1. Are you happy to share your health data to benefit others?
From automated eye scans to analysing the cries of new-born babies, faster drug development to personalised medicine, artificial intelligence (AI) promises huge advances in the field of healthcare. But major challenges remain.
Author: Matthew Wall
Read More On: BBC News
2. The rise of robots-as-a-service
Robotics-as-a-service (RaaS) is about to eat the world of work. While much of the attention in the world of automation technology has been focused on self-driving cars, many other markets traditionally dominated by human-in-the-loop solutions are reaching a point of inflection, enabling RaaS solutions to take over.
Author: Hooman Radfar
Read More On: Venture beat
3. How AI Is Helping Keep You Safe Online and In the Real World
Artificial Intelligence, or AI, is something of a buzzword of late, but it is a very powerful tool in our digital age. One of its most important roles is security – both in our digital and real-world lives.
Author: Christopher McFadden
Read More On: Interesting Engineering
4. AI is changing the entire nature of compute
The world of computing, from chips to software to systems, is going to change dramatically in coming years as a result of the spread of machine learning. We may still refer to these computers as “Universal Turing Machines,” as we have for eighty years or more.
Author: Tiernan Ray
Read More On: ZD Net
5. AI and machine learning dominate World Economic Forum’s list of 2019 Technology Pioneers
The World Economic Forum today announced its list of 56 companies selected as Technology Pioneers, and this year’s class demonstrates the growing embrace of artificial intelligence and machine learning across a broad range of sectors.
Author: Chris O’Brien
Read More On: Venture Beat
6. Tara.ai, which uses machine learning to spec out and manage engineering projects, nabs $10M
Artificial intelligence has become an increasingly important component of how a lot of technology works; now it’s also being applied to how technologists themselves work.
Author: Ingrid Lunden
Read More : Tech Crunch
7. Facebook open-sources DLRM, a deep learning recommendation model
Facebook today announced the open source release of Deep Learning Recommendation Model (DLRM), a state-of-the-art AI model for serving up personalized results in production environments. DLRM can be found on GitHub, and implementations of the model are available for Facebook’s PyTorch, Facebook’s distributed learning framework Caffe2, and Glow C++.
Author: Khari Johnson
Read More On: Venture Beat
8. MIT develops tiny ‘walking’ motor that helps more complex robots self-assemble
It’s becoming increasingly apparent that robots of the future will be less “Wall-E” and more “Voltron meets ant swarm” – case in point, this new ambulatory motor created by MIT professor Neil Gershenfeld and his students at the school. The motor above is little more than a magnet and coil with some structural parts, but it can “walk” back and forth or make the gears of a more complicated machine move back and forth.
Author: Darrell Etherington
Read More On: Tech crunch
9. Big Data Is Dead. Long Live Big Data AI.
In December 2014, I asked whether we were at the beginning of “the end of the Hadoop bubble.” I kept updating my Hadoop bubble watch (here and here) through the much-hyped IPOs of Hortonworks and Cloudera.
Author: Gil Press
Read More On: Forbes
10. With little training, machine-learning algorithms can uncover hidden scientific knowledge
Sure, computers can be used to play grandmaster-level chess (chess_computer), but can they make scientific discoveries? Researchers at the U.S. Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) have shown that an algorithm with no training in materials science can scan the text of millions of papers and uncover new scientific knowledge.