Streaming music revenues surpassed income from the sale of traditional formats for the first time last year, as the booming popularity the service put an end to the era of the CD. Revenue from music fans paying for services such as Spotify, Apple Music and Amazon Music surged more than 41% to $6.6bn (£4.7bn), accounting for more than 38% of the total global market for recorded music. The sale of physical formats, primarily CDs, fell 5.4% to $5.2bn to account for 30%. It marks a tipping point for the music industry, which has depended on income from CDs to fill record labels' coffers and artists' pockets since the 1980s. CD sales have been in decline for years as the industry was hammered by illegal piracy and failed to make much money as user numbers and margins fell in the early days of streaming.

The report also provides a professional and in-depth analysis on the global market while formulating industry insights into its current state of affairs. The report offers details on the pricing structure and channels of distribution of equipment suppliers in the global industry. Top key Vendors: NVIDIA (US), Intel (US), IBM (US), Micron (US), Samsung Electronics (Korea), Xilinx (US), Amazon (US), Alphabet (US), Facebook (US), Microsoft (US), Salesforce (US), Baidu (China), Sentient Technologies (US), Albert Technologies (Israel) Get more Information @ https://www.researchnreports.com/request_sample.php?id 214065 The competition in the global Artificial Intelligence In Marketing Market is intense due to the presence of multiple players. Factors such as low penetration, rapid advances in technology, and high fragmentation are inducing high competition in the market. Most of the market is still untapped and there are considerable growth opportunities for new players entering this industry.

Quid Pro Quo (QPQ) International, an innovative networking platform embraces three biggest trends of the future - sharing economy, Artificial Intelligence and blockchain principles Dubai, UAE: QPQ International, an innovative online networking platform that embraces three of the biggest trends of the future including sharing economy, artificial intelligence and blockchain principles would be launching in the UAE this week. The state-of-the-art platform will cater to established business owners, entrepreneurs, SME's, influencers and high-net worth individuals, to help them network and collaborate on investments, projects, and grow their business in a safe, secure and trusted environment. The new business referral network is the result of research and development by serial entrepreneur, Oksana Tashakova, who is also the founder of Wealth Dynamics Unlimited, a premier entrepreneurship education company. QPQ has been Co-Founded by Omair Saoud Arar Al Dhaheri, who has spent 22 years as Director of Real Estate at the Abu Dhabi Investment Authority (ADIA), Chairman of Bin Arar Holding & Midein Energy of the UAE along with Global Strategic Partner Jason Michaud, who is also a partner at Canada-based Luiza Artificial Intelligence Technologies. Ahead of the official launch of the platform, Oksana Tashakova, Co-founder of QPQ said: "In today's world, networking is a necessity. A mountain of research shows that professional networks lead to more job and business opportunities, broader and deeper knowledge, improved capacity to innovate, faster advancement, and greater status and authority. "Consumer behavior is evolving at a faster pace than many businesses can cope with.

Singapore, South Korea, and Germany topped a recent survey of how countries across the world are dealing with rapidly advancing artificial intelligence (AI) technology primed to automate millions of jobs in the coming years. Commissioned by ABB, The Economist Intelligence Unit created their Automation Readiness Index using data and interviews with industry stakeholders, economists, government officials, and NGOs. The index ranks countries by how prepared they are for what they call "intelligent automation." There have long been questions about the future of automation and the adoption of AI-backed robotics that can do more than just replicate physical human tasks. Businesses are showing little hesitation in exploring AI, but governments continue to struggle in preparing populations for the coming changes to the workforce.

The growth of artificial intelligence (AI) worldwide in the coming decades is a given and China is at the forefront of it all. China's State Council laid out an ambitious AI strategic plan in July 2017 to create a domestic 1 trillion yuan (US$147.80 billion) AI industry and make China the world's leading AI innovation centre by 2030. It's early days yet, but the Chinese population's eagerness to embrace new technologies, along with supportive government policies and budget, mean that AI infrastructure is guaranteed to appear here sooner rather than later. Globally organisations of all sizes and industries are pursuing AI-driven automation to help improve productivity and profitability. The question is: if AI develops to a point where machines will take over humans' jobs, what will those jobs be?

On Tuesday, Yamato Transport Co. and DeNA Co. tested an autonomous vehicle delivery service to gauge the potential of self-driving technology in the field of logistics. The two Tokyo-based companies conducted the experiment in Fujisawa, Kanagawa Prefecture, in which an electric car navigated through a short, quarantined road without anyone sitting in the driver's seat. A person sat in the front passenger seat to observe the operation. During one demonstration, the vehicle, equipped with a camera and infrared sensor, ran through the residential area at 5 to 10 kph. When the delivery car arrived at its destination, a customer opened up a box inside the vehicle, allowed a QR code on her smartphone to be scanned, and picked up the product.

From artificial intelligence (AI) and machine learning to CCTV and big data – computer scientists at the University of East Anglia are part of an international effort to make the fishing industry more sustainable. UEA are part of a new £5 million EU-funded project to revolutionise the fishing industry, which employs over 24,000 people in the UK and contributes around £1.4 billion to our economy. It is hoped that pioneering technology will contribute to making the industry more environmentally friendly, sustainable and profitable. The'SMARTFISH-H2020' project, co-ordinated by SINTEF Ocean in Norway, draws on research from universities in Norway, Denmark, Turkey, France and Spain, along with institutes and industry partners across Europe. Other UK partners include Marine Scotland, The Centre for Environment, Fisheries and Aquaculture Science (CEFAS), and Safetynet Technologies Limited.

A two-armed robot in a Chiba factory carefully stacks rice balls in a box, which a worker carries off for shipment to convenience stores. At another food-packaging plant, a robot shakes pepper and powdered cheese over pasta that a person has just arranged in a container. In a country known for bringing large-scale industrial robots to the factory floor, such relatively dainty machines have until recently been dismissed as niche and low-margin. But as the workforce ages in Japan and elsewhere, collaborative robots -- or "cobots" -- are seen as a key way to help keep all types of assembly lines moving without replacing humans. Japan's Fanuc Corp. and Yaskawa Electric Corp., two of the world's largest robot manufacturers, didn't see the shift coming.

As the race intensifies to run machine learning tasks in embedded devices instead of the cloud, several companies are trying to set themselves up with custom chips to ease the shift. Horizon Robotics is not only tackling chips but also software and the cloud, with an eye toward beating rivals in applications like security cameras and autonomous cars. "The chip is the local brain that directly senses the surrounding environment, while the algorithm is the miner of the data," said Kai Yu, founder and chief executive of Horizon Robotics, and the former head of Baidu's artificial intelligence unit, called the Institute of Deep Learning, in an interview with Electronic Design. "We want to empower end devices with A.I. capacity and make them smart without relying on the cloud alone," Yu said, adding that the "chip and algorithms are used to perceive and filter big data, perform real-time processing and transmit valuable data to the cloud for further mining and modeling. The central component in Horizon Robotics' SoCs is the brain processing unit, a custom block of circuitry that specializes in algorithms trained on vast libraries of images, hundreds of hours of video, or other data.

The U.S. Army's Autonomous Remote Engagement System is mounted on the Picatinny Lightweight Remote Weapon System and coupled with an M240B machine gun. It's part of a program that reduces the time to identify targets using automatic target detection and user-specified target selection. The U.S. Army's Autonomous Remote Engagement System is mounted on the Picatinny Lightweight Remote Weapon System and coupled with an M240B machine gun. It's part of a program that reduces the time to identify targets using automatic target detection and user-specified target selection. Killer robots have been a staple of TV and movies for decades, from Westworld to The Terminator series. But in the real world, killer robots are officially known as "autonomous weapons."