From Fiat Physics to Developing a Science Partnership Fund & from lecturing students to Consulting Corporate Executives on the impact of quantum computing, Mark has a very diverse background. Jackson recently organized the Dawn of Private Space Science symposium bringing together leading scientists, foundations, corporations, policy makers, and commercial space-lines under one roof to create opportunities for PRIVATE scientific research in space, not just from government.

For most organisations, the two largest investments are people and premises. So, when organisations redefine the relationship between their employees and their property, it's no surprise that efficiency and effectiveness gains can have an extraordinary impact on workforce productivity and wellbeing – and ultimately, the bottom line. It's this catalyst for change and the benefits that derive from it that has me as a business leader excited about smart buildings and smart workspaces. The opportunity is so much bigger than the often-promoted gains in energy and carbon reduction. See also: Do smart offices attract smart employees? For the first time, companies can use sophisticated technology and real-time data to understand the way in which their workspace is being utilised in detail.

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We study a model where one target variable Y is correlated with a vector X:=(X_1,...,X_d) of predictor variables being potential causes of Y. We describe a method that infers to what extent the statistical dependences between X and Y are due to the influence of X on Y and to what extent due to a hidden common cause (confounder) of X and Y. The method relies on concentration of measure results for large dimensions d and an independence assumption stating that, in the absence of confounding, the vector of regression coefficients describing the influence of each X on Y typically has `generic orientation' relative to the eigenspaces of the covariance matrix of X. For the special case of a scalar confounder we show that confounding typically spoils this generic orientation in a characteristic way that can be used to quantitatively estimate the amount of confounding.

The research, which Carbon Black says looked "Beyond the Hype" found that the roles of AI and ML in preventing cyber-attacks have been met with both hope and skepticism. The vast majority (93 percent) of the 400 security researchers interviewed while conducting this research said non-malware attacks pose more of a business risk than commodity malware attacks, and more importantly that these are often not stopped by traditional anti-virus offerings. Mike Viscuso, co-founder and CTO of Carbon Black told SC Media UK: "Researchers have reported seeing an increase in the number, and sophistication, of non-malware attacks. These attacks are specifically designed to evade file-based prevention mechanisms and leverage native operating system tools to keep attackers under the radar." One respondent explained: "Most users seem to be familiar with the idea that their computer or network may have accidentally become infected with a virus, but rarely consider a person who is actually attacking them in a more proactive and targeted manner."

The Department of Economic and Social Affairs at the United Nations projects that 9.7 billion people will inhabit the Earth come 2050. With one in eight people today not getting enough food, farmers will have to become more prolific in order to serve these additional billions. As nearly half of the planet's 10 global hectares of potentially productive land is already devoted to agriculture, any expansion will increasingly impact delicate ecosystems that are already declining. What's worse is the World Bank estimates that climate change could cut crop yields by more than 25 percent as the population continues to grow. Feeding this amount of people will require finding new ways of becoming even more efficient at producing food.

Few places evoke the rise and fall of Japan's industrial might than the head office of the Imperial Steel Works in Kitakyushu. The red brick Meiji Era building was the heart of the nation's first big steelworks. Kitakyushu, with nearly a million people, embodies the struggle of Japan's cities to adapt to a future where citizens are older, workers are fewer and many houses are emptying. The emblems of government efforts to revitalize the economy -- a billion-dollar airport, a robotics factory -- stand beside the empty lots, an idle blast furnace and shuttered shops. Five hours west of Tokyo by shinkansen, Kitakyushu lost over 15,000 people in the five years to 2015, more than any other city in the country apart from those evacuated because of the Fukushima nuclear disaster.

Managers of US National Forests must decide what policy to apply for dealing with lightning-caused wildfires. Conflicts among stakeholders (e.g., timber companies, home owners, and wildlife biologists) have often led to spirited political debates and even violent eco-terrorism. One way to transform these conflicts into multi-stakeholder negotiations is to provide a high-fidelity simulation environment in which stakeholders can explore the space of alternative policies and understand the tradeoffs therein. Such an environment needs to support fast optimization of MDP policies so that users can adjust reward functions and analyze the resulting optimal policies. This paper assesses the suitability of SMAC---a black-box empirical function optimization algorithm---for rapid optimization of MDP policies. The paper describes five reward function components and four stakeholder constituencies. It then introduces a parameterized class of policies that can be easily understood by the stakeholders. SMAC is applied to find the optimal policy in this class for the reward functions of each of the stakeholder constituencies. The results confirm that SMAC is able to rapidly find good policies that make sense from the domain perspective. Because the full-fidelity forest fire simulator is far too expensive to support interactive optimization, SMAC is applied to a surrogate model constructed from a modest number of runs of the full-fidelity simulator. To check the quality of the SMAC-optimized policies, the policies are evaluated on the full-fidelity simulator. The results confirm that the surrogate values estimates are valid. This is the first successful optimization of wildfire management policies using a full-fidelity simulation. The same methodology should be applicable to other contentious natural resource management problems where high-fidelity simulation is extremely expensive.

Eating a robot might not sound very appealing, but edible machines could be crawling their way down your intestinal tract in the near future. Scientists have created the first part of these digestible bots that could deliver medicine to people in need. The team is working with a hospitality school to see if they could even make them taste nice. The part they have created is just 90mm (3.5in) in length, 20mm (0.8in) wide and 17mm (0.7in) in thickness. This is the first part of an edible robot, which will be biodegradable and have very low levels of toxicity. Experts could train them to walk to humans who are in need of food.

Around 1,500 people visit an industrial waste treatment facility in central Japan each year to see up close how the operator can recycle more than 99 percent of the solid garbage it receives from a variety of manufacturers and municipalities. Nakadai Co., which covers the Kanto region, accepts 60 tons of waste each day, which it recycles and resells to about 50 customers. The waste includes wooden materials, plastics, cardboard boxes, personal computers, auto parts and fluorescent lamps. Most industrial waste treatment companies specialize in handling a single type of waste for disposal. But Nakadai, founded as a scrap iron processor in Tokyo in 1937, has tried to diversify its sources of income by obtaining most of the nearly 20 types of licenses required for waste disposal since the late 1990s.