Recent scrutiny of artificial intelligence (AI)–based facial recognition software has renewed concerns about the unintended effects of AI on social bias and inequity. Academic and government officials have raised concerns over racial and gender bias in several AI-based technologies, including internet search engines and algorithms to predict risk of criminal behavior. Companies like IBM and Microsoft have made public commitments to "de-bias" their technologies, whereas Amazon mounted a public campaign criticizing such research. As AI applications gain traction in medicine, clinicians and health system leaders have raised similar concerns over automating and propagating existing biases.1 But is AI the problem?

Report Scope: The scope of the report includes, a general outlook of the analytics industry, with the scope limited to reports published during the year 2016, 2017 and 2018. This report covers only advanced analytics, artificial intelligence, and cognitive computing technologies. GNW The advanced analytics market covers the following solutions: software tools, integrated hardware appliances, and services. The advanced analytics market comprises applications for the following industries: banking and financial services, telecommunications and IT, healthcare, government and defense, transportation and logistics, and consumer goods and retail. The AI market covers machine learning, deep learning, and expert systems as these are direct derivatives of analytics.Cognitive computing market in this report covers machine learning and expert systems.

The perception of agency and the way we explain an agent behavior play a role in the interaction with agentic things, like robotic object and intelligent playthings. Children easily imbue robotic objects and playthings with agency and explain their behavior on psychological term attributing intelligence relying on agency perception. However, human robot interaction researchers and practitioners often do not tackle in the design process how children make sense of a robot, its agency and how children explain a robot's behavior and intelligence. In this talk, I will shed light on these phenomena and their implications for child-interactions. I will argue that responsible human-centred design should play a more prominent role in the human-robot interaction design cycle to understand how children perceive a robot's agency and explain a robot's behavior.

The Dead Sea Scrolls, found by a shepherd boy in 1947, dating from roughly 200 BC through 100 AD, were remarkably well-preserved. Exciting finds like the Scrolls and the hieroglyphs of ancient Egypt tempt us to think that when a lost document is found, we will easily physically read it once we understand the language. Sadly, many surviving documents are so damaged that they cannot be read using traditional methods. All we know is that they are/were documents. Nowadays, the 1,700-year-old En-Gedi Scroll--one of the most ancient snippets of the Old Testament ever uncovered--isn't much to look at.

Artificial intelligence is touching almost every industry in the ongoing era of digital transformation. But what does it mean? Put simply, AI and machine learning -- a closely related idea -- are computer programs that emulate and learn human behavior to then make autonomous decisions. AI can be especially transformative in retail, helping almost every aspect of a retailer's business -- from utilizing data to drive sales, to automating the supply chain, or to hyper-personalize the customer experience. While AI can sound like some far-off idea, it's closer than you may think.

AI is now riding in the lap of luxury. Mercedes-Benz just took the wraps off the much-anticipated Mercedes-Maybach GLS SUV -- the largest model under the ultra-luxury brand today. The marquee feature of the vehicle's interior is the MBUX intelligent cockpit, powered by NVIDIA. The debut, which took place at the Guangzhou Auto Show, follows the launches of the automaker's latest performance SUVs -- the Mercedes-GLS AMG 63 and the Mercedes-GLE AMG 63 S -- on the other side of the globe at the Los Angeles Auto Show. Both models will also feature MBUX.

Description: The Health Group of Leidos is seeking a Scientific Information Analyst in Bethesda, MD. This position provides technical assistance to support accurate reporting of categorized research data to various groups as part of the NIH mission. The analyst maintains the accuracy of existing research category definitions, and works with experts in the field to present and develop new biomedical categories utilizing the indexing of research grant text. This position involves detailed work with NIH grant proposals, use of thesaurus-based natural language processing tools, documentation and data management, as well as collaboration with the team members and scientific experts at NIH's scientific centers. The Scientific Information Analyst provides technical presentations and demonstrations of data analyses and conclusions.

The firm has also developed a drone able to fly around the underground corridors of coal mines to detect gas emissions and other potential threats. Marcin Dziekanski, coordinator of the drone project of the Silesian metropolis, an alliance of more than 40 cities in the coal-mining Katowice region, said they use drones to monitor the smoke produced by coal-heated individual houses. "They fly over Katowice, over the buildings, as well as over other cities, enabling us to intervene, in cooperation with the city police, showing that we are monitoring our space, our environment," he told AFP, adding that "we are creating a set of good practices that we are sharing with others." Spartaqs considers itself above all a research firm looking into new technologies, though it has already sold a dozen drones--at an average price of 50,000 euros ($55,000) a pop--in Poland and Georgia. But the company has realised that buyers like the Saudis and the Americans, who are very interested in certain models, want to see "the plant where they are produced." So they have begun looking for investors, including abroad, who would like to participate in the development of a serial production line.

A shorter version of this article was originally published by Scientific American. With articles like these, the press will have you believe that machine learning can reliably predict whether you're gay, whether you'll develop psychosis, whether you'll have a heart attack, and whether you're a criminal – as well as other ambitious predictions such as when you'll die and whether your unpublished book will be a bestseller. Machine learning can't confidently tell such things about each individual. In most cases, these things are simply too difficult to predict with certainty. Researchers report high "accuracy," but then later reveal – buried within the details of a technical paper – that they were actually misusing the word "accuracy" to mean another measure of performance related to accuracy but in actuality not nearly as impressive.

"TechStyle brands utilize machine learning to cluster similar products based on different attributes, such as color, fabric, heel height, review information, etc., which then match customer clusters with product clusters to show users the most relevant information." This Los-Angeles based, avant-garde fashion group, which includes brands like, ShoeDazzle, Fabletics and JustFab, seamlessly ties personalization and vertical integration to create a winning combination of brick-and-mortar stores with online retail. We spoke to Danielle Boeglin, vice president of data analytics at TechStyle Fashion Group, to understand how the company marries data and fashion so successfully. From her approach toward customer experience to the role of AI and ML in personalization, Boeglin shares the most useful lessons for marketers in the digital retail space. In this exclusive with Martech Advisor, she throws light on TechStyle's experience with integrating the various components of their martech stack, and more.