Global Robot Market Size (Sales) Market Share by Type (Product Category) [Industrial Robots, Service Robots] in 2018 Robot Market by Application/End Users [Automotive & Parts, Electronic Information, Machine Tools, Food Industry, Medical, Family Life, Others] Global Robot Sales (Volume) and Market Share Comparison by Applications Global Global Robot Sales and Growth Rate (2014-2025) Robot Competition by Players/Suppliers, Region, Type and Application Robot (Volume, Value and Sales Price) table defined for each geographic region defined. Global Robot Players/Suppliers Profiles and Sales Data Additionally Company Basic Information, Manufacturing Base and Competitors list is being provided for each listed manufacturers Market Sales, Revenue, Price and Gross Margin (2014-2018) table for each product type which include Cost Structure Analysis Key Raw Materials Analysis & Price Trends Supply Chain, Sourcing Strategy and Downstream Buyers, Industrial Chain Analysis ……..and view more in complete table of Contents

A Rochester Institute of Technology professor has earned a prestigious National Science Foundation award to use computers to better understand human behavior and social interaction. Ifeoma Nwogu, an assistant professor of computer science, received an NSF Faculty Early Career Development (CAREER) award and grant for her five-year project. She aims to study human behavior in a new way, by using machine learning techniques to analyze and find patterns in the many signals that individuals display during social interactions. Her work will specifically look at groups working in science, technology, engineering and math (STEM), with the aim of supporting underrepresented groups in STEM. "In a conversation, people are constantly displaying and processing different non-verbal signals, such as how fast someone is talking or the facial expressions they are making," said Nwogu.

Called FARM (Financial and Agricultural Recommendation Models) and delivered in partnership with social enterprise Agrics, the project is providing more than 200,000 small-scale farmers in Kenya with the hardware and software they need to analyse big data regarding issues such as weather patterns and soil quality. The platform uses AI to "intelligently" collect and process the data, before providing the user with personalised insights and recommendations to optimise crop yield and eliminate inefficiencies. In sustainability terms, results of acting on the recommendations are likely to be better water management, the use of less fertiliser, the generation of less food waste throughout the value chain and improved incomes for farmers.

A doctor in India has performed a series of five percutaneous coronary intervention (PCI) procedures on patients who were 20 miles away from him. The feat was pulled off using a precision vascular robot developed by Corindus. The results of the surgeries, which were successful, have just been published in EClinicalMedicine, a spin-off of medical journal The Lancet. The feat is an example of telemedicine, an emerging field that leverages advances in networking, robotics, mixed reality, and communications technologies to beam in medical experts to remote locations for everything from consultations to surgical procedures. Telemedicine, which could decentralize healthcare by distributing doctors into local communities virtually, could ease shortages of nurses and doctors and potentially cut healthcare costs.

Sign in to report inappropriate content. Hear from Akshaya Bhargava and Bruce Keith--Bridgeweave's Founder and COO--as they discuss challenges in the space of Wealth Management and FinTech and how AI will enhance customer experience.

CAPE TOWN – One of the major drivers of the Fourth Industrial Revolution (4IR) or the age of intelligentisation is the major advances in Artificial Intelligence (AI) that are supporting and even taking over from humans in many situations. AI is increasingly replacing humans where knowledge could be learned or the decision-making formula is known. It is in particular the AI abilities of machine learning and deep learning that makes AI so powerful in numerous fields. Machine learning refers to the ability of computer systems to learn by itself and to adapt accordingly, allowing them to perform a specific task without explicit instructions. In the Business Report of last Friday I illustrated that AI even transforms the disciplines based on "human touch" such as social work and is used to predict successful youth influencers in an HIV campaign; match homeless people with the best-suited housing and most effective social interventions; and select vulnerable families and children in need of intervention.

Fior Markets offers a latest published report on Global Machine Learning in Finance Market Growth (Status and Outlook) 2019-2024, providing key insights and giving a competitive advantage to consumers through a detailed report. The researchers have included essential figures associated with the production and consumption forecast for the major regions that the market is separated into consumption forecast by application and production forecast by type. The research study is a source of methodical information rich in both quantity and quality. It shows upcoming as well as future opportunities, revenue growth, pricing, and profitability, focusing on both global and the regional market. The report identifies the key trends related to the different sectors of the market. Various important players have mentioned in the report are: Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, ZestFinance A top-to-bottom research wraps the market dynamics such as growth drivers, threats, opportunities, and challenges.

According to a new market study entitled "Artificial Intelligence in Aviation Market to 2027 – Global Analysis and Forecasts by Deployment Type (On-Premise and Cloud) and Industry Vertical (BFSI, Healthcare & Life Sciences, Retail & Consumer Goods, Manufacturing, Travel & Hospitality, IT & Telecommunication, Media & Entertainment, and Others) and Geography, "explains the report, explaining the key drivers of this growth and highlighting key market players and their evolution. The report factors this growth and also highlights the major players in the market and their developments. Growing urbanization has resulted in advent of several disruptive technologies including the artificial intelligence. The AI has become integrated fragment of almost the sectors and recently the technology has also taken a plunge into aviation sector. Autopilot and flight management system are some of the key areas of implementation of the AI in aviation industry.

A study by researchers at Bard College's Center for the Study of the Drone found that at least 95 countries currently own unmanned military drones. A report by researchers at Bard College's Center for the Study of the Drone estimated that 95 countries currently own unmanned military drones--up from 60 in 2010--and the infrastructure to support their operation also is expanding. Bard's Dan Gettinger said drones "are featuring more prominently in world affairs, as we've seen most recently in the Saudi drone attacks." The report found the U.S. monopoly on long-distance military drones is eroding, with at least 10 nations, including Azerbaijan and Nigeria, using drones to launch strikes. Fifteen countries have training academies for drone operators, according to the report.

For those who are new to AI, Machine Learning, and Deep Learning, I recommend taking a look at the following article entitled "An Introduction to AI." I will refer to Machine Learning and Deep Learning as being subsets of AI. Furthermore, this article is non-exhaustive in relation to potential applications of AI to healthcare and Quantum Computing to various sectors of the economy. The reason for the focus on AI in healthcare is in light of recent articles by a few senior medical practitioners in the US expressing concern about the role of AI in healthcare. Some of the concerns expressed, such as the need for improved sharing of data by healthcare participants including hospitals and ensuring the highest quality in the preparation of data, are entirely valid and I take the view that the need for access to data and sharing of data by hospitals may need to become a matter of political and regulatory concern.