AI can already dream up imaginary celebrities, so perhaps it can help the Army imagine revolutionary new engine parts or aircraft, too. DARPA wants entrants to rethink the way complex components are designed by combining recent advances in machine learning with fundamental tenets of math and engineering. AI is increasingly being used to imagine new things, from celebrity faces to clothing (see "The GANfather: The man who's given machines the gift of imagination"). The systems being used to conjure up new ideas are still in their early stages, but they show a path forward. Machine learning is also already used in some areas of design and engineering, but the DARPA project aims to apply it more broadly, and to the crucial task of determining function and form.

An Arizona woman was killed after being struck by a self-driving Uber vehicle, an incident believed to be the first of its kind. But Uber is not the only company that has experienced accidents with driverless cars. Companies like Google, Tesla and General Motors also join the list. Uber has suspended tests of its autonomous cars on public roads in Arizona in the wake of a deadly crash involving one of the vehicles in Tempe, but it's not yet clear if other automakers will follow suit or be forced to do so by the state government. The incident unfolded late Sunday when 49-year-old Elaine Herzberg was struck by a 2017 Volvo XC90 SUV equipped with Uber's autonomous technology as she was walking her bicycle across a four-lane street midblock, outside of any crosswalk.

The U.S. National Highway Traffic Safety Administration and the National Transportation Safety Board said Monday they are sending teams to Tempe, Arizona, to investigate an accident involving a self-driving Uber vehicle that killed a pedestrian.

Deep learning defines a new data-driven programming paradigm that constructs the internal system logic of a crafted neuron network through a set of training data. Deep learning (DL) has been widely adopted in many safety-critical scenarios. However, a plethora of studies have shown that the state-of-the-art DL systems suffer from various vulnerabilities which can lead to severe consequences when applied to real-world applications. Currently, the robustness of a DL system against adversarial attacks is usually measured by the accuracy of test data. Considering the limitation of accessible test data, good performance on test data can hardly guarantee the robustness and generality of DL systems. Different from traditional software systems which have clear and controllable logic and functionality, a DL system is trained with data and lacks thorough understanding. This makes it difficult for system analysis and defect detection, which could potentially hinder its real-world deployment without safety guarantees. In this paper, we propose DeepGauge, a comprehensive and multi-granularity testing criteria for DL systems, which renders a complete and multi-faceted portrayal of the testbed. The in-depth evaluation of our proposed testing criteria is demonstrated on two well-known datasets, five DL systems, with four state-of-the-art adversarial data generation techniques. The effectiveness of DeepGauge sheds light on the construction of robust DL systems.

Robotic arms perform inner frame welds for 2018 Honda Accord vehicles during production at the Honda of America Manufacturing Inc. Marysville Auto Plant in Marysville, Ohio, U.S.. But humans are still an integral part of the assembly process. President Trump might think that the way to protect workers in the U.S. is to wage trade wars with countries that he believes are undercutting the prices of domestically-produced goods. But it is increasingly obvious that the real issue is the latest wave of automation. Of course, reports like those from the McKinsey Global Institute and Oxford University have been warning for a while that many of the jobs we know today are at risk of disappearing as artificial intelligence becomes more sophisticated and widespread.

TEMPE, ARIZONA/SAN FRANCISCO – A woman crossing a street was killed by an Uber self-driving sport utility vehicle in Arizona, police said on Monday, prompting the ride services company to suspend its autonomous vehicle program. The accident in the Phoenix suburb of Tempe dealt a potential blow not only to Uber's strategy but the eventual roll-out of robot cars on public roads. It was the first fatality from a self-driving vehicle, which are being tested around the globe in a high-profile race by global automakers and tech companies expecting that autonomous vehicles will transform transportation and the ride services business. The vehicle was in autonomous mode with an operator behind the wheel at the time of the accident, which occurred overnight Sunday to Monday, Tempe police said. "The vehicle was traveling northbound … when a female walking outside of the crosswalk crossed the road from west to east when she was struck by the Uber vehicle," police said in a statement.

NPR's Mary Louise Kelly speaks with Pennsylvania Attorney General Josh Shapiro about his office's intent to look into how the data of 50 million Facebook users got into the hands of the political data-mining firm, Cambridge Analytica.

The Facebook logo is displayed on an iPad. WASHINGTON -- Revelations that a political data firm may have gained access to the personal information of as many as 50 million Facebook users drew new calls on Capitol Hill on Monday for Facebook CEO Mark Zuckerberg and the heads of other social media companies to testify before Congress about the possible privacy breach. Two members of the Senate Judiciary Committee, Democrat Amy Klobuchar of Minnesota and Republican John Kennedy of Louisiana, asked Chairman Chuck Grassley, R-Iowa., to hold a hearing so senators can publicly grill the CEOs. "Facebook, Google, and Twitter have amassed unprecedented amounts of personal data and use this data when selling advertising, including political advertisements," the senators wrote in a letter to Grassley. "The lack of oversight on how data is stored and how political advertisements are sold raises concerns about the integrity of American elections as well as privacy rights." The congressional calls for additional scrutiny come after Facebook on Friday confirmed that it had suspended a data analytics firm, Cambridge Analytica, from operating on its platforms as it investigated whether the firm failed to delete information that Cambridge Analytica had received through an academic researcher.

At about 10 pm on Sunday evening, a self-driving Uber struck and killed a woman crossing the street in Tempe, Arizona. The crash appears to be the first time a self-driving vehicle has killed someone--and could alter the course of a scantily regulated, poorly understood technology that has the power to save lives and create fortunes. The Tempe Police Department reports the Volvo XC90 SUV was in autonomous mode when the crash occurred, though the car had a human safety driver behind the wheel to monitor the technology and retake control in the case of an emergency or imminent crash. The woman, Elaine Herzberg, was transported to a local hospital, where she died from her injuries. The police department will complete its full report later today.

Legislators for the European Union have announced an investigation after allegations user data of 50 million Facebook accounts were misused. The investigation comes after Christopher Wylie, a whistle-blower who worked for data analytics company Cambridge Analytica, said on Saturday data of the 50 million users were harvested without their knowledge or consent. Antonio Tajani, president of the European Parliament, said on Twitter the allegations, if true, constitute "an unacceptable violation of our citizens' privacy rights". "The European Parliament will investigate fully, calling digital platforms to account," he said. Allegations of misuse of Facebook user data is an unacceptable violation of our citizens' privacy rights.