DARPA September 7, 2018 Starting in the 1990s, DARPA helped usher in a second wave of AI machine learning technologies that created statistical pattern recognizers from large amounts of data. To address the limitations of the first and second wave AI technologies, DARPA seeks to explore new theories and applications that could make it possible for machines to adapt to changing situations. To better define a path forward DARPA announced a multi-year investment of more than $2 billion in new and existing programs called the “AI Next” campaign. Under AI Next, key areas to be explored may include automating critical DoD […]
Tag Archives: Artificial intelligence
Why AI researchers shouldn’t turn their backs on the military
MIT Technology Review August 14, 2018 According to the author of a recent book, Army of None: Autonomous Weapons and the Future of War, AI researchers must be a part of thes conversations, as their technical expertise is vital to shaping policy choices. We need to take into account AI bias, transparency, explainability, safety, and other concerns. AI technology has these twin features today—it’s powerful but also has many vulnerabilities, much like computers and cyber risks. Unfortunately, governments seem to have gotten the first part of that message (AI is powerful) but not the second (it comes with risks). AI […]
Accelerating the Exploration of Promising Artificial Intelligence Concepts
DARPA July 7, 2018 Artificial Intelligence Exploration (AIE) will constitute a series of unique funding opportunities that use streamlined contracting procedures and funding mechanisms to achieve a start date within three months of an opportunity announcement. Researchers will then work to establish the feasibility of new AI concepts within 18 months of award. The agency’s diverse portfolio of fundamental and applied AI research programs is aimed at shaping a future in which AI-enabled machines serve as trusted, collaborative partners in solving problems of importance to national security… read more. BAA
Institute launches the MIT Intelligence Quest
MIT News February 1, 2018 MIT has launched the MIT Intelligence Quest, an initiative to discover the foundations of human intelligence and drive the development of technological tools that can positively influence virtually every aspect of society. The Intelligence Quest will encourage researchers to investigate the societal implications of their work as they pursue hard problems lying beyond the current horizon of what is known. To power the Quest and achieve results that are consistent with its ambitions, the Institute will raise financial support through corporate sponsorship and philanthropic giving… read more.
Artificial intelligence needs to be socially responsible, says new policy report
Eurekalert May 10, 2018 In a policy report “On AI and Robotics: Developing policy for the Fourth Industrial Revolution“, researchers in the UK contend that the development of new Artificial Intelligence technology is often subject to bias, and the resulting systems can be discriminatory, meaning more should be done by policymakers to ensure its development is democratic and socially responsible. In these ‘data-driven’ decision-making processes some social groups may be excluded, either because they lack access to devices necessary to participate or because the selected datasets do not consider the needs, preferences and interests of marginalised and disadvantaged people…read more.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – April 2018
Inside Big Data May 7, 2018 In this recurring monthly feature, Inside Big Data filters recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the past month… read more.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – February 2018
Inside Big data March 16, 2018 The articles listed in here represent a fraction of all articles appearing on the preprint server. A brief overview of each paper and a link to the paper are provided… read more.
China versus USA in AI potential
Next Big Future March 19, 2018 According to Oxford and the Future of Humanity report on China’s AI plans China is still far behind on hardware but ahead in mobile and data and lagging in algorithms and commercial AI companies. China has relied on imports and acquisitions to boost the most immediately relevant aspects of AI hardware. As this strategy has come under more scrutiny by the U.S. and EU, China is promoting national champions in its domestic chip-making industry and making long-term bets on powerful supercomputing facilities… read more.
China wants to shape the global future of artificial intelligence
MIT Technology Review March 16, 2018 China isn’t just investing heavily in AI—its experts aim to set the global standards for the technology as well. Chinese companies would be required to adhere to these standards, and as the technology spreads globally, this could help China influence the technology’s course. China’s booming AI industry and massive government investment in the technology have raised fears in the US and elsewhere that the nation will overtake international rivals in a fundamentally important technology. In truth, it may be possible for both the US and the Chinese economies to benefit from AI. But there […]
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
ArXiv March 3, 2018 In this report researchers at the University of Dayton present a brief survey on the development of DL approaches, including Deep Neural Network, Convolutional Neural Network, Recurrent Neural Network including Long Short-Term Memory and Gated Recurrent Units, Auto-Encoder, Deep Belief Network, Generative Adversarial Network, and Deep Reinforcement Learning. DL approaches explored and evaluated in different application domains are also included in this survey. Recently developed frameworks, SDKs, and benchmark datasets that are used for implementing and evaluating deep learning approaches are included… read more. Open Access TECHNICAL ARTICLE