This course covers the learning outcomes and goals of understanding the MIPS Open architecture, its components, and benefits. Students will learn to download packages related to MIPS Open,...

This course covers the biology of artificial life, exploring topics such as computer simulations, the Game of Life, software engineering, evolution, physics, taxonomy, ecology, morphology,...

Leela is a semantic artificially intelligent agent modeled on the theories of Jean Piaget. She builds increasingly abstract semantic models of the world from her experiences of exploration, play,...

This course covers the meaning of Big Data, the challenges posed by big volume, velocity, and variety of data, and the tools and techniques used in data science and complex analytics. The...

This course explores the intersection of DNA and AI, focusing on topics such as ALS, coding, MD/PhD programs, pharmaceutical industry challenges, data advantages, brain modeling,...

The Internet of things describes physical objects with sensors, processing ability, software and other technologies that connect and exchange data with other devices and systems over the Internet...

This course aims to educate learners on the benefits of using the RISC-V Instruction Set Architecture (ISA) and advocates for freely available ISAs. The course covers topics such as the background...

This course explores the opportunities for High-Performance Computing (HPC) in the field of Deep Learning. By the end of the course, learners will understand the workload characteristics of...

Autonomous systems and robots are becoming prevalent in our everyday lives and changing the foundations of our way of life. In this talk, we’ll explore the notion of structure across...

Since the rise of deep learning in 2012, much progress has been made in deep-learning-based AI tasks such as image/video understanding and natural language understanding, as well as...

This presentation details a fully programmable, associative, content-based, compute in-memory architecture that changes the concept of computing from serial data processing--where data is moved...

This course assumes that you are comfortable with Microsoft Excel, but you do not need training in statistics. If you wish to receive a verified certificate, you must download the free...

This course teaches students how to apply Hidden Markov Models for probabilistic inference, object tracking, and particle filtering. The course covers topics such as lattice representation,...

This course aims to teach students about efficient and resilient systems in the cognitive era. The learning outcomes include understanding system architectural vision for the cognitive...

This course aims to teach learners about distributed perception and learning between robots and the cloud. The learning outcomes include understanding the key challenges of cloud...

As machine learning (ML) advances, it is likely to have a big impact on any domain with lots of data and easily measurable objectives. This encompasses a large swath of daily life, but it...

This course focuses on designing assistive technologies to empower individuals with disabilities. The learning outcomes include understanding the role of computers in enabling abilities,...

Evidence that has emerged in recent years helps students engage with Common Core mathematics and helps teachers prepare for Common Core teaching. In this webinar, Professor Jo Boaler will...

This course teaches learners how to apply Maximum Likelihood estimation in Bayesian Networks. The course covers topics such as where parameters come from, learning tasks, parameter sharing,...

This course is an introduction to Logic from a computational perspective. It shows how to encode information in the form of logical sentences; it shows how to reason with information in this...