AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Abstract: Detecting partial deepfake speech is essential due to its potential for subtle misinformation. However, existing methods depend on costly frame-level annotations during training, limiting ...

The attractiveness of a reward decreases with delay — a phenomenon known as temporal discounting. Humans and other animals typically devalue short-term rewards more steeply than those further in the ...

The examples are nothing if not relatable: preparing breakfast, or playing a game of chess or tic-tac-toe. Yet the idea of learning from the environment and taking steps that progress toward a goal ...

As an undergraduate at Stanford University in the mid-1970s, Richard Sutton pored through the school’s library, trying to read everything he could about learning and machine intelligence. What he ...

Seattle-based Temporal has made its name over the last several years in the world of microservices — specifically providing a platform to orchestrate the messy business of building and operating ...

Abstract: Dynamic Programming suffers from the curse of dimensionality due to large state and action spaces, a challenge further compounded by uncertainties in the environment. To mitigate these issue ...

In today’s rapidly evolving business environment, talent and learning development (L&D) leaders are tasked with ensuring their programs drive measurable impact. But navigating the learning technology ...

Longitudinal imaging plays a crucial role for health studies, screening, and monitoring, by enabling the tracking of significant changes over time. Current methods require manual preprocessing with ...

It’s not enough for schools to help students with learning differences or disabilities shore up their academic weaknesses. Students also need to learn how to communicate with others—particularly ...

Over the past few years, a growing number of researchers have dedicated their efforts to focusing on temporal modeling. The advent of transformer-based methods has notably advanced the field of 2D ...