, Art and Geometry, which I co-taught with local artists. The course explored Picasso’s ...

There are many ways to test the intelligence of an artificial intelligence—conversational fluidity, reading comprehension or ...

Big tech monopolies can lead to higher ad costs and less innovation. Can you imagine your life without Google? Google Search, ...

To accomplish this, the system uses Monte Carlo Tree Search (MCTS), a decision-making algorithm famously used by DeepMind’s AlphaGo. At each step, AB-MCTS uses probability models to decide whether ...