The comments, during an on stage interview Monday at a Wired technology conference in San Francisco, followed reports several weeks ago about Google's secret China search project that sparked a backlash from human-rights advocates and Washington lawmakers, who warn the effort could aid a repressive regime. Google, a unit of Alphabet Inc., also faces pressure from its own employees to only do work that adheres to the company's values. In August, hundreds of employees signed a letter asking Google to give rank-and-file workers a voice in the ethics-review process and the ability to opt out of working on certain projects. Google decided in 2010 to withdraw its search engine from China to protest government censorship and attempts to hack into the Gmail accounts of Chinese human-rights activists. Google co-founder Sergey Brin then described the government as having the "earmarks of totalitarianism" of the Soviet Union, where he was born.
Kate Saenko had a problem. Her AI algorithms tended to identify scientists as men and kitchen workers as women, and she didn't know why. An associate professor at Boston University's Department of Computer Science, Kate had been using deep learning to automate the captioning of images and videos. And to be true, the results were spectacular. Neural networks, the software structure that underlies deep learning, proved to be very good at generating human-like descriptions of digital imagery.
A dating app set up to help supporters of President Donald Trump find each other in America's confusing dating landscape hit a snag on its first day in operation when a computer security specialist was able to download every piece of data on its servers. That included the first 1,600 users' photos and personal messages between people chatting online. Instead of disrupting the world of'DonaldDaters,' however, French security researcher Baptiste Robert blew the whistle publicly on Monday just hours after the product went live. 'You should not use this app,' he tweeted in a message to Trump fans. 'In 5 minutes, I managed to get: - the list of all the people registered - name - Photo - personal messages - token to steal their session.'
The newly formed White House Select Committee on Artificial Intelligence announced Wednesday that it will begin updating the National Artificial Intelligence Research and Development Strategic Plan. To kick off this task, the committee -- housed inside the National Science and Technology Council (NSTC) at the Office of Science and Technology Policy -- has issued a request for information seeking feedback on "whether the strategic plan should be revised and, if so, the ways in which it may be improved." At the core of the committee's interest in updating the plan, which was first published in 2016, is the belief that AI technology has advanced significantly in the past two years, and that U.S. policy around the technology should follow suit. "Given the rapid pace of AI research, it is critical that U.S. R&D investments remain at the forefront of science and technology," OSTP deputy CTO Michael Kratsios said in a statement. "By updating our strategic plan for AI R&D, we help ensure that the United States continues to lead in cutting edge AI innovations that address the most pressing AI challenges of today."
Facial recognition is about to become an increasingly common security measure at US airports. The Transportation Security Administration has published a roadmap for how it plans to integrate new biometric data systems into airports across the country. This includes plans to use fingerprints and facial scans at airport checkpoints, potentially leading to shorter lines. It could also mean travelers may be able to leave their passports at home in the future. Facial recognition is about to become more common at US airports.
Donald Daters, a new dating app for Trump supporters, has leaked users' personal information on the day of its launch. The app, which markets itself as an "American-based singles community connecting lovers, friends, and Trump supporters alike," had more than 1,600 users when it launched on Monday, according to security researcher Elliot Alderson, who was reportedly able to download the entire user database. Alderson shared his findings in a tweet, stating that the data he managed to gain access to included users' names, profile pictures, device types, private messages and access tokens that can be used to log into their accounts. You should not use this app. The Donald Daters app was founded by Emily Moreno--a former aide to Sen. Marco Rubio--who confirmed the leak on Tuesday.
Zero-day vulnerabilities and fileless attacks are now deemed the most dangerous threats to the enterprise. According to a study conducted by the Ponemon Institute and sponsored by Barkly, called the "2018 State of Endpoint Security Risk report," nearly two-thirds of enterprise players have been compromised in the past 12 months by attacks which originated at endpoints, which the organization says is a 20 percent increase year-on-year. Such attacks can prove costly, with the average company enduring a cost of $7.12 million, or $440 per endpoint. Small to medium-sized businesses, which may not have the same cybersecurity solutions or teams in place due to investment limitations, suffer more -- with the same damage cost of endpoints close to double at $763. In total, the average cost of a successful endpoint-based attack has increased by roughly 42 percent year-on-year.
Aerospace company Airbus is to draw up plans for Europe's contribution to a base orbiting the moon. The Gateway is an international project that envisages a lunar staging post for manned space missions to the moon or Mars. The European Space Agency (ESA) has commissioned Airbus, which has a major space facility in Stevenage, to develop key concepts for the station over the next 15 months. The first study will look at designs for a habitation and research module measuring around 6.5 metres (21ft) and weighing nine tonnes. Airbus will also consider plans for refuelling, docking and telecommunications infrastructure.
Algorithms based on machine learning and deep learning, intended for use in diagnostic imaging, are moving into the commercial pipeline. However, providers will have to overcome multiple challenges to incorporate these tools into daily clinical workflows in radiology. There now are numerous algorithms in various stages of development and in the FDA approval process, and experts believe that there could eventually be hundreds or even thousands of AI-based apps to improve the quality and efficiency of radiology. The emerging applications based on machine learning and deep learning primarily involve algorithms to automate such processes in radiology as detecting abnormal structures in images, such as cancerous lesions and nodules. The technology can be used on a variety of modalities, such as CT scans and X-rays.
Longueuil, Quebec, October 15, 2018 --The Canadian Space Agency (CSA) is positioning Canada's space community to maintain its global leadership in space robotics. Accordingly, the CSA announced today that it is investing $1.6 million in two concepts for lunar rovers that would use artificial intelligence to make their own decisions. Canadian businesses MDA, a Maxar company, and Canadensys Aerospace Corporation have each been awarded a contract worth $800 000 to develop an innovative concept for the CSA. The CSA made the announcement at the start of a three-day event to promote Canadian space capabilities to major space companies, including Blue Origin, Airbus Defense and Space and Moon Express. As part of ongoing discussions with the international space community to prepare options for Canada's participation in the next chapter of space exploration, the CSA recently signed a Memorandum of Understanding with Moon Express, a US-based company.