Agustín Ibáñez, a cognitive science researcher at Argentina's Ineco Foundation at Favaloro University, and Adolfo Garcia, a researcher at the National Scientific and Technical Research Council (CONICET), took an interesting tact towards understanding how the mind of a terrorist differs from the mind of, well, people who don't commit acts of terror. In a study released today in the journal Nature Human Behavior, Ibáñez and Garcia (along with research support from the Universidad Autonomoa del Caribe, Universidad los Andes, and ICESI University in Colombia, Chile's Universidad Adolfo Ibanez, and Boston College) studied the moral judgment of 66 terrorists. While terror attacks are a relatively new concept to Americans outside of the Jim Crow South, the country of Colombia spent more than twenty years under constant threat of terror attacks from paramilitary groups that have by some estimates killed as many as 70,000 people (a peace deal finally went through this year, leaving only one remaining group). Garcia, Ibanez and their colleagues had 66 incarcerated terrorists complete a host of cognitive functioning tests, assessments designed to test aggression, an emotion recognition assessment, and a moral judgment task.
In terms of scope, Gridsum Prophet encompasses all of the Company's AI capabilities: machine learning, natural language processing, image recognition, predictive industry modeling, and knowledge graph. Gridsum Prophet is an explicit and important development area for the Company and is increasingly key in creating new differentiated product features for the Company's existing products (e.g. By mining historical media buying and performance data and leveraging Gridsum's deep knowledge and expertise in the China marketing space, the Company's data science team has developed an automated industry modeling and marketing budget allocation model. This heavily leverages Gridsum's supervised machine learning algorithms that the Company has already successfully used to help clients in the financial industry to allocate their annual digital marketing budget across media channels to achieve optimal return on investment.
At the same time, employers and employees alike will need to look at reskilling their organisations and themselves as millions of job roles become defunct in the AI revolution, agreed both Andy Campbell (Oracle's EMEA strategy director) and Alex Charraudeau (sales manager for LinkedIn). Even specialist professional expertise such as legal advice is already being provided via chatbots, Campbell said, citing the example of an online service that has a 60% success rate in winning its cases. Sponsored and organised by professional services and technical recruiter Rullion and held at LinkedIn's headquarters, the AI event featured a panel consisting of Campbell, Charraudeau, technology entrepreneur Yi Xu, David D'Souza, CIPD head of engagement and London, and Paula Barrett, partner at law firm Eversheds Sutherland. Referring to the changes AI is bringing and will bring to the workplace, D'Souza said: "The issues we're facing are definitely societal… We need to think about whether we'should' do it instead of'could' we do it."
To enter the store, customers simply open the Amazon Go app and place it to a sensor located on what appears to be a turnstyle in the entrance. The app uses computer vision, sensor fusion and deep learning to detect what customers take off the shelves and what they end up putting back. This futuristic stores use the same types of technologies found in self-driving cars – computer vision, sensor fusion and deep learning. To enter the store, customers simply open the Amazon Go app and place it to a sensor located on what appears to be a turnstyle in the entrance way.
Crowd & Co is now using artificial intelligence to read, review and understand contracts to automate and streamline the contract review process on its online marketplace. The tool, which reduces repetitive administrative tasks for lawyers, was launched in partnership with LawGeex. It uses natural language processing and pre-defined criteria to automatically review and approve contracts, giving lawyers more focus on other tasks such as client strategy. Jarred Hardman, founder and CEO of Crowd & Co, said that automated contract reviews powered by artificial intelligence enable lawyers to improve and expand their practice, as well as boost revenue and produce better results for clients, without adding staff.
Founded in 2010, RAVN has developed an AI platform that can organize, discover and summarize relevant information from large volumes of documents and unstructured data. Businesses are using RAVN's unique technology to analyze legal documents like contracts and leases, identify information which is privileged or subject to compliance and automate document classification for easier search and governance. Together we will accelerate the adoption of practical AI solutions across the legal and corporate markets." In addition to continuing to develop RAVN's AI platform and contract analysis solutions, iManage will integrate RAVN's technology into iManage Work Product Management applications enabling organizations to: "We have used RAVN to report on multiple leases, extracting data for real estate due diligence," said Lucy Dillon, Chief Knowledge Officer, Reed Smith.
This transformation is based on the convergence of the real (analog) world and the virtual (digital) world by means of machineto- machine (M2M) communication, autonomous systems (for example, robotics) and the Internet of Things (IoT). But the enormous amounts of data (big data) generated by M2M communication and analyzed by the latest software and the newest generations of Industry 4.0 computers and the challenging capabilities of autonomous systems and machines are something more than the stuff of business executives' dreams. Major issues being discussed include data ownership (and, of course, data privacy and protection), regulatory issues concerning new Industry 4.0 products and liability questions regarding the actions of autonomous machines and devices. With regard to the protection of investments made by Industry 4.0 and digital business companies, these companies will have to work with their legal advisors to protect their innovations and inventions by means of intellectual property rights, for example, copyrights for software or patent rights for inventions.
Algorithms are increasingly making decisions that have significant personal ramifications, warns Matthews: "When we're making decisions in regulated areas – should someone be hired, lose their job or get credit," she says. Advertising networks served women fewer instances of ads encouraging high-paying jobs. Bias can also make its way into the data sets used to train AI algorithms. The software tended to predict higher recidivism rates along racial lines, said the ProPublica investigation.
Ridley Scott's extraterrestrial adventure "Alien: Covenant" is deadly serious about matters that he takes deadly seriously, and the only things that he derides with any irony--muffled and sardonic though it may be--are the movie's snippets of art greater than his own, by artists greater than himself--starting with Richard Wagner, whose "Entry of the Gods into Valhalla" is heard in the first and last scene. There are seven years left in the voyage, during which its crew and more than two thousand colonists--plus another thousand human embryos--are lodged in locked pods, asleep in an unaging suspended animation, as the ship is supervised by the android Walter (Fassbender), who is David's double but with an American accent. There, in isolation with Karine (Carmen Ejogo), Oram's wife, and another crew member, Maggie Faris (Amy Seimetz), his back bursts open and he gives birth to a slimy, boneless xenomorph. Scott's David is a stereotypical movie Nazi, from the air of refinement and the insinuating sexuality to the British accent; for that matter, with a tiny twist involving his misidentification of a poet, he's a walking reference to a Nazi villain in "Schindler's List."
Those who develop and sell AI understand the financial implications. But for the first time, AI will displace lots of knowledge workers – well-educated professionals – especially in the financial and service communities. This is the scary part of the story (not AI hostages or AI instigated Armageddon). What happens to the lawyers, accountants, medical diagnosticians, manufacturers, supply chain managers and customer service representatives when they're displaced?