This work introduces my initial experiment to study Artificial Perception in Self-Driving technology. Vehicle Artificial Perception is known as a capability that helps Self-driving cars to understand the surrounding environment through a computer based-system. The system can consist of several different sensors such as Cameras, Lidar, Radar, GPS, IMU...to gather information around the car. An intelligent software then processes the data collected from the sensors to recognize and classify surrounding objects such as cars, humans, road marks, traffic signs.... Based on the understanding of the detected objects, the intelligent software can predict behavior and plan appropriate reactions according to the situations. Creating such an intelligent software has been a challenge for Artificial Intelligence researchers for decades. However, Deep Learning has recently offered a promising solution in the field of Artificial Intelligence, in which Deep Learning software has the ability to learn to create its own Artificial Neural Networks.

The financial services industry has been using artificial intelligence for decades in trading, and as the technology gets smarter it's being tested more often with payments as well. "There's an increasing trend around using AI around financial payments," said Sumeet Vermani, a global marketing leader working for fintech providers such as Red Box Recorders, a company that records communication, in the financial services industry for compliance. Financial institutions and payment providers are looking for ways to utilize AI in a number of areas, including customer interaction and fraud detection. The most popular application of AI in financial services -- and perhaps the most limited -- is the chatbot, a program that converses with customers through text or speech. In financial services, chatbots are usually used to make the first interaction with a customer, answering questions or directing customers to an area of the website.

Andrew Ng, a leading figure in the world of artificial intelligence, is leaving his post as chief scientist at China's Baidu and says he wants to find ways of advancing AI beyond the technology world. Ng is known for playing a leading role in formulating the AI strategy of both Baidu and Google. He says is leaving the Chinese company on good terms and simply wants to find a new challenge. "I've decided to step away from this role while everything is going well and look at some other things," he told MIT Technology Review. "I don't know precisely what I'll do, but I think AI offers a lot of opportunities, not just at big companies like Baidu but for entrepreneurs, and for advancing basic research," Ng added.

SHANGHAI (Reuters) - Baidu Inc chief scientist Andrew Ng said on Wednesday he will resign from the Chinese search engine company after three years of leading its drive into artificial intelligence (AI) and augmented reality (AR) projects.

The amount of digital data that currently exists is now growing at a rapid pace. The number is doubling every two years and it is completely transforming our basic mode of existence. According to a paper from IBM, about 2.5 billion gigabytes of data had been generated on a daily basis in the year 2012. Another article from Forbes informs us that data is growing at a pace which is faster than ever. The same article suggests that by the year 2020, about 1.7 billion of new information will be developed per second for all the human inhabitants on this planet. As data is growing at a faster pace, new terms associated with processing and handling data are coming up.

"90% of the world's supercomputers run on Intel technology," Diane Bryant tells me at SxSW. "And 95% of artificial intelligence solutions run on Intel Xeon and Xeon Phi processors." Bryant is an Intel veteran who joined the semiconductor giant right after getting an electrical engineering degree from U.C. Davis. Starting a a microprocessor design engineer, she quickly worked her way up the ranks, spending 4 years as Intel's CIO before moving on to lead their Data Center Group. With recent acquisitions of Nervana and Mobileye, Intel is building a solid position in the A.I. wars. Every major tech company in Silicon Valley, along with every automotive giant from Detroit, is battling to gain ground in self-learning and self-driving technologies.

Artificial intelligence (AI) is simultaneously overhyped, misunderstood, and already hugely impactful, according to Pegasystems CTO Don Schuerman, who said many organisations were already successfully using the technology before it became an industry buzzword. Schuerman told ZDNet that he has been encouraging his clients to take a look at what pragmatic AI technologies they can employ to deliver real benefits to how they interact with customers, rather than succumbing to the hype. The best example is what the Commonwealth Bank of Australia (CBA) is doing, he said. "They've got Pegasystems' product called the Customer Decision Hub, which uses predictive analytics and adaptive or self-learning analytics to figure out in real time what the best offer or service is, or recommendations are, to put in front of a customer either to improve their satisfaction rate and retention rate, for example," he explained. In implementing the technology, CBA has increased its branch sell rates by 13 percent, which Schuerman said is a significant impact to the business.

The'artificially intelligent' future needs regulation and human creativity, according to tech pioneer Inma Martinez, who will speak at the Inspirefest Salon in London this week. The computers are taking over! With headlines declaring that supercomputers can now beat expert humans in complex strategic games and can even chug through the medical literature to diagnose disease, it's easy to believe we are on the cusp of science-fiction becoming fact as artificial intelligence gets a mind of its own. But for technology pioneer and data scientist Inma Martinez, the precipitous rise of fast and flashy artificial intelligence (AI) comes as no surprise. We are now'almost vertical' in the exponential growth in AI technology, and she stresses the need to regulate the AI industry, but reassures that as the computers get even'smarter' we will still need human creativity.

We are at the cusp of the next industrial revolution--or maybe it's in full swing already. Artificial intelligence, Internet of Things, cloud computing, smartphones, and a slew of other technologies that were unknown or sci-fi before the turn of the century are redefining and disrupting different aspects of life as we know it today. As with every industrial revolution, most of the changes overcoming our lives are pleasant. These are just some of the advantages brought by these technologies. But the same trends drag in tow some less appreciated disruptions, namely the upheaval of the socio-economic landscape.

The chief scientist helping drive Baidu Inc.'s push into artificial intelligence is quitting the Chinese search giant, putting at risk its efforts to put AI at the center of a business revival. Andrew Ng, a Stanford University academic who worked on deep learning at Alphabet Inc. before joining Baidu in 2014, said he's leaving the business next month. Ng doesn't plan to join another technology company and will seek to bring AI into sectors such as health care and education around the world. The departure comes at a crucial point for the Beijing-based company as it attempts to revive its fortunes by embracing machine intelligence across all of its business units. His decision to leave comes after Qi Lu was hired in January as Baidu's group president and chief operating officer with a mandate to reshape the business, whose online-ad business is under threat from rivals including Alibaba Group Holding Ltd. and Tencent Holdings Ltd. Prior to joining, Lu was an executive at Microsoft Corp. leading efforts to develop artificial intelligence.