Effective and efficient reasoning in adversarial environments is important for many real-world applications ranging from cybersecurity to military operations. Deliberative reasoning techniques, such as Automated Planning, often restrict to static environments where only an agent can make changes by its actions. On the other hand, such techniques are effective and can generate non-trivial solutions. To explicitly reason in environments with an active adversary such as zero-sum games, the game-theoretic framework such as the Double Oracle algorithm can be leveraged. In this paper, we leverage the notions of critical and adversary actions, where critical actions should be applied before the adversary ones. We propose heuristics that provide a guidance for planners about what (critical) actions and in which order have to be applied in a good plan. We empirically evaluate our approach in terms of quality of generated strategies (by leveraging Double Oracle) and CPU time required to generated such strategies.

UK government advised to'urgently' build up contact tracing capacity The UK House of Commons science and technology committee has made recommendations to the government based on evidence from its on-going inquiry into the role of science in the country's pandemic response. These include a call for the government to "urgently" build up capacity for contact tracing. The committee also recommended that the government be more transparent about the scientific advice it receives, asking that the published list of Scientific Advisory Group for Emergencies (SAGE) members be updated regularly. They also suggested the government set out a plan for tackling infections spread by people who do not have any covid-19 symptoms, and called for the systematic recording of the ethnicity of everyone who dies from the disease. The committee also urged the government to publish its rationale for concentrating coronavirus testing in a limited number of Public Health England laboratories, rather than making ...

In a change to the regular format, we're asking members to grab a glass of their favourite tipple and join us for an inspiring and informal evening webinar with last year's phenomenal BIMA Conference keynote speaker Nell Watson, Futurist and Technology Philosopher. In a conversation with bestselling author, technologist and and CEO of Vala Health Pete Trainor, she will share her views on the current situation we find ourselves in and what's next. Eleanor'Nell' Watson is a Machine Intelligence researcher who helped to pioneer Deep Machine Vision at her company QuantaCorp, which enables fast and accurate body measurement from just two photos. In sharing her knowledge as AI Faculty at Singularity University and author of Machine Intelligence courseware for O'Reilly Media, she realised the importance of protecting human rights and putting ethics, safety, and the values of human spirit into A.I. Nell serves as Chair & Vice-Chair respectively of the IEEE's ECPAIS Transparency Experts Focus Group, and P7001 Transparency of Autonomous Systems committee on AI Ethics & Safety, engineering credit score-like mechanisms to safeguard algorithmic trust.

On the far side of an office park in a suburb of Seattle, a supercomputer is teaching itself to beat the stock market. But inside this austere enclosure, an incredible alchemy is taking place. Four hundred computers blink and hum as market data is digested at a rate of one quadrillion calculations per second, firing order requests to electronic traders in Chicago, 2,000 miles away. Outside the containment, a bank of 10 glowing monitors displays the results as money rolls back in. Even now, as the world economy slumps into a recession, Jeff Glickman and his boutique investment firm, J4 Capital, are quietly taking gains. "Suffice it to say we're making a profit in this market," he says.

The moon is a treasure trove of valuable resources. Gold, platinum, and many rare Earth metals await extraction to be used in next-generation electronics. But there's one resource in particular that has excited scientists, rocket engineers, space agency officials, industry entrepreneurs--virtually anyone with a vested interest in making spaceflight to distant worlds more affordable. If you split water into hydrogen and oxygen, and then liquefy those constituents, you have rocket fuel. If you can stop at the moon's orbit or a lunar base to refuel, you no longer need to bring all your propellant with you as you take off, making your spacecraft significantly lighter and cheaper to launch.

When Doron Hazan '21 was drafted into the Israeli Defense Forces (IDF) after high school, he had the opportunity to join the army's intelligence unit. It was the obvious choice for the self-described "math and physics nerd" from Kiryat Shmona, a small town in Israel's Hula Valley just south of the Lebanese border. But Hazan was not one to make obvious choices. "All of my life I've been interested in human behavior," says Hazan, a junior who is enrolled in one of MIT's newest majors: computation and cognition, or Course 6-9. Launched in the fall of 2019, Course 6-9 is a joint curriculum offered by the Department of Electrical Engineering and Computer Science (EECS) and the Department of Brain and Cognitive Sciences (BCS).

Using ORNL's Summit supercomputer, scientists can comb through millions of medical journal articles looking for possible connections among FDA-approved drug therapies and known COVID-19 symptoms. Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs, and effective measures that could suppress or stop the spread of COVID-19. A team comprising researchers from ORNL and Georgia Tech are using artificial intelligence methods designed to unearth relevant information from about 18 million available research documents. They looked for connections among 84 billion concepts and cross-referenced keywords associated with COVID-19 -- such as high fever, dry cough, and shortness of breath -- with existing medical solutions. "Our goal is to assist doctors' and researchers' ability to identify information about drug therapies that are already approved by the U.S. Federal Drug Administration," said ORNL's Ramakrishnan "Ramki" Kannan.

We take a closer look into Booz Allen-Hamilton's massive artificial intelligence contract with the Pentagon and what it entails for both parties. Booz Allen-Hamilton is a global firm of approximately 26,300 diverse, passionate, and exceptional people driven to excel, do right, and realize positive change in everything that they do. They bring bold thinking and a desire to be the best in consulting, analytics, digital solutions, engineering, and cyber, and with industries ranging from defence to health to energy to international development. They celebrate and value diversity in all its forms; it's something that they truly value as a multicultural community of problem solvers. They believe in corporate and individual citizenship that make communities better places for all.

The soldier who is a split second quicker on the draw may walk away from a firefight unscathed; the ship that sinks an enemy vessel first may spare itself a volley of missiles. In cases where humans can't keep up with the pace of modern conflict, machines step in. When a rocket-propelled grenade is streaking toward an armored ground vehicle, an automated system onboard the vehicle identifies the threat, tracks it, and fires a countermeasure to intercept it, all before the crew inside is even aware. Similarly, US Navy ships equipped with the Aegis combat system can switch on Auto-Special mode, which automatically swats down incoming warheads according to carefully programmed rules. These kinds of defensive systems have been around for decades, and at least 30 countries now use them.

AI will fundamentally change the workplace. In the near future, AI enabled machines will be involved in everything from onboarding customers and employees, through to customer service. We are at the very beginning of this journey. The biggest changes are being felt at the largest companies. A 2019 report by Gartner revealed that enterprise use of AI has grown over 270 percent from 2014 to 2019.