ΑΙhub.org
 

Free AI classes and reads


by
02 April 2020



share this:
AI online courses

Given the current circumstances worldwide, this month we have selected tweets about some interesting resources, reads, and free online classes that you can take while staying at home. Stay safe!

MIT free classes in computer science and AI

Technical talks

90 days free license for a GPU-accelerated genome analysis software for researchers working on fighting #COVID19

Data science open source tools

AI and data science free class on Coursera

Research articles on COVID19

Weekly podcast to keep up with news related to AI

A free class about AI’s current role for high school researchers

A cross-disciplinary community resource to aid educators in addressing the current challenges in their classrooms

An opinion piece on how to run effective meetings online




Nedjma Ousidhoum is a postdoc at the University of Cambridge.
Nedjma Ousidhoum is a postdoc at the University of Cambridge.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang

  25 Feb 2026
In the third of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Oliver Chang.

The Machine Ethics podcast: moral agents with Jen Semler

In this episode, Ben and Jen Semler talk about what makes a moral agent, the point of moral agents, philosopher and engineer collaborations, and more.

Extending the reward structure in reinforcement learning: an interview with Tanmay Ambadkar

  23 Feb 2026
Find out more about Tanmay's research on RL frameworks, the latest in our series meeting the AAAI Doctoral Consortium participants.

The Good Robot podcast: what makes a drone “good”? with Beryl Pong

  20 Feb 2026
In this episode, Eleanor and Kerry talk to Beryl Pong about what it means to think about drones as “good” or “ethical” technologies.

Relational neurosymbolic Markov models

and   19 Feb 2026
Relational neurosymbolic Markov models make deep sequential models logically consistent, intervenable and generalisable

AI enables a Who’s Who of brown bears in Alaska

  18 Feb 2026
A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears in the wild, despite the substantial changes that occur in their appearance over the summer season.

Learning to see the physical world: an interview with Jiajun Wu

and   17 Feb 2026
Winner of the 2019 AAAI / ACM SIGAI dissertation award tells us about his current research.

3 Questions: Using AI to help Olympic skaters land a quint

  16 Feb 2026
Researchers are applying AI technologies to help figure skaters improve. They also have thoughts on whether five-rotation jumps are humanly possible.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence