1. Google Brain built a translator so AI can explain itself
A Google Brain scientist built a tool that can help artificial intelligence systems explain how they arrived at their conclusions — a notoriously tricky task for machine learning algorithms.
The tool, called Testing with Concept Activation Vectors or TCAV for short, can be plugged into machine learning algorithms to suss out how much they weighted different factors or types of data before churning out results, Quanta Magazine reports.
With TCAV, people using a facial recognition algorithm would be able to determine how much it factored in race when, say, matching up people against a database of known criminals or evaluating their job applications. Read More
2. Empowering people with AI with Dr. Cecily Morrison
Episode 60, January 23, 2019
You never know how an incident in your own life might inspire a breakthrough in science, but Dr. Morrison gives us an overview of what she calls the “pillars” of inclusive design, shares how her research is positively impacting people with health issues and disabilities, and tells us how having a child born with blindness put her in touch with a community of people she would otherwise never have met, and on the path to developing Project Torino, an inclusive physical programming language for children with visual impairments.
Host: Cecily Morrison, welcome to the podcast. Read More
3. Increasing skepticism against robots
Robots performing in surgeries, robots in automobile production, and robots in caregiving.
More and more robots in everyday life. But how do people feel about robots. Read More
4. An algorithm that mimics our tribal instincts could help AI learn to socialize
Humans are instinctively tribal creatures. Game-playing AI agents also require an understanding of the relationship landscape to know whom to cooperate and compete with.
Inspired by this ability, the researchers developed a new machine-learning algorithm to figure out the relationships among multiple agents through a limited number of observations. Read More
5. The future of China’s AI industry is in the hands of just three companies
Baidu, Alibaba, and Tencent, the three Chinese tech giants loosely equivalent to Google, Amazon, and Facebook, are not just developing and deploying AI themselves. Their deep pockets have also funded a broad range of AI companies, focused on everything from smart cities to finance to education. com published a graphic that illustrates the full extent of their involvement across China’s AI industry. Read More
6. Combating Fake News: A Survey on Identification and Mitigation Techniques
n/a Read More
7. DARPA announces plans to build conscious robots using insect brains –
There’s a field called Neurobiotics that, unsurprisingly, many people haven’t heard of that I came across recently where scientists try to merge animal brains with robots, a recent example of this was when a team from the US merged a worm brain with a Lego robot to successfully create a robot that reacted and moved according to rudimentary stimuli. Because they believe they could be used to create “efficient new models for Artificial Intelligence (AI), but also because they could be used to explore the meaning of consciousness. ’”
The US Defense Advanced Research Projects Agency (DARPA) is famed for funding obscure and bleeding edge research projects, such as the ones that led to the early internet, as well as others today that involve turning animals and plants into living sensor networks, bringing crops back from the dead, and finding new ways to quickly cure pandemic outbreaks. Read More