You can still participate if you’d like to have your say on the issues and guide the new MPs towards the world you’d like to see. Represent.me will be sending the results to all the new MPs in the next few weeks to show what voters care about in detail. You can find the survey here.
Go forth and get involved,
Tabitha UntilTheBotsTakeOver Goldstaub
P.S. 11 days till CogX. Be there or be intelligence artificial.
HR- Beamery: Companies are moving away from traditional candidate management and applicant tracking systems, instead, turning to machine-learning enabled ones to take “smarter” hiring decisions. A case in point is Beamery, a Candidate Relationship Management (CRM) software that helps enhance the candidate experience.
Health- Biobeats: A study has found that one in two City workers in London were in fact more stressed when they got home than they were at work. It was commissioned by Biobeats, which calls itself “a digital health and artificial intelligence business”, in association with the University of Sussex and was based on “heart rate variability”.
Legal- Luminance has just been chosen by top-ranked Stockholm law firm Cederquist which will use its market-leading AI technology to improve the efficiency of its M&A due diligence. Founded in 2010 by mathematicians from the University of Cambridge, Luminance is quickly expanding its client base across Europe and further afield, “demonstrating the benefits of our technology for lawyers in all jurisdictions,” according to Luminance CEO EmilyFoges.
Microsoft confirmed yesterday that it has acquired Hexadite, an Israeli startup that uses AI to identify and protect against attacks. The idea is to expand Microsoft’s existing security portfolio with an infusion of new technology based around new innovations in areas like AI and machine learning.
“Our vision is to deliver a new generation of security capabilities that helps our customers protect, detect and respond to the constantly evolving and ever-changing cyberthreat landscape,” said Terry Myerson, executive vice president, Windows and Devices Group, Microsoft, in a statement. “Hexadite’s technology and talent will augment our existing capabilities and enable our ability to add new tools and services to Microsoft’s robust enterprise security offerings.”
From smart thermostats that intelligently control the temperature in a room to smart devices like the Roomba vacuum cleaner that hoover up dirt, connected devices are capable of carrying out all sorts of functions in the places we sleep. Here’s one we’ve not come across before, though: A Wi-Fi enabled system smart device that’s designed to alert you of any bedbug outbreaks in the making.
Developed by the company Delta Five, the currently available Automated Insect Monitoring System takes the form of a small, 3-inch box that monitors for insects around the clock. “Given our initial focus on hospitality, and our core competencies in robotics, unattended sensors, computer vision, and machine intelligence, we recognized a significant gap between available products and actual need as it relates to bedbugs,” Jason Janét, Delta Five’s CEO, told Digital Trends.
This week, IBM announced the launch of Science for Social Good, a new program that partners IBM researchers with postdoctoral academic fellows and nonprofits to take on societal issues through data.
With the new initiative, IBM announced 12 projects planned for 2017. Each Science for Social Good project aligns with one or more of the 17 Sustainable Development Goals, the United Nations’ blueprint to address some of the globe’s biggest inequalities and threats by the year 2030. Six pilot projects were conducted in 2016 in order to develop the Science for Social Good initiative. These projects covered a broad range of topics, such as health care, humanitarian relief, and global innovation.
The first open road, driverless on-demand mobility service in EU is set to be tested in Paris-Saclay and in Rouen.
Yann Leriche, chief performance officer and lead of the B2C business line at Transdev group said, “With Delphi’s expertise in driverless technology, we will accelerate our capabilities to develop a global autonomous transportation system, from client interface to vehicle intelligence. Combining the strengths of our two companies, leaders in their field, will enable us to introduce innovative driverless services in our current and future operations, confirming the position of Transdev as a pioneer in integrating autonomous transport systems into global mobility networks.”
The Boeing Co. says it’s on a path that could ultimately lead to self-flying commercial passenger airplanes, starting with simulations and ground-based experiments this year and progressing to flight tests by 2019.
Now, Facebook’s AI and machine-learning teams have developed methods for training data sets—the procedure that’s used to teach visual recognition models to distinguish between large numbers of images—that are faster than anything else available today. The company said it has come up with a system that’s capable of training 40,000 images per second, making it possible to train on a 1k data set—the industry standard training set—in less than sixty minutes, and with no loss of quality. Until now, that was something that could take days, or even months to do.
Keeping with its philosophy of sharing its work freely and widely, Facebook says it’s open-sourcing the hardware stack it developed to achieve the improved training times. And that could benefit many companies that are taking in massive amounts of visual data and need to process it quickly.