1. Top minds in machine learning predict where AI is going in 2020
AI is no longer poised to change the world someday; it’s changing the world now. As we begin a new year and decade, VentureBeat turned to some of the keenest minds in AI to revisit progress made in 2019 and look ahead to how machine learning will mature in 2020.
Author: Khari Johnson
Read More On: VentureBeat
2. Rise of #MeTooBots: scientists develop AI to detect harassment in emails
Artificial intelligence programmers are developing bots that can identify digital bullying and sexual harassment. Known as “#MeTooBots” after the high-profile movement that arose after allegations against the Hollywood producer Harvey Weinstein, the bots can monitor and flag communications between colleagues and are being introduced by companies around the world.
Author: Isabel Woodford
Read More On: The Guardian
3. US announces AI software export restrictions
The US will impose new restrictions on the export of certain AI programs overseas, including to rival China. The ban, which comes into force on Monday, is the first to be applied under a 2018 law known as the Export Control Reform Act or ECRA. This requires the government to examine how it can restrict the export of “emerging” technologies “essential to the national security of the United States” — including AI. News of the ban was first reported by Reuters.
Author: James Vincent
Read More On: The Verge
4. The Top 10 Artificial Intelligence Trends Everyone Should Be Watching In 2020
Artificial Intelligence (AI) has undoubtedly been the technology story of the 2010s, and it doesn’t look like the excitement is going to wear off as a new decade dawns. The past decade will be remembered as the time when machines that can truly be thought of as “intelligent” – as in capable of thinking, and learning, like we do – started to become a reality outside of science fiction.
Author: Bernard Marr
Read More On: Forbes
5. Will AI take over? Quantum theory suggests otherwise
Will artificial intelligence one day surpass human thinking? The rapid progress of AI, coupled with our standard fear of machines, has raised concerns that its abilities will one day start to grow uncontrollably, eventually leading it to take over the world and wipe out humanity if it decides we are an obstacle to its goals. This moment is usually referred to as the “AI singularity”.
Read More On: The Conversation
6. Deep learning vs. machine learning: Understand the differences
Machine learning and deep learning are both forms of artificial intelligence. You can also say, correctly, that deep learning is a specific kind of machine learning. Both machine learning and deep learning start with training and test data and a model and go through an optimization process to find the weights that make the model best fit the data.
Author: Martin Heller
Read More on: InfoWorld
7. Warner Bros. signs AI startup that claims to predict film success
Storied film company Warner Bros. has signed a deal with Cinelytic, an LA startup that uses machine learning to predict film success. A story from The Hollywood Reporter claims that Warner Bros. will use Cinelytic’s algorithms “to guide decision-making at the greenlight stage,” but a source at the studio told The Verge that the software would only be used to help with marketing and distribution decisions made by Warner Bros
Author: James Vincent
Read More On: The Verge
8. WHAT CHESS CAN TEACH US ABOUT THE FUTURE OF AI AND WAR
This article was submitted in response to the call for ideas issued by the co-chairs of the National Security Commission on Artificial Intelligence, Eric Schmidt and Robert Work. It addresses the first question (part a.), which asks how will artificial intelligence affect the character and/or the nature of war.
Author: Andrew J Lohn
Read More On: War On The Rocks
9. MIT Develops Machine-Learning Tool to Make Code Run Faster
MIT researchers have invented a machine-learning tool that predicts how fast computer chips will execute code from various applications. To get code to run as fast as possible, developers and compilers — programs that translate programming language into machine-readable code — typically use performance models that run the code through a simulation of given chip architectures.
Read More On: SciTechDaily
10. The Future of Mobility Solutions Will Be Enhanced by Big Data
CES 2020 is kicking off into full gear in Las Vegas this week and that means the world’s top technology minds have gathered in one place to share their vision of the future. In the mobility space, particularly with autonomous vehicles and electric vehicles, advanced or new technology is playing a major role in shaping the vision of this industry.