As connected devices become prevalent in our homes and workplaces, the technology to create and support a connected car ecosystem becomes ever more advanced. In fact, according to one forecast, there will be more than 380 million connected cars on the road by 2021, which, if correct, would fundamentally change the way we all live, work and drive. With the connected car having been identified as the fastest-growing technological device after the smartphone and tablet, we can only begin to imagine the range of capabilities we can come to expect in the space over the coming decade. However, what we can be sure of is that when connected cars become a regular feature in our garages and on our roads, the experience of driving and being driven for the next generation of car users is going to be a very different one to what we're used to now. Although there are numerous perceived benefits for car companies in terms of data acquisition, targeted marketing, and a range of new personalised in-car apps, products and services to offer customers, what exactly are the direct benefits to drivers and passengers in this connected automotive future?
The mystery of why a handful of cars were abandoned in a derelict car park in Edinburgh may have been solved. The £5m Autosafe SkyPark used robots to stack cars and was dubbed the "car park of the future" - but went into receivership in 2003. After lying empty for more than a decade, the building in Morrison Street is now being demolished. And the work has uncovered eight cars which were left behind when the doors were closed. Images of the abandoned vehicles has sparked a number of theories about why they were never removed.
Robots must be taught morals so they can be trusted to make potentially life and death decisions, Theresa May will say. Artificial intelligence (AI) is increasingly being used to drive cars, diagnose patients and decide on prison sentences around the world. The Prime Minster will warn that as machines swoop in to carry out more jobs they must also be taught how to make ethical decisions. The PM - who was mockingly dubbed the Maybot during the election campaign - will make the warning in a major speech on AI this Thursday in Davos, a summit of political and business leaders. Theresa May (pictured in No10 last night) will warn that as machines swoop in to carry out more jobs they must also be taught how to make ethical decisions.
A Culver City firefighting truck was hit by a Tesla on Monday morning, reports stated. The crash occurred while the crew was responding to an accident on the 405 freeway in Washington Boulevard, CBS Local reported. According to the authorities, the Tesla Model S was on autopilot mode when it crashed into the back of a parked fire truck which was attending the scene of the accident. No injuries were reported in the crash. The Culver City firefighting department confirmed the crash on Twitter.
Though its time horizon can't be predicted, artificial intelligence (AI) promises to foundationally influence modern society, for better or worse. A sub-genre of AI -- machine learning -- has garnered particular attention from the pundits for its potential impact on the world's most important industries. Due to the resulting hype, massive amounts of talent and resources are entering this space. But what is machine learning and why should we care about it in the first place? The answer is that, in the broadest sense, machine learning models are an application of AI in which algorithms independently predict outcomes.
The rise of the machines could leave a third of the population out of work. That's according to Dr Subhash Kak, a computing expert at Oklahoma University, who claims AI and self-driving cars will lead to mass unemployment. He also warns that as robots take control of the world, humans will slip into a life of'meaningless' misery. A report in November suggested that physical jobs in predictable environments – including machine-operators and fast-food worker – are the most likely to be replaced by robots. But it added: 'Collecting and processing data are two other categories of activities that increasingly can be done better and faster with machines.
Autonomous and electric cars, connectivity, and ridesharing are changing the way auto industry players think about value chains, data analytics, and manufacturing. Behind all the talk of robo-cars, electric vehicles, and increased car connectivity is a focus by major car companies on serving customers' more intricate technological needs. In this episode of the McKinsey Podcast, senior partners Asutosh Padhi and Andreas Tschiesner speak with McKinsey's Simon London about how four trends--autonomous driving, connectivity, electrification, and ridesharing--are paving the way for entirely new forms of mobility. Simon London: Welcome to the McKinsey Podcast. I'm Simon London with McKinsey Publishing.
But in the digital age the sheer volume of trends reshaping business models and transforming entire industries means even the largest organisations cannot afford to skip the tide for fear of a start up stealing their march. Their Head of EMEA Phil Cox gives us his top predictions for the year ahead. The number of commercial uses for unmanned aerial vehicles (UAVs) will continue to increase in 2018. With their lower costs, minimal intrusion and reduced safety risks, drones are increasingly being utilised to inspect and survey, from damage to wind turbines and safety checks on oil rigs to detecting leaks in oil and gas pipelines. Canard's drones with powerful sensors and cameras inspect runways for damage, eliminating the need to shut down airports for entire days to allow one-man planes to carry out flight inspections at dangerously low altitudes.
As you might expect from the headline, I'm about to give you a couple of stock ideas from that crazy annual tech extravaganza in Las Vegas known as the Consumer Electronics Show, or CES. And from a tech show that has tilted in recent years toward self-driving cars, artificial intelligence, and virtual/augmented reality -- my stock ideas are better suited for the more aggressive "Rule Breakers" part of your portfolio. With that, here are two companies I think are especially suited for long-term investors wanting exposure to what will surely be some of the biggest tech trends of the coming years. Yes, NVIDIA (NASDAQ:NVDA) was the best performer in the S&P 500 in 2016 (up 224%), and the stock gained another 81% in 2017. But the company's long-term potential remains enormous.