In the News
Why Artificial Brains Need Sleep
Artificial brains may need deep sleep in order to keep stable, a new study finds, much as real brains do.
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In The News
Why the buzz around DeepMind is dissipating as it transitions from games to science
DeepMind has done some of the most exciting things in AI in recent years. It would be virtually impossible for any company to sustain that level of excitement indefinitely
Microsoft's robot editor confuses mixed-race Little Mix singers
Microsoft Network’s artificial intelligence illustrated a story about the Little Mix singer Jade Thirlwall with a picture of her bandmate Leigh-Anne Pinnock
Applied use cases
Reading Your Face: How To Humanize Technology With Emotion AI
In other words, artificial intelligence (AI) must include emotional intelligence. El Kaliouby believes that science behind artificial intelligence and machine learning must be made more accessible so that people can become more informed consumers of the technology that uses their data.
UK releases guidelines to help governments accelerate ‘trusted’ AI deployments
The UK has released new guidelines during the World Economic Forum (WEF) to help governments accelerate the deployment of trusted AI solutions.
Getting machine learning to production
Table of Contents Art: The Other Side of the Rainbow, Roland Petersen, 1972 I haven’t seen many posts in the wild on how end-to-end machine learning works, so this post covers the process of creating an end-to-end proof-of-concept (POC) machine learning product, Venti, which is a Medium-like site...
Ethics
Academics call on nations to work together on A.I. and ensure it benefits all of humanity
A research group made up of academics from across the globe have published a paper arguing that “cross-cultural cooperation” on AI ethics and governance is vital if the technology is to “bring about benefit worldwide.”
Socitm publishes guidance on AI in social care
The technical guide places a focus on ensuring the interoperability of AI in existing digital architecture to support the integration of health and social care, along with the sustainability and ease of use of the technology.
Experts Predict Artificial Intelligence To Transform Warfare
By David Vergun Artificial intelligence will increasingly — and dramatically — improve systems across the Defense Department, the director of the Joint Artificial Intelligence Center said.
Robotics
Exploration Strategies in Deep Reinforcement Learning
The following strategies could be used for better exploration in deep RL training when neural networks are used for function approximation: Key Exploration Problems Good exploration becomes especially hard when the environment rarely provides rewards as feedback or the environment has distracting...
COVID 19, robots and us May 12 2020
Weekly discussion about "COVID-19, robots and us" on Silicon Valley Robotics with focus this week on changes since this series started.
“How Nations Invest in Robotics Research” – report by International Federation of Robotics
What are the targets of the officially driven government research funding programs and what can we learn from these findings?
Research
Title: ICML 2020 Tutorial on Submodular Optimization: From Discrete to Continuous and Back
School of Engineering and Applied Sciences University of Pennsylvania Philadelphia, PA 19104 Yale Institute for Network Science Yale University New Haven, CT 06520 Brief Description and Outline This tutorial will cover recent advancements in discrete optimization methods for large-scale machine...
Kim receives inaugural dissertation award
Kim’s thesis, titled “Deep Latent Variable Models of Natural Language,” explores the combined use of deep learning and latent variable modeling to provide a better understanding of natural language processing, which is the study of computer interpretations of human language.
[R] Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
Title:Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization Abstract: Most reinforcement learning (RL) algorithms assume online access to the environment, in which one may readily interleave updates to the policy with experience collection using that policy.