Spread the love Introduction Artificial Intelligence (AI) and Machine Learning (ML) have become integral parts of our daily ...

Computing Across Disciplines is a three-part series that explores the interdisciplinary programs at UT that are shaping the ...

Housing tends to be a key part of household wealth, but despite its importance, it has been difficult to measure the value of ...

Quantum computing is breaking past theoretical barriers, AI is becoming more autonomous and companies that understand this ...

Having machines learn from experience was once considered a dead end. It’s now critical to artificial intelligence, and work ...

Stat 304 is *not* a substitute for Comp_Sci 214. Machine Learning is the study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision ...

you will be tasked with designing algorithms and frameworks for perception (computer vision, force and tactile sensing, inertial data, distance sensors), cognition (knowledge, representation, planning ...

The group develops new methods and algorithms, focusing especially on approximate Bayesian inference of probabilistic programs. The spatiotemporal data analysis group develops estimation, machine ...

Yes – a bachelor’s degree in computer science or a STEM-related discipline ... both theoretical and applied artificial intelligence and machine learning, mathematics and algorithms for artificial ...

For example, algorithms based on deep learning can determine the location ... include positron emission tomography (PET) and computer tomography (CT). PET uses radionuclides to visualize metabolic ...

you will be tasked with designing algorithms and frameworks for perception (computer vision, force and tactile sensing, inertial data, distance sensors), cognition (knowledge, representation, planning ...