Washington D.C: Researchers have developed trained AI agents capable of adopting human design strategies. Big design problems require creative and exploratory decision making, a skill in which humans excel. When engineers use artificial intelligence (AI), they have traditionally applied it to a problem within a defined set of rules rather than having it generally follow human strategies to create something new. The findings were published in the -- ASME Journal of Mechanical Design. This research considers an AI framework that learns human design strategies through observation of human data to generate new designs without explicit goal information, bias, or guidance.

NEW DELHI – As India prepares to install a nationwide facial recognition system in an effort to catch criminals and find missing children, human rights and technology experts warn of the risks to privacy from increased surveillance. Use of the camera technology is an effort in "modernizing the police force, information gathering, criminal identification, verification," according to India's national crime bureau. Likely to be among the world's biggest facial recognition systems, the government contract was due to be awarded Friday. But there is little information on where it will be deployed, what the data will be used for and how data storage will be regulated, said Apar Gupta, executive director of the nonprofit Internet Freedom Foundation. "It is a mass surveillance system that gathers data in public places without there being an underlying cause to do so," he said.

Recent surveys, studies, forecasts and other quantitative assessments of the progress of AI highlighted the role of augmented intelligence, combining human intelligence with artificial intelligence to produce better results in cybersecurity defense and in getting more business value from the use of IoT data. Two thirds of UK financial institutions report they use machine learning (ML) in some form; ML is most commonly used in anti-money laundering (AML) and fraud detection as well as in customer-facing applications (e.g. Analysis of about 150 Federal departments and agencies identified 171 different uses of machine learning. Two of the leading agencies were the Securities and Exchange Commission and the Social Security Administration. The SEC uses machine learning to help identify scammers who may engage in insider trading.

The AI World Conference & Expo is packed few days with news emanating from the Expo floor, the plenary sessions, a hackathon and tracks. There's more good stuff than a writer can possibly fit into post-event coverage. Our Reporters' Notebook comprises some of the bits and pieces that we collected over the three days in Boston. In an address to attendees of AI World 2019 in Boston recently, Paul F. Nemitz, principal Advisor, Directorate General and Justice and Consumers, European Commission, issued a warning about privacy. In a talk entitled, "Democracy, Ethics and the Rule of Law in the Age of AI," Nemitz provided the European view of privacy, calling the GDPR (General Data Protection Regulation, in effect May 2018) "the most sophisticated system for protecting personal data."

Artificial intelligence (AI) was invented to support humans. With time, it has developed into a technology that delivers results. Although expensive initially, AI has now become affordable for small businesses as well. According to a survey of CEOs from small and medium-sized businesses, 29.5% of CEOs have spoken in favour of AI technology and its various benefits on businesses. Artificial intelligence has garnered trust with time, and some big names such as Bill Gates and Elon Musk have become its supporters.

The following is an excerpt of You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place by Janelle Shane. Listen to a radio interview with Janelle Shane about the mistakes artificial intelligence can make. Will the music, movies, and novels of the future be written by AI? Maybe at least partially. AI-generated art can be striking, weird, and unsettling: infinitely morphing tulips; glitchy humans with half-melted faces; skies full of hallucinated dogs. AT. rex may turn into flowers or fruit; the Mona Lisa may take on a goofy grin; a piano riff may turn into an electric guitar solo.

We have to go back to the 19th century to find of the mathematical challenges that set the stage for this technology. For example, Bayes' theorem (1812) defined the probability of an event occurring based on knowledge of the previous conditions that could be related to this event. Years later, in the 1940s, another group of scientists laid the foundation for computer programming, capable of translating a series of instructions into actions that a computer could execute. These precedents made it possible for the mathematician Alan Turing, in 1950, to ask himself the question of whether it is possible for machines to think. This planted the seed for the creation of computers with artificial intelligence that are capable of autonomously replicating tasks that are typically performed by humans, such as writing or image recognition.

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Now roboticists say they want to try a similar approach with video to teach their charges how to interact with the environment. Sudeep Dasari at the University of California, Berkeley, and colleagues are creating a database called RoboNet, consisting of annotated video data of robots in action. For example, the data might include numerous instances of a robot moving a cup across a table. The idea is that anybody can download this data and use it train a robot's neural network to move a cup too, even if it has never interacted with a cup before.

The Latin root for "hospital" is from Old French "hoste," which means "host" or "guest." Synonyms for host are multitude, abundance and wealth. That's not what we think of when we imagine a hospital today. Too often we take what is presented without asking why. For example, why can't a hospital be more like a luxury hotel than a hospital?