When we talk about Artificial intelligence, we immediately recollect the science fiction blockbuster movies of the '80s and '90s like the Terminator, the Fifth Element and AI. These movies set a pathway for future scientists who have then researched the possibilities of simulating human behavior in robots. But back then, there was no concept of Big data processing which is vital for machine learning since there has to be huge processing of data as responses to different human emotions. When the technology matured with respect to Big data processing, it opened up infinite possibilities of applications of Artificial intelligence. Autonomous cars, AI chatbots, and AI enabled security checks, are some of the recent advents in the field of AI and machine learning.
SoftBank Group Corp. Chairman and CEO Masayoshi Son said Thursday that Japan has become an "underdeveloped" country in the use of artificial intelligence in businesses, lagging behind China, India and Southeast Asian countries that have fast-growing technology companies. "Japan once was a leader in technology but has become an underdeveloped country in AI. It is in a pretty bad situation so Japan needs to awaken," Son told an audience at a company event in Tokyo. Among the audience were Ritesh Agarwal, CEO of Indian hotel operator Oyo Hotels & Homes, and Anthony Tan, CEO of ride-hailing company Grab Holdings Inc. of Singapore. Oyo and Grab are among over 80 AI startups in which SoftBank Group's $100 billion Vision Fund has invested.
Some Uber drivers in New York City want to see a decrease in the commission taken by the company. SAN FRANCISCO -- Gig economy workers are increasingly ubiquitous, shuttling us to appointments and delivering our food while working for Uber, Lyft, DoorDash and others. Thanks in large part to the app-based tech boom emanating from this city, 36% of U.S. workers participate in the gig economy, according to Gallup. But not all gigs are created equal, Gallup adds, noting that so-called "contingent gig workers" experience their workplace "like regular employees do, just without the benefits of a traditional job -- benefits, pay and security." California lawmakers are weighing what is considered a pro-worker bill that, if passed into law, would set a national precedent that fundamentally redefines the relationship between worker and boss by forcing corporations to pay up.
About the author Andrew Macleod is the director of automotive marketing at Siemens, focusing on the Mentor product suite. He has more than 15 years of experience in the automotive software and semiconductor industry, with expertise in new product development and introduction, automotive integrated circuit product management and global strategy, including a focus on the Chinese auto industry. He earned a 1st class honors engineering degree from the University of Paisley in the UK and lives in Austin, Texas.
Smartphones, smart speakers, smart cars, smart coffee makers...the list goes on. It seems like everything around us is coming to life and becoming intelligent. And though the sci-fi genre thrives on our ever-present fear of a hostile robot takeover, smart devices are anything but dystopian -- they're actually here to make our lives easier so we can spend more time on the important stuff instead of tedious busywork. Tech companies know that increased automation is the way of the future, just like it was when Ford pioneered the assembly line. Advanced technology like artificial intelligence (AI) and machine learning (ML) is fueling the most exciting innovations in recent history -- think self-driving cars, virtual and augmented reality, automated investing, improved medical imaging, and more.
As our world digitizes, information becomes more valuable. The excess of information and the rapid increase of the data causes the stored data to become polluted and unusable. I would like to start with an example in order to understand this science which is one of the new professions of the modern century more easily. Suppose that an automobile company that produces luxury sports cars is launching a new, very fast, single-door convertible, the company will naturally think who its potential customers are. Nerd IT staff working in the company have a new idea.
Chinese benchmarking outfit Master Lu has now released the list of best mobile chipsets in terms of AI performance for the first half of 2019. The list of combined processors for Q1 2019 was topped by the Qualcomm Snapdragon 855 chipset, followed by the Snapdragon Apple A12 and the Kirin 980 chipset from Huawei. As is expected, we've got the Snapdragon 855 in the lead, followed by Apple's excellent A12 chip. Yes, you heard that right, MediaTek has managed to get the Helio P90 up there, and it's apparently a pretty great performer when it comes to AI performance. According to Master Lu, while the Helio P90 isn't exactly the most powerful chip around, the AI performance on it is above most other competitors.
An automatic pilot has landed a plane using image-recognition artificial intelligence to locate the runway. At large airports, systems on the ground beam up the position of the runway to guide automatic systems. But in late May a new AI tool landed a small plane carrying passengers, by "sight" alone at Austria's Diamond Aircraft airfield. One expert said it could potentially improve flight safety. The new system, developed by researchers at the technical universities of Braunschweig and Munich, processes visual data of the runway and then adjusts the plane's flight controls, without human assistance.
Using the CB Insights platform, we track where AI is heating up, from health to entertainment. Since 2013, over 3.6K AI startups have raised equity funding globally. The majority of these companies -- like unicorns UiPath, Automation Anywhere, and Face -- sell AI software-as-a-service. Others use AI to develop their core products, including Indigo Agriculture, which leverages machine learning to develop microbial seed treatments. Some other startups -- such as Graphcore, Habana, and Cerebras -- focus on hardware to support AI workloads.
Uber is one of those organizations that rely heavily on data. Each day, millions of trips take place in 700 cities across the world, generating information on traffic, preferred routes, estimated times of arrival/delivery, drop-off locations, and more that enables Uber to deliver a smooth riding experience to its customers. With access to the rich dataset coming from the cabs, drivers, and users, Uber has been investing in machine learning and artificial intelligence to enhance its business. Uber AI Labs consists of ML researchers and practitioners that translate the benefits of the state of the art machine learning techniques and advancements to Uber's core business. From computer vision to conversational AI to sensing and perception, Uber has successfully infused ML and AI into its ride-sharing platform.