If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Tel Aviv is the city with the highest number of startups per capita in the world, according to the 2018 Global Startup Ecosystem report -- more than 6,000, of which 18 are unicorns. The city's tech cluster, dubbed Silicon Wadi, is home to more than 100 venture capital funds, plus hundreds of accelerators and co-working places. "Tel Aviv is transitioning from startup nation to scale-up nation," says Eyal Gura, co-founder of Zebra Medical Vision. Amit Gilon, an investor at Kaedan Capital VC fund, agrees – adding that Israel is not just about successful B2B companies anymore, such as Checkpoint, Nice and Amdocs, but also about "big B2C success stories like Playtika, Wix, Fiverr and others". Founded in 2015, Arbe has built a 4D ultra-high-resolution imaging radar for cars.
Driverless cars and mobility-as-a-service is expected to grow exponentially in the next 30 years but how will programmers today determine the best way to program A.I. to make the ethical decisions that humans make every day when behind the wheel? By 2050, driverless cars and mobility as a service will be estimated to grow to $7 trillion all across the world. From 2035 to 2045 it's expected that consumers will regain up to 250 million hours of free time that otherwise would be spent on driving. But if people are no longer behind the wheel, how will A.I. make those decisions that we make every time we are on the road? And even if it can decide these decisions, can they do it in an ethically acceptable way? "Driverless cars'must decide quickly, with incomplete information, in situations that programmers often will not have considered, using ethics that must be encoded all too literally" said Noah J. Goodall, the Senior Research at the Virginia Transportation Research Council.
Have you ever wondered whom to thank for some of the modern conveniences you might have started taking for granted, like Siri, Cortana or Alexa (assuming you agree these are conveniences)? The people at the Association for Computing Machinery (ACM) decided to thank Geoffrey Hinton, Yoshua Bengio and Yann LeCun in April of this year by honoring them with the Turing Award for their contributions to deep learning and neural networks. These contributions are put to use every time you log into your smartphone using fingerprint or facial recognition or when you use Google Photos or a voice assistant, and likely every time you use Amazon, Netflix, Facebook or Instagram. The advances in automatic language translation and autonomous cars in recent years arguably wouldn't have progressed as rapidly had it not been for the contributions of these three researchers. All of that is still an understatement of their contributions to artificial intelligence (AI).
Machine learning and artificial intelligence (AI) systems are rapidly being adopted across the economy and society. These AI algorithms, many of which process fast-growing datasets, are increasingly used to deliver personalised, interactive, 'smart' goods and services that affect everything from how banks provide advice to how chairs and buildings are designed. There is no doubt that AI has a huge potential to facilitate and enhance a large number of human activities and that it will provide new and exciting insights into human behaviour and cognition. The further development of AI will boost the rise of new and innovative enterprises, will result in promising new services and products in – for instance – transportation, health care, education and the home environment. They may transform, and even disrupt, the way public and private organisations currently work and the way our everyday social interactions take place.
One of China's newest autonomous vehicle makers, Neolix, recently put self-driving microvans into action as it looks to scale up its solution to the country's logistics puzzle made more complex by a surge in online shopping. The Beijing-based startup, barely a year old, has already deployed the vehicles in the capital and other cities, but it faces stiff competition from a crowded field where other players, especially e-commerce groups, are racing to develop similar robovans. "Operating 10,000 units will be an industry milestone and it is crucial [for us] to achieve it," said Yu Enyuan, 45, Neolix's founder and chief executive. Neolix's ambition is to replace the roughly 40 million vehicles providing so-called last-mile logistics in China, a market projected to be 3 trillion yuan ($428 billion). These home deliveries are now handled mainly by two- and three-wheel electric motorbikes, zigzagging through neighborhoods to carry everything from milk tea to mattresses.
The advent of technology has truly defined the beginning of the millennium. Social media sites, the internet, the increase of start-up ventures and the streamlining of every and any kind of process has made access to our heart's desires as easy as a push or a click. Have fresh, hand-cooked food delivered to your door in a matter of 30 minutes. Now there is no need -- Instagram, Twitter, Facebook, Snapchat will give you everything you want to know (and perhaps do not want to know) about their lives at this present moment. If express trains or other forms of optimised public transport are not enough, you have the likes of Uber and Lyft to take you directly to your destination if you choose.
TransLink says the accuracy of its bus departure times will be improved with a "new machine learning algorithm." The system-wide implementation follows a pilot program which saw 13 bus routes utilize this technology. "We're proud to have developed the new algorithm in-house, with collaboration from technology companies Microsoft and T4G," said TransLink CEO Kevin Desmond, in a news release. "This method is going to result in better information for customers, who can make more informed decisions throughout their journey. During the pilot phase the difference between predicted and actual bus departure times improved by 74 per cent."
"In 1998, Tata Motors' tryst with destiny in the passenger car business began with the launch of Indica. Despite all the attention, Indica failed to sizzle, with sales falling 20% the next year as customers complained that the car was rolled out despite glitches. Tata Motors carried out a survey to identify the problems, and discovered that the components being procured from Tier 1 and Tier 2 suppliers were of sub-standard quality. Amit Bhingurde, chief operations officer, TAL Manufacturing Solutions, a Tata Motors subsidiary, explains the reason: 'The manufacturers were not able to produce high quality components as they couldn't afford automation'." The need of automation is the result of today's phenomenon - Artificial Intelligence.
Indian cab aggregator Ola on Tuesday said it had acquihired Bengaluru-based artificial intelligence startup Pikup.ai. As part of the deal, the team at Pikup.ai will join Ola. Speaking on the acqui-hiring, Inder Singh, Co-founder, Pikup.ai, said, By bringing deep domain expertise to Ola, this acquihire will also deliver innovations that continue to improve safety and transform customer experience. The cab aggregator also said it was increasing its focus on using advanced analytics and deep technology to build on its mobility solutions. With the availability of rich data, the application of machine learning and AI will enable the ride-hailing giant to identify deep insights that can lead to improved mobility outcomes.
Driving a Tesla might be the closest thing we have to driving a car from the future… But turns out, thieves are not really into them, or electric cars in general. A Tesla vehicle reportedly burst into flames on the side of a Russian highway over the weekend after colliding with a tow truck, once again raising safety concerns over the automaker's semi-autonomous driving system known as Autopilot. This comes on the heels of other accidents involving Tesla vehicles on Autopilot crashing into stationary cars on the road. Reuters reported on Sunday that the Tesla Model 3 driver told local media that Autopilot was active during the crash. The driver, identified as Alexei Tretyakov, also said he was still holding the steering wheel when the incident occurred.