Apple is planning a "special event" on 25 March, where the tech giant is widely expected to unveil a new video streaming service to potentially rival Netflix. Taking place at the Steve Jobs Theatre at the company's headquarters in Cupertino, California, an invitation for the event included the phrase "it's showtime" in an apparent reference to a new film and video platform, though no official details have yet been revealed. There have nonetheless been a slew of leaks and rumours that usually come with major Apple events. Other potential announcements are thought to include a paid-for news subscription service. We'll tell you what's true.
Volvo is to install technology in its self-driving cars that can detect if the driver is drunk. The Swedish carmaker said that from next year all new vehicles will have cameras and sensors to spot if the motorist is showing signs of being over the limit. Cars will slow down by before ringing the Volvo call centre where a member of the customer service will speak to the driver and take over the car if necessary. The self-driving vehicle may even park the car by itself if the driver is unresponsive. The new safety features are part of the manufacturers pledge to eliminate all passenger deaths.
Humans see things in a very similar way to computers, according to a study which quizzed people on images and asked them to'think like a machine'. Participants were shown blurry images and asked to choose between A or B of what they assumed the AI may have picked up. They found that 75 per cent of the time humans and machines picked the same answer, showing that both can be equally tricked. The findings demonstrate how advances in artificial intelligence continue to narrow the gap between the visual abilities of people and machines. Computers, like those that power self-driving cars, can be tricked into mistaking random scribbles for trains, fences and even school busses.
Food waste could become a thing of the past thanks to an AI powered smart bin that let's you know the type of items you throw away most regularly. The system uses a camera, a set of smart scales and the same type of machine learning technology found in self-driving cars. It comes pre-programmed with common items and learns to recognise different foods being thrown away regularly. It uses this information to calculate the financial and environmental cost of this wasted food, so that you can tailor your next food order accordingly. The smart bin is currently aimed at commercial kitchens but could one day be a common feature in people's homes, the firm hopes.
Techno-optimist prognosticators will tell you that driverless trucks are just around the corner. They will also gently tell you--always gently--that yes, truck driving, a job that nearly 3.7 million Americans perform today, is perhaps on the brink of extinction. A startup called Peloton Technology sees the future a bit differently. Based in Mountain View, California, the eight-year-old company has a plan to broadly commercialize a partially automated truck technology called platooning. It would still depend on drivers sitting in front of a steering wheel, but it would be more fuel efficient and, hopefully, safer than truck-based transportation today.
Tesla filed a lawsuit this week against four former employees for allegedly stealing trade secrets and providing them to a rival company. According to the complaint filed with the US district court for Northern California, the ex-Tesla workers gave confidential information to autonomous vehicle start-up Zoox. The documents allegedly allowed the company to accelerate the development of its technology by cribbing off of Tesla's proprietary work. According to Tesla, the four former employees violated the terms of their contracts by forwarding documents and other information from work email addresses to personal accounts. The files included inventory documents, company schematics and other proprietary pieces of information.
Autonomous vehicle development is a time and resource-intensive business, requiring dozens of test vehicles, thousands of hours of data collection and millions of miles of driving to hone the artificial brains of the cars of tomorrow. What if you could do most of that in the cloud? That's the question Nvidia hopes to answer with the release of its Nvidia Drive Constellation testing platform for self-driving cars. The announcement came during the keynote address at Nvidia's 2019 GPU Technology Conference in San Jose Monday. Drive Constellation is, basically, a simulation and validation platform that allows automakers and developers to test their autonomous vehicles and technologies in a virtual environment that lives in a specially-designed cloud server.
Once the most popular website on the planet, MySpace saw its dawdling decline come crashing to a conclusion on Monday, after it admitted that 50 million songs from 14 million artists over 12 years had been wiped from its platform. MySpace may have lost its battle with Facebook to be the world's most popular social network years ago – with Mark Zuckerberg's creation now holding a near-monopoly over its rivals – but MySpace had since pivoted to be a place for musicians to share and promote their work. It helped launch a generation of performers, including Lily Allen and the Arctic Monkeys, but MySpace has now told its users that any music saved to its site between 2003 and 2015 would be impossible to recover. We'll tell you what's true. You can form your own view.
If there's one thing Donald Trump is good at it's stoking the fear of the unknown. And he's now extended that to being scared of driverless cars, according to a story from Axios. Jonathan Swan and Joann Muller walk us through several things Trump has apparently said about self-driving cars -- and none of them are good. "Can you imagine, you're sitting in the back seat and all of a sudden this car is zig-zagging around the corner and you can't stop the f---ing thing?" Self-driving cars "will never work."
Due to the complication of the presented problem, intelligent algorithms show great power to solve the parts logistics optimization problem related to the vehicle routing problem (VRP). However, most of the existing research to VRP are incomprehensive and failed to solve a real-work parts logistics problem. In this work, towards SAIC logistics problem, we propose a systematic solution to this 2-Dimensional Loading Capacitated Multi-Depot Heterogeneous VRP with Time Windows by integrating diverse types of intelligent algorithms, including, a heuristic algorithm to initialize feasible logistics planning schemes by imitating manual planning, the core Tabu Search algorithm for global optimization, accelerated by a novel bundle technique, heuristically algorithms for routing, packing and queuing associated, and a heuristic post-optimization process to promote the optimal solution. Based on these algorithms, the SAIC Motor has successfully established an intelligent management system to give a systematic solution for the parts logistics planning, superior than manual planning in its performance, customizability and expandability.