ROTC students at Old Dominion subdued and killed ISIS-linked gunman who left one dead, two wounded after shouting'Allahu Akbar' and opened fire Horrifying next twist in the Alexander brothers case: MAUREEN CALLAHAN exposes an unthinkable perversion that's been hiding in plain sight Kentucky mother and daughter turn down $26.5MILLION to sell their farms to secretive tech giant that wants to build data center there Hollywood icon who starred in Psycho after Hitchcock dubbed her'my new Grace Kelly' looks incredible at 95 Kylie Jenner's total humiliation in Hollywood: Derogatory rumor leaves her boyfriend's peers'laughing at her' behind her back Tucker Carlson erupts at Trump adviser as she hurls'SLANDER' claim linking him to synagogue shooting Ben Affleck'scores $600m deal' with Netflix to sell his AI film start-up Long hair over 45 is ageing and try-hard. I've finally cut mine off. Alexander brothers' alleged HIGH SCHOOL rape video: Classmates speak out on sickening footage... as creepy unseen photos are exposed Heartbreaking video shows very elderly DoorDash driver shuffle down customer's driveway with coffee order because he is too poor to retire Amber Valletta, 52, was a '90s Vogue model who made movies with Sandra Bullock and Kate Hudson, see her now Model Cindy Crawford, 60, mocked for her'out of touch' morning routine: 'Nothing about this is normal' A biochemist has claimed to have found evidence that the modern Lyme outbreak in the US could have been the result of CIA bioweapon experiments. Dr Robert Malone, who helped lay the groundwork for mRNA vaccine technology, made the explosive allegations this week after analyzing declassified government documents, historical records from Cold War biological weapons programs and scientific research on tick-borne diseases . Malone highlighted experiments in the 1960s that allegedly released more than 282,000 radioactive ticks in Virginia and open-air tick research at Plum Island, a federal laboratory located near the Connecticut community where Lyme disease was first identified.

Text summarization is a user-preference based task, i.e., for one document, users often have different priorities for summary. As a key aspect of customization in summarization, granularity is used to measure the semantic coverage between the summary and source document. However, developing systems that can generate summaries with customizable semantic coverage is still an under-explored topic. In this paper, we propose the first unsupervised multi-granularity summarization framework, GranuSum. We take events as the basic semantic units of the source documents and propose to rank these events by their salience. We also develop a model to summarize input documents with given events as anchors and hints. By inputting different numbers of events, GranuSum is capable of producing multi-granular summaries in an unsupervised manner. Meanwhile, we annotate a new benchmark GranuDUC that contains multiple summaries at different granularities for each document cluster. Experimental results confirm the substantial superiority of GranuSum on multi-granularity summarization over strong baselines. Further, by exploiting the event information, GranuSum also exhibits state-of-the-art performance under the conventional unsupervised abstractive setting. Dataset for this paper can be found at: https://github.com/maszhongming/GranuDUC

Artificial Intelligence (AI), is a societal buzzword that now crosses every area of human experience. Whether it is our leisure activities, our medical interventions, our banking transactions or our shopping pursuits, AI is now pivotal to the way in which we conduct our personal lives. This phenomenon has not emerged haphazardly, but is a trajectory that has ensued from the benefits that business has enjoyed from its use, and one that now every area of commerce needs to employ, and maintain, in order to enjoy any success. According to IBM, 65 percent of all organisations will have accelerated the use of digital technologies by 2022 and more than 85 percent of advanced adopters are reducing operating costs. Artificial Intelligence is here to stay.

As part of the MIT Task Force on the Work of the Future's series of research briefs, Professor Thomas Malone, Professor Daniela Rus, and Robert Laubacher collaborated on "Artificial Intelligence and the Future of Work," a brief that provides a comprehensive overview of AI today and what lies at the AI frontier. The authors delve into the question of how work will change with AI and provide policy prescriptions that speak to different parts of society. Thomas Malone is director of the MIT Center for Collective Intelligence and the Patrick J. McGovern Professor of Management in the MIT Sloan School of Management. Daniela Rus is director of the Computer Science and Artificial Intelligence Laboratory, the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science, and a member of the MIT Task Force on the Work of the Future. Robert Laubacher is associate director of the MIT Center for Collective Intelligence.

A landmark battle raged in New York City on May 11, 1997. This contest was dubbed the brain's last stand and considered the proverbial human-versus-machine duel. In the end, IBM's Deep Blue routed the World Chess Champion at the time, Garry Kasparov. It changed the way humans looked at Artificial Intelligence (AI). Over the next two decades, AI has grown a lot smarter.

Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.

Work must be reshaped in the upcoming new era characterized by new challenges and the presence of new technologies and computational tools. Over-automation seems to be the driver of the digitalization process. Substitution is the paradigm leading Artificial Intelligence and robotics development against human cognition. Digital technology should be designed to enhance human skills and make more productive use of human cognition and capacities. Digital technology is characterized also by scalability because of its easy and inexpensive deployment. Thus, automation can lead to the absence of jobs and scalable negative impact in human development and the performance of business. A look at digitalization from the lens of Sustainable Development Goals can tell us how digitalization impact in different sectors and areas considering society as a complex interconnected system. Here, reflections on how AI and Data impact future of work and sustainable development are provided grounded on an ethical core that comprises human-level principles and also systemic principles.

"For most real problems, there aren't perfect answers," writes Thomas W. Malone. "But when they are connected in the right ways, groups of people and computers together can often get closer to perfect intelligence than either could alone." Malone, who is the Patrick J. McGovern Professor of Management at the MIT Sloan School of Management and the founding director of the MIT Center for Collective Intelligence, explores the potential of such connections in his new book, Superminds: The Surprising Power of People and Computers Thinking Together, from which this excerpt is taken. Will general AI be a form of collective intelligence? We know that the human brain is itself a form of collective intelligence.

An increasing amount of focus is being placed on the integration of AI into traditionally human domains. Whether it be manufacturing, HR departments or cookery, robots are being built to help out in any given industry. It is easy to talk about the importance of smooth integration, but how can this be achieved? Are there already examples of this being achieved? Human employees can learn to work alongside AI, pooling their strengths together for a greater outcome.

Artificial intelligence dominates the headlines, part promise and part specter, as society grapples with how technology is changing the way we work and live. Both hype about AI's immediate potential and fear about its effects are exaggerated, according to MIT Sloan professorThomas W. Malone,director of the MIT Center for Collective Intelligence. A realistic understanding of artificial intelligence and the promise of robotics, machine learning, and natural language processing is increasingly important for businesses. The 2018 AI Index report found increased interest in the topic around the world, including substantial increases in AI research, investment in AI startups, enrollment in AI college courses, and jobs that require deep learning skills. "A lot of senior executives and business leaders today are almost desperate to understand how AI may affect their businesses," said Malone, who teaches a popular executive education course on artificial intelligence and business strategy.