Specifically, the assignment of meaningful tags (annotations) to each unique data granule is best achieved through collaborative participation of data providers, curators and end users to augment and validate the results derived from machine learning (data mining) classification algorithms. The annotations provide curation, provenance and semantic (scientifically meaningful) metadata about the data source and the data object being studied. The design and specification of a unique, meaningful, searchable and scientifically impactful set of tags can be achieved through collaborative (human-plus-machine) annotation efforts and through discovery informatics research. These steps will produce a searchable classification and indexing scheme for the curation, classification, discovery, reuse, interoperability, integration and understanding of digital repositories.

While most banks are offering banking facilities through mobile, DBS has said digibank has some unique features. Wherever they are, whatever their need, digibank customers can converse with digibank's AI-powered virtual assistant to get their queries answered or banking transactions performed. Because the virtual assistant understands natural language and has learning ability, it is able to respond in real-time. Most bank customers receive One-Time Passwords (OTPs) via SMS, and then typing codes into pages to authorise their mobile banking transactions.

The platform is called Mana and aims to drive automation and bring in innovation amongst businesses, the company said at its annual conference in San Fracisco. Mana, with the Infosys Aikido service offerings, lowers the cost of maintenance for both physical and digital assets; captures the knowledge and know-how of people in an organisation; simplifies core business processes and enables businesses to bring new user experiences leveraging technology, the company said in a statement. "We can automate the repetitive, mechanisable tasks; we can capture the knowledge and know-how across people and long-lived systems and bring this knowledge back inside the systems to drive more value; and in doing these things we can free people to put all of our creativity, passion, and imagination into thinking about the bigger opportunities ahead of us," he added. This initiative will be to simplify and automate migration of systems to Microsoft's products, to accelerate Microsoft Azure-based and other digital transformations for clients.

Austin-based SparkCognition, a startup applying artificial intelligence and machine learning to the cybersecurity market, has raised 6M in a Series B funding round. The funding came from CME Ventures, Verizon Ventures, The Entrepreneurs' Fund (TEF), and Alameda Ventures. The startup--led by Amir Husain--said the Series B was oversusbcribed. SparkCognition says it has developed machine learning technology which it is applying to both Internet-of-Things (IoT) and cyber security, to automatically detect and identify attacks in IoT infrastructure.

Specifically, Aarki has promoted Dr. Yumio Saneyoshi to senior vice president of product, and Mark Kalygulov to vice president of engineering. The company's proprietary mobile advertising platform - Aarki Encore - is widely recognized as the leading technology in the industry. About Mark Kalygulov Mark Kalygulov is the head of Aarki's diversely skilled engineering team. As vice president of engineering, Kalygulov will continue to grow Aarki's global infrastructure, expand the scale of existing projects and drive new technological initiatives.

The traditional approach to science involves collecting data, analyzing the data and publishing the findings in a paper. Microsoft, Google, Facebook and Amazon have been making remarkable progress developing artificial intelligence systems. Neither the motivations of DARPA nor OpenAI explain exactly why these commercial technology companies are open sourcing their AI code. Open-sourcing AI serves these companies' broader goals of staying at the cutting edge of technology.

This post is made up of a collection of 10 Github repositories consisting in part, or in whole, of IPython (Jupyter) Notebooks, focused on transferring data science and machine learning concepts. This warmup notebook is from postdoctoral researcher Randal Olson, who uses the common Python ecosystem data analysis/machine learning/data science stack to work with the Iris dataset. Aaron Masino has shared a series of very detailed, very technical machine learning IPython Notebook learning resources. From UC Boulder's Research Computing group, this older collection of notebooks (it's from way back in Fall 2013) covers a wide range of material, with an apparent focus on Linux command line-powered data management.

California: Internet giant Google has asserted that its Artificial Intelligence(AI) and cloud computing is the most lucrative and promising businesses in the tech industry. That AI type of service-based business is fast becoming the new way to reap profits in the tech industry, the California-based tech giant said. Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study which studies how to create computers and computer software that are capable of intelligent behaviour.

So I have a dashboard with reports I can interact with to understand why something happens, and that typically reduces the numbers of manual steps before I can make a decision and take some actions. Whether it's IoT, big data or analytics, companies have a lot more data to base their decisions on, and data-driven decision making sounds obvious. More positively, Avanade's new study of smart technologies says business leaders globally expect to be using digital assistants and automated intelligence for problem solving, analysing data, collaborating and making decisions – and they also expect them to increase revenues by more than a third. Certainly, early adopters that Accenture has spoken to who are using machine learning to improve the way they manage customer service, financial resources and risk and compliance, in sales and marketing and in developing new areas of business found "significant, even exponential, business gains" in costs, revenue and customer performance, by using a mix of what Oberoi calls "perceptual intelligence" using natural language and voice biometrics, advanced analytics and business decision support .