"Just as 100 years ago electricity transformed industry after industry, AI will now do the same." Artificial Intelligence – it's on the lips of the leaders, and on the 2018 agendas of the board meetings, of almost every global company today. Directors and operating executives alike know, or think they know, that this "new electricity" is going to be the next transformative force of our world. To ignore it now could be fatal to their long-term competitive position, not to mention survival. AI-powered companies that know what they are doing -- primarily born in the Internet and mobile eras – have not only gained tremendous advantage in improved efficiency and increased profitability, they have literally changed the competitive landscape of successive industries.
Artificial Intelligence (AI) is starting to change how many businesses operate. The ability to accurately process and deliver data faster than any human could is already transforming how we do everything from studying diseases and understanding road traffic behaviour to managing finances and predicting weather patterns. For business leaders, AI's potential could be fundamental for future growth. With so much on offer and at stake, the question is no longer simply what AI is capable of, but where AI can best be used to deliver immediate business benefits. According to Forrester, 70% of enterprises will be implementing AI in some way over the next year.
Google has officially opened an artificial intelligence (AI) center in Beijing, the capital of China. The country is home to some of the most renowned thinkers in the field of AI, so it makes sense that one of the largest tech companies in the world would want to set up shop where much of the action is. In a blog post, Fei-Fei Li, Google's chief scientist for AI and machine learning, explained "Chinese authors contributed 43 percent of all content in the top 100 AI journals in 2015--and when the Association for the Advancement of AI discovered that their annual meeting overlapped with Chinese New Year this year, they rescheduled." This shows just how valuable China is to the AI community. Google's China team will be headed by Li, who came to Google after serving as the director of Stanford University's Artificial Intelligence Lab.
Automobile companies and technology firms are racing to deploy autonomous vehicles (AVs). But they could face one key obstacle: consumer distrust of the technology. Unnerved by the idea of not being in control--and by news of semi-AVs that have crashed, in one case killing the owner--many consumers are apprehensive. In a recent survey by AAA, for example, 78% of respondents said they were afraid to ride in an AV. Such numbers are a warning sign to firms hoping to sell millions of AVs, says Jack Weast, chief systems architect of Intel's autonomous driving group in Phoenix.
While developers amass data on the sensors and algorithms that allow cars to drive themselves, research on the social, economic, and environmental impacts of autonomous vehicles (AVs) is sparse. Truly autonomous driving is still decades away, according to most transportation experts. And because it's hard to study something that doesn't yet exist, the void has been filled by speculation that offers either a utopian view of the societal benefits of the new technology or a dystopian view of its hazards. Fortunately, a handful of cleverly designed experiments have given scientists insights into how AVs could change how we live, work, and play.
Do humans have the capacity for safe AI? Our history shows innovation and technology advancements are replete with unintended consequences. Who knew that widespread social-media adoption would lead to disinformation campaigns aimed at undermining liberal democracy, when it was originally thought it would increase civic engagement? After all, AI not only enables the development of autonomous vehicles, but also autonomous weapons. Who wants to contemplate a possible future where self-aware AI becomes catatonically depressed while in possession of nuclear launch codes?
Elon Musk says a Tesla car will drive from LA to New York City autonomously by early 2018.Tesla The deadline is approaching for Tesla CEO Elon Musk to deliver on one of his loftiest predictions for the company. In October 2016, he said a Tesla car would drive itself from LA to New York City without any assistance from a human driver by the end of 2017. Musk made a slight revision to that statement in August, claiming the autonomous road trip would happen early in 2018 if he doesn't meet his original deadline. But the self-driving capabilities in Tesla's cars are still ahead of the competition. The Autopilot system included in its cars can help drivers navigate highways and parking lots, and the company says every vehicle produced in its factory has the hardware for complete, autonomous driving that could be activated when the necessary software and government regulations come into place.
Texas, like Finland, never had a law blocking self-driving cars from public roads, until Thursday when Gov. Greg Abbott signed a bill that set out the rules of the road. The re-legalization makes a few things clear for automakers and tech companies testing their autonomous vehicles in The Lone Star State. First, self-driving cars without a driver remain legal, as long as the car has a specific amount of insurance and is able to record video, according to a report by The Texas Tribune. The manufacturer must accept liability for all accidents on the road, an agreement that both Waymo and Uber have both fought against in other states. Removing the need for a driver could push self-driving tests in Texas to Level 4 autonomy, which means fully autonomous except in certain environments, like heavy snows.
The Internet of Things is creating serious new security risks. We examine the possibilities and the dangers. Building and operating the machines that make infrastructure and construction works such as roads, buildings and bridges possible is something that seldom gets mainstream attention. These machines may not seem as shiny and cool as cars for example, but in many ways they are not just more important, but more advanced as well. It's not just that without them none of the material to build everything the industry builds would not be available, transportation would be a major issue, and everything we come to take for granted would be disrupted.
Every year seems to have its business trends. Last year it was digital transformation. This year, it's artificial intelligence (AI). For small businesses, it can be hard to distinguish hype from reality. It can also be difficult to embrace AI with the same fervor as large companies because AI talent is scarce and expensive.