Workday ups their #ML game. The dangers of autonomous vehicles. AL + ML + anti-money laundering. http://cognitionx.com/news-briefing/
In order to democratisate AI and unlock its potential, we must have people with the skills needed to build AI.
To that end, we were happy to read about Kaggle’s launch of their Hands-On Data Science Education, a free online course which teaches you the basics to confidently start a new career or compete in Kaggle challenges.
I’m excited to be heading to Davos next week to learn from global leaders and thinkers about reskilling in an age of automation, the democratisation of AI, and more. If any of you will be there, I’d love to meet up.
Tabitha UntiltheBotsTakeOver Goldstaub
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Workday announced yesterday that it has acquired SkipFlag, makers of a so-called AI knowledge base that builds itself from a company’s internal communications. Financial terms of the deal were not disclosed.
As Workday CTO Joe Korngiebel explained in the company’s acquisition announcement,SkipFlag “uses deep learning to help people make sense of mountains of data across multiple applications used by today’s workforce.”
+Looking to learn more about the impact of AI on HR and how you can improve your own HR department? Check out our research subscription service to stay in the know.
Redi is a leading expert in how artificial intelligence can improve our well-being. She’s currently the Senior Data Scientist at Exact, where she leads the Data Science Core Team.
After obtaining her PhD from the University of Genoa (Italy) with an award-winning thesis on machine learning for visual quality displays, Dr. Redi had tenure at Delft University of Technology’s Intelligent Systems Department and was a Faculty Fellow at IBM’s Benelux Center for Advanced Studies. Ask your questions now, and don’t forget to check back for her answers on January 18th!
In DeepMind’s latest paper, published in the journal Scientific Reports, they use a branch of game theory to shed light on understanding how different systems will interact with one another. In particular, they examine how two intelligent systems behave and respond in a particular type of situation known as an asymmetric game, which include Leduc poker and various board games such as Scotland Yard.
Asymmetric games also naturally model certain real-world scenarios such as automated auctions where buyers and sellers operate with different motivations. Our results give us new insights into these situations and reveal a surprisingly simple way to analyse them. While our interest is in how this theory applies to the interaction of multiple AI systems, we believe the results could also be of use in economics, evolutionary biology and empirical game theory among others.
We are looking for women who don’t have an IT background and yet are getting down with robots. Could that be you?! If you are out there (like Georgia Lewis Anderson featured yesterday in the BBC’s Women’s Hour creating robot personalities), please get in touch.
Researchers at the University of Washington were looking for a way to eliminate those side effects, but the solution they came up with is much more than just a drug delivery vehicle. They created a hydrogel material that actually operates like a tiny computer system, using inputs from the environment around it to decide when to release its cargo. The research was published Monday in the journal Nature Chemistry.
“The modular strategy that we have developed permits biomaterials to act like autonomous computers,” UW chemical engineering assistant professor Cole DeForest, who led the team that designed the material, said in a news release. “These hydrogels can be programmed to perform complex computations based on inputs provided exclusively by their local environment. Such advanced logic-based operations are unprecedented, and should yield exciting new directions in precision medicine.”
Steve Culp (Accenture) writes that despite its potential, adoption of AI and ML within Anti-Money Laundering has been relatively slow. This is due, in part, to the limited understanding of how AI and ML could be applied within compliance programs, and to the fact that regulators and compliance officers are often concerned that AI and ML are “black boxes” whose inner workings are not clearly understood.
He discusses how in order to implement ML as part of a transaction monitoring solution, firms need to get key elements in place. These include:
Tim Bradshaw writes in the FT (paywall) that autonomous vehicles are in danger of being turned into “weapons”, leading governments around the world to block cars operated by foreign companies, the head of Baidu’s self-driving car programme has warned. Qi Lu, chief operating officer at the Chinese internet group, said security concerns could become a problem for global carmakers and technology companies, including the US and China.
“It has nothing to do with any particular government — it has to do with the very nature of autonomy,” he said on the sidelines of the Consumer Electronics Show last week. “You have an object that is capable of moving by itself. By definition, it is a weapon.”
Alston Ghafourifar (Entefy) writes about how human judgment will remain central to business decisions for some time to come. As AI systems become increasingly powerful tools in corporate arsenals, he writes, we must ensure that those tools support our ethics. Here are some ways to do that before you even write the first line of code.