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How artificial intelligence is driving the future of autonomous cars

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Over the past decade, the United States has seen an explosion of autonomous vehicle technology that has swept across the auto industry. This wave of progress encompasses all aspects of computer technology, software engineering, and thought-leaders from major automakers like Tesla, BMW, Ford, Audi, and even Google. While many have only started hearing about autonomous technology recently, self-driving car research has been going on now for over 45 years. One of the earliest research publications on autonomous vehicle technology can be found in an article IEEE Spectrum from 1969. In the featured article, lead engineers Robert E. Fenton and Karl W. Olson hypothesized that the future of automated vehicles would rely on "smart infrastructure" that would guide the cars on roadways.


Elon Musk hires AI that 'reports directly' to him 24/7

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Musk, who has crossed swords with Facebook CEO Mark Zuckerberg and former Alibaba Chairman Jack Ma over the role of AI, is finally giving the technology some space, like in his startup Neuralink which is creating a brain-machine interface. Tagging Lex Fridman, popular host of the Artificial Intelligence podcast on YouTube, Musk tweeted: "At Tesla, using AI to solve self-driving isn't just icing on the cake, it the cake" @lexfridman It reports directly to me & we meet/email/text almost every day. My actions, not just words, show how critically I view (benign) AI," the Tesla CEO added. For him, AI can only do'benign' tasks and those jobs too are being evaluated critically by him. Tesla is using advanced AI for vision and planning, supported by efficient use of inference hardware to achieve a general solution to full self-driving. The company is building silicon chips that power its full self-driving software from the ground up, taking every small architectural and micro-architectural improvement into account while pushing hard to squeeze maximum silicon performance-per-watt. The company is applying cutting-edge research to train deep neural networks on problems ranging from perception to control. "Our per-camera networks analyze raw images to perform semantic segmentation, object detection and monocular depth estimation.


Elon Musk's Physics Mindset May Underpin A Misguided Timetable For Full Self-Driving Teslas

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Elon Musk's physics mindset has aided him in many of his businesses, but might it be blindsiding him about Tesla being able to soon achieve true autonomous self-driving capabilities. Leaders often use specific mental models to guide their approach to leadership (see my book on business pivots and leadership for further explanation). Allow me to provide a quick example. I was brought into an up-and-coming high-tech firm to do some management consulting due to a recent organizational change. The board of directors had decided to replace the CEO with someone recruited straight out of the military.


La veille de la cybersécurité

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Popular Science: If cars are to become self-driving, machines must learn from the human brain. Time and space are fundamental to the existence of the universe, and human intelligence is our tool for navigating time and space in an appropriate manner. Our ability to see the future is critical. Through evolution, the human brain has evolved into a tool that perceives not only time, place, and things, but our neural network also predicts what will happen in the near future. What kind of path will the stone that you throw take?


From Energy To Transport To Healthcare, Here Are 8 Industries Being Disrupted By Elon Musk And His Companies

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Elon Musk is CEO of Tesla and SpaceX, has plans to colonize Mars, and thinks AI may turn humans into its pets. But beyond the hype and his enormous net worth and Twitter presence, here's how Musk's companies are actually taking on ... virtually every industry.