Neural networks are considered complicated and they are always explained using neurons and a brain function. Let us start with logistic regression. The logistic regression yields values form 0 to 1, and we can consider the process as making a evaluation. Note that this is how a logistic regression functions.

New Delhi: Tech giant IBM is looking at engaging with developers in India in areas like artificial intelligence, machine learning and Internet of Things (IoT) to help them hone their skills for new technology trends. From India's perspective, we think it is the right time for developers to work on technology areas like AI, ML, data science and we want to help them in their journey," IBM India/SA country leader developer ecosystem and start-ups Seema Kumar told PTI. Using IBM technology, say for example Watson, developers can come out with solutions that can help solve problems in not just their community but also in others, she said. IBM's Watson is a cognitive artificial intelligence platform that can analyse huge amounts of data.

The lab will not exist in a physical structure, but via a virtual, digital network of researchers working on problems from their respective locations. China also benefits from having a fast- growing domestic platform economy which provides a foundation from which its AI startups can succeed abroad.

Understanding the difference between the causation and prediction policy problem is a critical first step for developing AI tools. Building powerful AI tools that aid decisionmaking (or make decisions outright) depends on the availability of large volumes of data. Finally, as we increasingly leverage AI tools for sorting, recommending, and making decisions, we have to pay attention to protecting these tools from hackers. Coordinated initiatives across public agencies are a good first step towards protecting data from hackers, particularly as AI tools become a critical component for public service delivery.

A famous example of an algorithm is Google's PageRank, which determines the order in which websites appear in Google's search rankings. Roughly 50% of the market moves through high frequency trading – the process of using dedicated programs to make automated trading decisions to place orders. The remarkable thing about deep learning is that it goes beyond what any human can program a computer to do. An era where "things" will communicate autonomously and take actions without human intervention is sure to profoundly impact our society.

The process is called machine learning, and with the right algorithms we can train a computer to recognize objects in images. To understand an image, intelligent machines need to complete several steps, or "layers" of processing to identify all the features that make up the whole. With deep learning, a computer performs several layers of processing in order to identify objects in an image. With multiple detectors that each recognize a specific part of the dog, computers can better recognize that object.

When Apple announced plans earlier this year to expand its engineering operation in Seattle, the company said it would be looking for "the best people who are excited about AI and machine learning." Job listings on the tech giant's website reveal just who Apple hopes to attract on its Siri Advanced Development team. You will be working in the Siri Advanced Development team, at Apple. Computer scientist Carlos Guestrin, who is Apple's director of machine learning, told GeekWire in February about the hopes and plans for Apple's team in Seattle, which was moving into two floors in Two Union Square.

Verizon Ventures led the Series B funding round with participating from The Boeing Company, through its Boeing HorizonX unit. "Having industry stalwarts, Verizon and Boeing, support our existing investors in funding this new round of growth serves as tremendous validation of our technology and track record. Our real world deployments and on the ground successes speak to the broad applicability of SparkCognition's AI technology, and the tremendous promise of AI in general." The company previously raised more than $16 million from investors such as Michael Dell's private equity arm, MSD Capital, The Entrepreneur's Fund, Alameda Ventures, Verizon Ventures, CME Ventures, and Brevan Howard.

Li Deng, who joined the tech firm straight out of academia 17 years' ago, has just joined Citadel's hedge fund operation in Seattle, but will work also across Chicago and New York. Deng announced his move to Citadel on LinkedIn yesterday, saying that he was "very excited about the opportunities for artificial intelligence innovation here and the firm's passion for growing its leadership in this space." Citadel is the latest big buy-side firm to create a new role heading up AI and machine learning as hedge funds rely on ever-more complex datasets to gain an edge over the competition. The co-founder of Deutsche Bank's all-important innovation labs has just joined Bank of America.