passenger transportation

MIT finally gives a name to the sum of all AI fears


Now we know what to call it, that vast, disturbing collection of worries about artificial intelligence and the myriad of threats we imagine, from machine bias to lost jobs to Terminator-like robots: "Machine behaviour." That's the term that researchers at the Massachusetts Institute of Technology's Media Lab have proposed for a new kind of interdisciplinary field of study to figure out how AI evolves, and what it means for humans. The stakes are high because there is lots of potential for human ability to be amplified by algorithms, but also lots of peril. Commentators and scholars, they write, "are raising the alarm about the broad, unintended consequences of AI agents that can exhibit behaviours and produce downstream societal effects -- both positive and negative -- that are unanticipated by their creators." There is "a fear of the potential loss of human oversight over intelligent machines," and the development of "autonomous weapons" means that "machines could determine who lives and who dies in armed conflicts."

Viral Twitter exchange highlights privacy concerns with facial recognition technology at airports

Daily Mail

Facial recognition technology at airports is being called into question after a viral Twitter exchange highlighted the privacy concerns associated with the systems, which are rapidly being deployed by airlines across the U.S. Writer MacKenzie Fegan was startled when her photo was taken by facial recognition cameras as she boarded her international JetBlue flight. Fegan confronted JetBlue about the experience in a lengthy Twitter thread, asking questions about how the system operated, but the airline didn't provide many answers. It comes as the U.S. Department of Homeland Security recently said it hopes to expand use of facial recognition at airports to scan 97 percent of all passengers departing the country by 2023. 'I just boarded an international @JetBlue flight,' Fegan wrote on Twitter. 'Instead of scanning my boarding pass or handing over my passport, I looked into a camera before being allowed down the jet bridge.

Elon Musk banks on his self-driving taxi service as Tesla burns through cash


Tesla's robo-taxis are needed more than ever. The company lost $702 million in the first three months of the year and the EV maker doesn't expect to be profitable again until the second half of the year, according to first quarter earnings results reported Wednesday. Revenue was lower than expected at $4.5 billion. CEO Elon Musk had braced for a losing quarter back in February when he announced the $35,000 base price for the Model 3, but he still sounded disappointed on Wednesday's investor call to discuss the sluggish numbers. "The brand is losing steam," Jessica Caldwell, executive director of industry analysis at Edmunds, said in an email.

Tokyo taxis use facial recognition to guess riders' age and gender for targeted advertisements

Daily Mail

Facial recognition technology is being deployed in airports, security cameras and in our phones. Now, Tokyo is using facial recognition in an unexpected way - to serve up targeted advertisements to taxi passengers as they're ferried to their destination, based on their age and gender. The unsettling practice was discovered by Google privacy engineer Rosa Golijan, who posted a photo of a tablet she encountered when hopping into a taxi in Japan. Facial recognition technology is being deployed in airports, security cameras and in our phones. Now, Japan is using the tech to serve up targeted ads to passengers in taxis.

How to Use AI and Video Analytics to Give Your Retail Business a Competitive Edge


Retail has been one of the industries most impacted by the advancements of artificial intelligence (AI). Shopping is becoming more and more frictionless to the point where customers can simply say "order more garbage bags" and their home virtual assistant can do the rest. Product warehouses are highly automated and one day those purchases will be delivered by an autonomous car or drone. Shoppers can now enter a brick and mortar store, or shopping area, scan a credit card or loyalty card, take what they want off the shelves and walk out without having to checkout at a counter. All of these new advancements are made possible by artificial intelligence.

Tesla will launch its first fleet of autonomous robotaxis by 2020

Daily Mail

Elon Musk said he's'very confident' that Tesla will have autonomous robo-taxis on the road as soon as next year. The billionaire tech mogul showed off a Tesla ride-sharing app at the company's Autonomy Day with investors at its Palo Alto, California headquarters on Monday. Not long after Tesla's robo-taxis are operational, Musk also predicts the firm will eliminate the steering wheel and pedals from its vehicles by 2021. Elon Musk said he's'very confident' that Tesla will have autonomous robo-taxis on the road as soon as next year. Pictured is a mock up of Tesla's ride-sharing app, shown at Autonomy Day'I feel very confident predicting autonomous robo-taxis for Tesla next year,' Musk said on stage.

Elon Musk says Tesla robotaxis are coming — and soon


Tesla CEO Elon Musk plans to turn the electric car company's fleet of vehicles into a massive autonomous ride-hailing network. Musk laid out his vision for the self-driving Tesla network -- which he expects to be in operation as early as next year -- at a Monday investor event focused on autonomous driving. It's not the first time he's floated the idea; he tweeted about Tesla robotaxis earlier this month. But his timeline, and much of the other details about the service, should be taken with huge helpings of salt. Competitors that have been testing self-driving taxis for awhile couldn't pull off what Musk is suggesting in the same timeframe.

Punny SUVs at the NY Auto Show and More Car News This Week


On the floor of the New York Auto Show this week, Genesis showed off its sweet little Mint concept, an electric two-seater with a very abbreviated sedan body. The Hyundai luxury arm does not, however, have any plans to put the adorable thing into production--perhaps because, as we learned this week, getting world-changing tech into the market takes a fair amount of elbow grease. Elon Musk's Boring Company is slowly making its way through the necessary paperwork to make its DC to Baltimore Loop concept a real, live thing. Uber is rounding up the oodles of cash it needs to develop self-driving vehicles. "Flying taxi" engineers are trying to get their concepts past now-nervous aviation regulators.

Uber's self-driving cars are still a 'science experiment,' report says


Business Insider reports that Uber's self-driving tech is still far behind competitors like Waymo. The report, which cites interviews with employees in Uber's Advanced Technologies Group (ATG), compares the self-driving cars project to a "science experiment," and says that the cars "perform reliably only on limited well-mapped routes, and aren't making much progress on handling more." That may sound like a harsh assessment, but as BI points out, Uber has had other priorities besides autonomous driving alone. Since the company resumed testing its self-driving cars in December following a fatal accident in Arizona, Uber has been progressing much more slowly. It's possible the cautious approach is frustrating to some employees, who may want to see more rapid improvements in the underlying technology rather than safety-related updates alone.

IBM Brings AI and Advanced Analytics to the Industrial World


IBM (NYSE: IBM) today announced a new portfolio of Internet of Things (IoT) solutions that team artificial intelligence (AI) and advanced analytics to help asset intensive organizations, such as the Metropolitan Atlanta Rapid Transit Authority (MARTA), to improve maintenance strategies. The solution is designed to help organizations to lower costs and reduce the risk of failure from physical assets such as vehicles, manufacturing robots, turbines, mining equipment, elevators, and electrical transformers. IBM Maximo Asset Performance Management (APM) solutions collect data from physical assets in near real-time and provide insights on current operating conditions, predict potential issues, identify problems and offer repair recommendations. Organizations in asset-intensive industries like energy and utilities, chemicals, oil and gas, manufacturing, and transportation, can have thousands of assets that are critical to operations. These assets are increasingly producing enormous amounts of data on their operating conditions.