Best listening experience is on Chrome, Firefox or Safari. As agencies continue to experiment with artificial intelligence as a tool to transform the way they do business, the National Institute of Standards and Technology has set a roadmap for the government's role in developing future AI breakthroughs. After months of feedback from industry and elsewhere in government, as well as an in-person workshop in May, NIST has laid down some ground rules of what agencies should and shouldn't do with AI tools going forward. NIST's plan marks the federal government's first major effort to provide clarity and guidance to agencies looking to adopt a technology that, while buzzworthy now, actually dates back to the 1960s, yet still remains in its infancy. Insight by Trezza Media Group: Labor Department, U.S. Marshals Service, SBA and VA address IT modernization in this free webinar.

This article will focus on the impact of AI, 5G, Edge Computing on the healthcare sector in the 2020s as well as a section on Quantum Computing's potential impact on AI, healthcare and financial services. The next in the series will deal with how we can use AI in the fight against climate change including the protection of the Amazon, smart cities and AGI. 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 ...

Jack Ma, the billionaire founder of Chinese ecommerce giant Alibaba, has vigorously endorsed China's grueling "996" culture, or working from 9 a.m. to 9 p.m. six days a week. But now he has an even bolder vision for the future of work thanks to artificial intelligence: the 12-hour workweek. In the future, people may end up working only three days a week, with only four hours of work per day, Ma said at the World Artificial Intelligence Conference in Shanghai on Thursday, according to Bloomberg News. In Ma's view, the development of AI could free humanity to partake in activities other than work, with the entrepreneur comparing AI with the advent of electricity. "The power of electricity is that we make people more time so that you can go to karaoke or dancing party in the evening. I think because of artificial intelligence, people will have more time enjoying being human beings," he said, Bloomberg reported.

By Jayadipta Chatterji Mehta In a joint initiative with industry, the government has set up four centres for promoting industry 4.0, across the country. However, there is a need for at least 20 such institutions to create best practices and spread the awareness of artificial intelligence (AI) products and its adoption by industry. An initiative of the Engineering Export Promotion Council (EEPC) together with the department of heavy industries, these are four demonstration centres that will escalate manufacturing to a smart and intelligent hub. Their task is to enhance competitiveness in every industry cluster across the country. They include the Centre for Industry 4.0 (C4i4) Lab in Pune; IITD-AIA Foundation for Smart Manufacturing; I4.0 India at IISc Factory R&D Platform; and Smart Manufacturing Demo & Development Cell at CMTI.

It may not yet be clear how societies will guard against the potential downside of artificial intelligence -- including algorithmic bias, invasions of privacy and unjustified profiling -- but it's already abundantly clear that safeguards are needed. That's the bottom line from Wednesday night's panel discussion on AI bias, presented in Seattle by EqualAI and LivePerson. Both of the panel's presenters have a stake in figuring out how to address AI's downsides: LivePerson is interested in how chatbots and other AI-enabled tools can smooth interactions between companies and the customers they serve, while EqualAI is an initiative supported by the likes of Arianna Huffington, Wikipedia's Jimmy Wales and LivePerson CEO Robert Locascio to reduce AI bias. "Companies are creating AI to change the world," said EqualAI executive director Miriam Vogel, who focused on equal-pay issues and bias training for law enforcement during her time at the Obama White House and the Justice Department. "They're trying to do good, they're trying to reach people who have not been reached, start conversations that haven't happened otherwise -- knowing that [implicit bias] is not necessarily coming from a malicious act. It's coming from human actions," she said.

If a large mechanized unit of armored ground forces were "closing" with an enemy amid heavy artillery and cannon fire - but did not have overhead aircraft or satellite surveillance while transiting rigorous terrain - how could they fully discern the source of incoming fire? How might they pursue the safest and most lethal method of attack? This kind of scenario represents one of many contingencies now informing the Army's development of a new Infantry Squad Vehicle (ISV), a super high-speed, maneuverable lightweight vehicle being engineered to perform a wide sphere of combat missions; these include high-speed straight-on attacks, forward operating reconnaissance or scout units, coordinated air-dropped ground assault and multiple entry point integrated operations. Perhaps long-range ground sensors are obscured, hacked or disabled, air support is compromised, or GPS signals are jammed -- how might an advancing ground force attack a major-power enemy? Fast-moving, soldier-led ground reconnaissance might be the best ISR (intelligence, surveillance, reconnaissance) options for the attacking force.

Sometime around 1 am on a warm night last June, Fei-Fei Li was sitting in her pajamas in a Washington, DC, hotel room, practicing a speech she would give in a few hours. Before going to bed, Li cut a full paragraph from her notes to be sure she could reach her most important points in the short time allotted. When she woke up, the 5'3" expert in artificial intelligence put on boots and a black and navy knit dress, a departure from her frequent uniform of a T-shirt and jeans. Then she took an Uber to the Rayburn House Office Building, just south of the US Capitol. Before entering the chambers of the US House Committee on Science, Space, and Technology, she lifted her phone to snap a photo of the oversize wooden doors.

Community health systems operating in remote areas require accurate information about where people live to efficiently provide services across large regions. We sought to determine whether a machine learning analyses of satellite imagery can be used to map remote communities to facilitate service delivery and planning. We developed a method for mapping communities using a deep learning approach that excels at detecting objects within images. We trained an algorithm to detect individual buildings, then examined building clusters to identify groupings suggestive of communities. The approach was validated in southeastern Liberia, by comparing algorithmically generated results with community location data collected manually by enumerators and community health workers. The deep learning approach achieved 86.47% positive predictive value and 79.49% sensitivity with respect to individual building detection. The approach identified 75.67% (n 451) of communities registered through the community enumeration process, and identified an additional 167 potential communities not previously registered. Several instances of false positives and false negatives were identified.

SonicWall President and CEO Bill Conner was featured as part of an exclusive group of cybersecurity thought-leaders at The Chertoff Group Security Series Event, "AI, Threat Intelligence and The Cyber Arms Race," on June 18. Conner was flanked by Christopher Krebs, Director of Cybersecurity and Infrastructure Security Agency (CISA) in the Department of Homeland Security; Dimitri Kusnezov, Deputy Under Secretary for Artificial Intelligence & Technology, Department of Energy; along with panel moderator Chad Sweet, Chief Executive Officer and Co-Founder, The Chertoff Group. Together, they took to the stage to discuss how AI solutions are being leveraged to prevent, detect and respond to the cyber threats attacking both critical public infrastructure and the private sector. The wide-ranging discussion took on everything from election cybersecurity to self-driving cars, but was grounded by a focus on how AI is increasingly growing in importance when running cyber defenses in both the public and private sectors. With this in mind, they looked at the increasing number of'have and have-nots' in these areas with Conner pointing out that an underfunded agency or a small company simply doesn't "have the resource -- capital or human" to defeat a major cyberattack without AI-based cyber defenses such as SonicWall Real-Time Deep Memory InspectionTM (RTDMI) that can both detect and prevent existing and never-before-seen cyberattacks as they appear.

About Massimiliano Versace I am the co-founder andam the co-founder and CEO of Neurala Inc., a Boston-based company building Artificial Intelligence emulating brain function in software. Neurala commercializes a new Deep Learning technology called Lifelong-DNN which revolutionizes AI by enabling continuous learning even on small compute devices. Over my academic and industrial career, I have co-founded the Boston University Neuromorphics Lab, authored dozens among academic papers, book chapters, and patents, and lectured at dozens of events and venues, including TEDx, keynote at Mobile World Congress, DARPA, the Pentagon, GTC, InterDrone, Los Alamo National Lab, GE, Air Force Research Labs, HP, iRobot, Samsung, LG, Qualcomm, Huawei, Ericsson, BAE Systems, AI World, Mitsubishi, ABB and Accenture, among many others. My work has been featured in in TIME, IEEE Spectrum, Fortune, CNBC, The Boston Globe, Xconomy, The Chicago Tribune, TechCrunch, VentureBeat, Nasdaq, Associated Press and many other media. Career and company awards include: CB Insights 100 Most Promising AI Companies, Draper Venture Network Most Innovative Company, Disruptor Daily 100 Most Disruptive Companies, Edison Award Best New Product in Social Innovation.