At BlackBerry's analyst summit this week, a great deal of time was spent on the company's secure QNX operating system, its IVY platform for software management on cars, and other tools and utilities designed for the next generation of personal transportation. This conversation can't happen soon enough. A growing concern of mine is that automobile companies don't yet seem to fully understand the risk they are taking with platforms that aren't secure enough for products tied to human transportation and safety. Having someone hack your phone or PC is bad, but having someone hack your car could be deadly. So when the industry is talking about putting apps in cars, safety and security should be a far higher priority for many of the automotive OEMs than it seems to be.

For many of us, the car is one of the most important pieces of technology in our lives. Not only do we rely on it for travel, work and leisure, increasingly the type of car we use says a lot about our wider attitude towards the world in which we live. Similarly, while the automotive sector remains a major part of the global manufacturing industry, many players find themselves at a crossroads in terms of the products they should be both developing and producing. There are also significant global differences – for instance, while most countries are still weighing up the pros and cons of electric and autonomous vehicles, China is forging ahead and, perhaps, offering a glimpse of the future. One thing's for certain: consumer demand is changing and brands need to react to this evolving market if they are to continue to thrive.

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For years, the lidar business has had a lot of hype but not a lot of hard numbers. Dozens of lidar startups have touted their impressive technology, but until recently it wasn't clear who, if anyone, was actually gaining traction with customers. This summer, three leading lidar makers have done major fundraising rounds that included releasing public data on their financial performance. The latest lidar maker to release financial data is Ouster, which announced a $42 million fundraising round in a Tuesday blog post. That blog post also revealed a striking statistic: the company says it now has 800 customers.

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Global Artificial Intelligence (AI) in Automotive Market has valued 566.80 Mn in 2016 and is estimated to reach US$ 10,600.3 Global Artificial Intelligence (AI) in Automotive Market is segmented by technology, offering, process, application, and geography. By technology, Global Artificial Intelligence (AI) in the automotive market is divided into Computer Vision, Machine Learning, Context Awareness, natural language processing. Based on the offering, Artificial Intelligence (AI) in Automotive Market is categorized hardware and software. By process, the market is fragmented into Data Mining, Signal Recognition, and Image Recognition.

It may be a long time before you can own a truly self-driving car. But chipmakers are placing bets that you will. On Tuesday, the Japanese chipmaker Renesas, the second-largest provider of semiconductors for the automotive industry, said it will acquire San Jose based chipmaker Integrated Device Technology (IDT) for $6.7 billion, in part to prepare for autonomous vehicles. IDT has not historically provided chips for cars, but it does have sensor and wireless technologies that could help Renesas compete in the market for chips for autonomous vehicles. "Renesas and IDT have complementary technologies," says Objective Analysis analyst Jim Handy.

At a recent investor conference, Intel (NASDAQ:INTC) CEO Brian Krzanich offered significant insight into the company's view of -- and strategy to win in -- the market for chips that handle artificial intelligence/machine learning workloads. Krzanich started by noting that artificial intelligence and machine learning (I'll refer to these as simply "machine learning" from here on out) represent a relatively small part of the overall data center market today, but acknowledged that it's the quickest-growing data center workload. Moreover, Krzanich even said that, over the long term, Intel expects it to be the largest workload within the data center. "Where will it end [up]? Will it be 25% of the workload? There's debate, there's debates out there; it's going to be large, so we get it," Krzanich said.

Intel CEO Brian Krzanich, BMW CEO Harald Krueger, and Mobileye CTO and cofounder Amnon Shashua pose after a press conference in Munich on July 1, 2016. Intel started making lots of noise about the autonomous car market last year. But it's a long slog getting into a market like automotive, where it can take years to get designed into a vehicle. On Monday, the chip giant announced it would just buy its way into the market with a $15.3 billion acquisition of Mobileye, a leading provider of advanced driver assistant systems based in Israel. A massive consolidation spree is sweeping the semiconductor industry.

Dozens of companies who fancy their technologies as a great fit for the automotive market are on the hunt for alliances. For example, Kyocera and FotoNation announced Tuesday (May 17) a partnership agreement to develop intelligent automotive camera technology -- deemed critical in the coming era of semi- and fully autonomous cars. Kyocera has already dabbled in the auto sector with its rearview camera modules. FotoNation, with the lion's share of computational imaging solutions for mobile phones, entered the driver monitoring system market last year. "The two companies' interests are aligned," Sumat Mehra, senior vice president of marketing and business development at FotoNation, told EE Times, "to expand each company's presence in the automotive market" -- well beyond what they offer today.