Automobiles & Trucks


Team of 'white hat' hackers found bugs in Amazon Echo and Galaxy S10

USATODAY - Tech Top Stories

A team of leading security researchers was recently crowned top hackers after finding vulnerabilities across multiple devices including an Alexa-powered Amazon Echo and a Samsung Galaxy S10. Amat Cama and Richard Zhu, who go by Team Fluoroacetate, compromised the devices at an international bug bounty event called Pwn2Own in Tokyo late last week. The event, hosted by Zero Day Initiative, is home to "white hat" hackers who are paid top dollar if they find previously unknown bugs in gadgets supplied by big tech companies. The vulnerability Cama and Zhu found in the Echo allowed them to "take control" of the gadget, according to Pwn2Own. And finding the bug earned them $60,000.


Software for Autonomous Cars Market is Thriving Worldwide Alphabet, Delphi Automotive, Intel, NVIDIA – The Market Journal

#artificialintelligence

Latest Strategic Study Released on Global Software for Autonomous Cars Market with forecast till 2025, the report comprises of historical data and estimation of the Global Software for Autonomous Cars Market. The following Industry is shown to progress with a noteworthy rise in the Compound Annual Growth Rate (CAGR) during the forecast period owing to various factors driving the market. Some of the key players mentioned in this research are "Alphabet, Delphi Automotive, Intel, NVIDIA, QNX Software Systems, Tesla, Apple, Autotalks, Cisco, Cohda Wireless, Covisint, DeepMap & Nauto", etc. Rapid Growth Factors In addition, the market is growing at a fast pace and the report shows us that there are a couple of key factors behind that. The most important factor that's helping the market grow faster than usual is the tough competition. Business Strategies Key strategies in theGlobal Software for Autonomous Cars Market that includes product developments, partnerships, mergers and acquisitions, etc discussed in this report.


Elon Musk's plan to replicate the human brain with AI just received $1bn from Microsoft

#artificialintelligence

Microsoft has invested $1 billion in the Elon Musk-founded artificial intelligence venture that plans to mimic the human brain using computers. OpenAI said the investment would go towards its efforts of building artificial general intelligence (AGI) that can rival and surpass the cognitive capabilities of humans. "The creation of AGI will be the most important technological development in human history, with the potential to shape the trajectory of humanity," said OpenAI CEO Sam Altman. "Our mission is to ensure that AGI technology benefits all of humanity, and we're working with Microsoft to build the supercomputing foundation on which we'll build AGI." The two firms will jointly build AI supercomputing technologies, which OpenAI plans to commercialise through Microsoft and its Azure cloud computing business.


Most Model 3 Owners Say AutoPilot Makes Them Safer

#artificialintelligence

According to a survey released by Bloomberg, the majority of Tesla Model 3 owners believe Autopilot makes them safer. The survey includes responses from 5,000 owners. Although the overall sense is that the software improves safety, there were instances when drivers were unhappy with how it operated. Self-driving technologies are trickling down into more cars every model year. Tesla hasn't shied away from rolling them out across its lineup.


The Man & Machine Issue: Artificial Intelligence vs. Human Behavior CleanTechnica

#artificialintelligence

The world is currently discussing if artificial systems are good or bad, will help us or destroy us, and if they will ever function or not, and by doing that people make the mistake of actually trying to answer the wrong question. As of today, the biggest question about artificial intelligence is not the system itself, but the biggest challenge is the interface consequences between the human and the machine, or to be more precise the system existent out of two elements -- a carbon and a silicon body. We all have learned in our life how difficult, dangerous, or even fatal the coordination, cooperation, and operation between these two objects -- the human and a machine -- can be, and some of us may have been hurt by it or even worse. At least I can say I have been many times, and if you read the news today you will certainly find many other examples. This has been true since humans invented the first machines moved by any energy form, be it animals, steam, or oil, and it is true for the new era we are entering -- a time when software-driven artificial intelligence performs better in defined areas than a human will ever be.


The Real Moral Dilemma of Self-Driving Cars

#artificialintelligence

The advent of self-driving cars revived the decades-old philosophical conundrum known as the "trolley problem." The basic setup is this: A vehicle is hurtling toward a group of five pedestrians, and the only way to save them is to swerve and run over a single pedestrian instead. For philosophers and psychologists, it's pure thought experiment -- a tool to tease out and scrutinize our moral intuitions. Most people will never face such a stark choice, and even if they did, studies suggest their reaction in the moment would have little to do with their views on utilitarianism or moral agency. Self-driving cars have given the problem a foothold in the real world.


Yes, hyena robots are scary. But they're also a cunning marketing ploy

The Guardian

Earlier this year, videos of a robot being kicked, hit with a chair, and shot at by its human owners spread online. Created by an LA-based production company, Corridor Digital, the videos were a parody of those released by Boston Dynamics, a company that has been making robots since 1992. You've almost certainly seen their videos. A robotic dog takes on a human in a tug of war. Sometimes the robots are cute, like the Sand Flea, which flicks itself effortlessly over 30ft walls.


Hello, Robot review – where human and machine don't quite meet

#artificialintelligence

There was a time when Nineteen Eighty-Four required some suspension of disbelief: it didn't seem possible, in the first several decades after the book's publication, that any government or institution would have the resources and organisation to put transmitting and receiving devices in every home and then monitor the information they captured. We now know how very plausible that is. What Orwell didn't guess was that people would, at the prompting of Amazon and Apple, actually invite such things into their homes. No state programme of installation was needed. That the future has become the present, in shapes that weren't quite predicted, is part of the premise of Hello, Robot, an exhibition now showing at the V&A Dundee.


How terrible software design decisions led to Uber's deadly 2018 crash

#artificialintelligence

Radar in Uber's self-driving vehicle detected pedestrian Elaine Herzberg more than five seconds before the SUV crashed into her, according to a new report from the National Safety Transportation Board. Unfortunately, a series of poor software design decisions prevented the software from taking any action until 0.2 seconds before the deadly crash in Tempe, Arizona. Herzberg's death occurred in March 2018, and the NTSB published its initial report on the case in May of that year. That report made clear that badly written software, not failing hardware, was responsible for the crash that killed Herzberg. But the new report, released Tuesday, marks the end of NTSB's 20-month investigation.


BlackBerry's QNX OS to anchor Baidu's Apollo autonomous driving platform

#artificialintelligence

BlackBerry and Baidu have announced a collaboration through which the Canadian and Chinese companies will team up for a number of connected and autonomous vehicle initiatives. The duo have signed a statement of intent to make BlackBerry's QNX operating system the basis for Baidu's previously announced Apollo autonomous driving platform. As part of the tie-up, Baidu said it plans to integrate a number of its own software products into BlackBerry's QNX Car infotaintment platform, including CarLife, which integrates connected cars with smartphones; Baidu's DuerOS voice interaction system; and high-definition maps. "We aim to provide automakers with a clear and fast path to fully autonomous vehicle production, with safety and security as top priorities," said Li Zhenyu, general manager of Baidu's intelligent driving group. "By integrating the BlackBerry QNX OS with the Apollo platform, we will enable carmakers to leap from prototype to production systems. Together, we will work toward a technological and commercial ecosystem for autonomous driving, intelligent connectivity, and intelligent traffic systems."