What happens as more of the world's computer tasks get handed over to neural networks? That's an intriguing prospect, of course, for Nvidia, a company selling a whole heck of a lot of chips to train neural networks. The prospect cheers Bryan Catanzaro, who is the head of applied deep learning research at Nvidia. "We would love for model-based to be more of the workload," Catanzaro told ZDNetthis week during an interview at Nvidia's booth at the NeurIPS machine learning conference in Montreal. Catanzaro was the first person doing neural network work at Nvidia when he took a job there in 2011 after receiving his PhD from the University of California at Berkeley in electrical engineering and computer science.

What happens as more of the world's computer tasks get handed over to neural networks? That's an intriguing prospect, of course, for Nvidia, a company selling a whole heck of a lot of chips to train neural networks. The prospect cheers Bryan Catanzaro, who is the head of applied deep learning research at Nvidia. "We would love for model-based to be more of the workload," Catanzaro told ZDNetthis week during an interview at Nvidia's booth at the NeurIPS machine learning conference in Montreal. Catanzaro was the first person doing neural network work at Nvidia when he took a job there in 2011 after receiving his PhD from the University of California at Berkeley in electrical engineering and computer science.

Innovative technologies such as Mobile, Cloud computing, Internet of Things (IoT), Artificial Intelligence (AI), and robots have revolutionized the automation and intelligence of digital technology over the last decade. Similarly, due to the rapid penetration of aforementioned technologies, India digital transformation market generated revenue of $24.5 billion last year, and it is projected to advance at a CAGR of 74.7 per cent during the forecast period (2019–2024), according to Prescient and Strategic (P&S) Intelligence. With overall growth in the information and communication technology (ICT) sector, the country is also expected to increase the rate of digital transformation in the coming years with CIOs looking to make the best use of it, so as to increase productivity, enhance efficiency and improve customer experience. By region, North, South, East, and West are the categories of the digital transformation market in India. Out of which, South India is predicted to be the largest as well as fastest-growing market, registering a CAGR of more than 75.0 per cent in the aforementioned forecast period.

The existence of an app to manage just about any financial operation today has led to an explosion of data. To cope with a rapid growth in information Banking, Financial Services and Insurance (BFSI) companies have been compelled to embrace a data-centric philosophy as part of their digital transformation journey. However, while embarking on this journey, companies should have a clear understanding of what they are trying to achieve or solve. This is what Bhavesh Lakhani, Senior Vice President and Head-IT, SBI Mutual Funds told Prakash Mallya, Vice President and Managing Director, Sales & Marketing Group of Intel India at the Intel Data-Centric Innovation Summit recently. Though SBI started its digital transformation journey three years ago intending to become the most preferred mutual fund company in India and overseas, physical forms continue to contribute over 80 percent of its revenues.

Being the most innovative university in Germany, FAU has been strong in the subject of Artificial Intelligence for the past five decades. As a full spectrum university FAU pursues an interdisciplinary approach on this topic. With the newly launched FAU AI MAP the different disciplines are brought even closer together and move AI to a new level – true to the university motto "Knowledge in Motion". Being the most innovative university in Germany, FAU has been strong in the subject of Artificial Intelligence for the past five decades. As a full spectrum university FAU pursues an interdisciplinary approach on this topic.

Based on some of our recent research and learnings, here are some of the most common use cases of Artificial Intelligence and Machine Learning techniques used in finance. This link is a good introduction of machine learning. This article is good read for both technical and non technical people. Fraud detection is topic that is applicable to many industries like Banking, Finance, Insurance, Government policies etc. Recent rise in digitization fraud is becoming the major problem that finance and banking institutions faces.

Pranav Tyagi, Founder, President & CEO, Tango Pranav Tyagi has over 18 years of industry experience in store lifecycle management and integrated workspace management working with a wide range of clients across retail, restaurants, REITs, healthcare, and banking/financial services. Prior to founding Tango in 2008, Tyagi helped develop and lead the Retail/Real Estate consulting practices at BearingPoint, Ernst & Young, and Deloitte Consulting. His areas of expertise include strategic planning, geospatial analytics, market planning, site selection, design and construction, lease administration, and facilities management. Tyagi holds an MBA in Strategy and Marketing Research from The University of Texas at Dallas, a Master of Science in Information Systems, and a bachelor's degree in Mechanical/Industrial Engineering. He also completed the Leading Professional Services Firms program at Harvard Business School.

Technology popularized by films like artificial intelligence, I Robot, and The Bicentennial Man, in which machines acquire human characteristics, Artificial Intelligence has emerged in recent years from the field of science fiction to real life. To get an idea of the industry's potential, according to a research study by Research and Markets, the artificial intelligence solutions market will drive more than $23 billion by 2025, with a 44 percent annual growth rate. For those who are not yet familiar with the term, it defines the area of computer science that aims to develop systems and equipment capable of simulating the human capacity to reason and consequently make decisions and perform tasks. At the last CES (Consumer Electronics Show) in Las Vegas, the world's largest technology fair, artificial intelligence was one of the highlights of the event, showing that the technology is expected to hit home appliances and electronics in 2018. Companies like LG and Samsung they announced at the event equipment such as TVs, refrigerators, stoves and washing machines with the ability to "talk" to each other, respond to voice commands and even learn from users' habits.

During its 1353rd meeting on 11 September 2019, the Committee of Ministers of the Council of Europe set up an Ad Hoc Committee on Artificial Intelligence – CAHAI. The Committee will examine the feasibility and potential elements on the basis of broad multi-stakeholder consultations, of a legal framework for the development, design and application of artificial intelligence, based on Council of Europe's standards on human rights, democracy and the rule of law.

AI and machine learning is expected to play a big role in radiology and medical imaging as algorithms speed up the review process.