AI focusses on the creation of intelligent machines that can perform functions like speech recognition, learning & problem solving.

Three decades and hundreds of millions of lines of computer code after graduating from the Milwaukee School of Engineering, NVIDIA's Dwight Diercks returned today to celebrate a donation that will put his alma mater at the forefront of AI undergraduate education. Diercks, who grew up the son of a mailman, working on his family's pig farm in Red Wing, Minnesota, came to NVIDIA as its 22nd employee. Today, he oversees a team of some 5,000 software engineers around the world who ship tens of millions of lines of code each month that help accelerate the world's computing. Diercks' $34 million gift, the largest from an alum in MSOE's 116-year history, is the keystone in the school's efforts to infuse its engineering program with artificial intelligence. Two years ago, MSOE became one of the very few programs, together with Carnegie Mellon, to offer a computer science degree focused on AI.

These startups are applying AI to discover new drugs, remotely monitor patients, securely transfer patient data, and more. Healthcare has become a crucial area for artificial intelligence research and applications. Startups in the space are leveraging AI technology to help individual consumers, clinicians, and hospital systems improve everything from fitness to clinical trials to diagnostics. For example, consumers are adopting virtual assistants to inquire about symptoms and using applications to track fitness metrics. Meanwhile, radiologists are using computer vision to discern between malignant and benign cells, while hospital systems are deploying AI-driven software to analyze the financial risk of individual patients on behalf of insurers.

One morning a few weeks ago Stephen Foot, a warehouseman from Enfield, woke up in a London hospital to discover the unlikely harbinger of a coming medical revolution. This Ghost of Healthcare to Come took the form of a nephrologist at the end of his bed. "That was the last thing I was expecting," he tells me. "Somebody from the renal department to come and say, 'Oh, by the way, there's something going on that has sparked an alert on your kidney.'" Foot had entered hospital because of his foot.

We cannot deny that this technology has made its place in many people's heart. But still, we will tell you a brief introduction to machine learning. Machine learning or ML usually defines as an application of Artificial Intelligence. It has the ability to make computers predict something automatically. There are two major types of machine learning algorithms.

A fun pastime for armchair philosophers of technology is whether the entire field of artificial intelligence, so riven with hype at the moment, will any day now experience a crushing fall-off in enthusiasm and a consequent collapse in funding. It's the notion of an "AI winter," and it has hit the field a couple of times in the past forty years, right after big breakthroughs. The answer is No, there won't be an AI winter. It's different for a simple reason: artificial intelligence, in its latest incarnation, called deep learning, has become "industrialized." For the first time ever, AI is part of how companies work.

Next week at AI Research Week, hosted by the MIT-IBM Watson AI Lab in Cambridge, MA, we will publish the first major release of the Adversarial Robustness 360 Toolbox (ART). Initially released in April 2018, ART is an open-source library for adversarial machine learning that provides researchers and developers with state-of-the-art tools to defend and verify AI models against adversarial attacks. ART v1.0 marks a milestone in AI security, introducing new features that extend ART to conventional machine learning models and a variety of data types beyond images: The number of reports on real-world exploitations using adversarial attacks against AI is growing, as in the case of anti-virus software, highlighting the importance of understanding, improving and monitoring the adversarial robustness of AI models. ART provides a comprehensive and growing set of tools to systematically assess and improve the robustness of AI models against adversarial attacks, including evasion and poisoning. In evasion attacks, the adversary crafts small changes to the original input to an AI model in order to influence its behaviour.

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.

Mindtree, a global technology services and digital transformation company, today revealed the findings of its recent survey of AI usage across enterprises. The study found most businesses are well underway with AI experimentation, but many still lack an understanding of the use cases to deliver business value and the data infrastructures for making AI a success across the enterprise on a sustainable basis. The survey, which gathered data from 650 global IT leaders from key business markets, found 85% of organisations have a data strategy and 77% have implemented some AI-related technologies in the workplace, with 31% already seeing major business value from their AI efforts. Organisations are achieving their vision to industrialize AI, but many can do more to gain real business value. When implementing an AI strategy, there's a pressing need for use cases to demonstrate business value.

On a recent weeknight, Dahlia and Adam Brown came home to their spacious Colonial on a quiet cul-de-sac in Marietta, Ga. The Browns both work demanding jobs and have two young sons. They bought the house in June using Knock, a company that's trying to revolutionize the real-estate industry with a "home trade-in platform" making it easier to buy and sell at once. That solution was ideal for the Browns, who are just as busy as most couples but more introverted, making the idea of prospective buyers tramping through their private space seem excruciating. Across town, Martha Seay was overseeing movers in a rambling brown ranch-style house nestled among tall hickory trees. The day before, she had closed on the sale of the house, where she and her husband had raised their family, to the real-estate company Zillow.