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.
Machine learning can help companies identify completely new metrics in a rapidly changing market. It is well known that machine learning is already helping companies achieve their performance goals by optimizing existing performance metrics. By leveraging the growing volume of data on customer behavior, pricing, competitive action, and operational statistics, it can deliver critical insights in a variety of ways. Machine learning offers many benefits from optimizing marketing or pricing to improving customer service and operational efficiency. However, a recent article in the MIT Sloan Management Review shows that companies are increasingly using machine learning to identify entirely new KPIs to correlate with overall performance.
Brian Wong - Kiip, CEO & Co-founder: So in 50 years I think the world will, in terms of technology, really change and really this concept I call proximity of tech - which is how close the technology is to your body. And right now where it's kind of silly, we hold things and we wear things and it's kind of at our hands, right? And we might put it on over our faces but the whole point is just getting it into our eyeballs, into our ears, into our stomachs. Ingestibles are already a thing, it's crazy, you literally ingest these pills these robot pills that can obviously see what you're eating and all these things and all your caloric intake, it's amazing. And then you know you've heard of startups like Magic Leap where they're doing AR for your world; I should just be able to load my emails then like do this, then do this, that's literally what will happen I think in 50 years, everything will just come inside and that to me is really, really exciting.