Materials
Apple wants your applause for a mining goal without a plan
Apple wants to stop mining for rare Earth metals and other components that help its technologies work. The company announced this through its recently-released 2016 environmental responsibility report, and via a nice little rollout with the help of Vice. Everything Apple builds, they say, will one day be made from recyclable materials such as copper, aluminum, and tin. SEE ALSO: New drone footage gives us the best look at Apple's spaceship campus yet But Apple has no public timeline to complete this goal. Lisa Jackson, the company's vice president of environment, policy, and social initiatives, told Vice that company officials are a bit "nervous" because they don't have a plan, either.
Why Georgia Tech Built a Tarzan Robot That Swings Around on Wires
Generally, the term "aerial robot" is synonymous with "drone," but there are lots of other ways for robots to avoid spending time on the ground. One of the most creative that we've seen recently comes from Georgia Tech Professor Jonathan Rogers, who has been working on a sloth-inspired aerial robot named Tarzan. The machine is designed to swing around on overhead wires strung above fields to monitor growing crops. And one day, it may swing around electrical wires in cities, too. Tarzan is built with carbon fiber arms, reinforced with aluminum.
Robotics, Smart Materials, and their Future Impact for Humans
The nineteenth century marked the acceleration and wide adoption of industrial processes. In the twentieth century, technology moved from the laboratory and research institute to the home. We are now at the cusp of a new technological shift of equal significance: the Robotics Revolution. But what is the Robotics Revolution and what will it actually deliver? A "robot" is often defined as a machine that can carry out a complex series of actions automatically, especially one programmable by a computer.
The Growing Case for Geoengineering
David Mitchell pulls into the parking lot of the Desert Research Institute, an environmental science outpost of the University of Nevada, perched in the dry red hills above Reno. On this morning, wispy cirrus clouds draw long lines above the range. Mitchell, a lanky, soft-spoken atmospheric physicist, believes these frigid clouds in the upper troposphere may offer one of our best fallback plans for combating climate change. But Mitchell, an associate research professor at the institute, thinks there might be a way to counteract the effects of these clouds. It would work like this: Fleets of large drones would crisscross the upper latitudes of the globe during winter months, sprinkling the skies with tons of extremely fine dust-like materials every year. If Mitchell is right, this would produce larger ice crystals than normal, creating thinner cirrus clouds that dissipate faster.
Drone maps mines to explore unsafe caverns and seek out minerals
In the 2012 sci-fi film Prometheus, scientists release small drones into a mysterious tunnel complex to create a detailed 3D map of the caverns in minutes. Australian researchers plan to use a similar approach to explore parts of old mines that are unsafe to visit. The drones, which are controlled by a pilot, will be able to carry out safety checks by monitoring the build-up of water and checking the extent of roof collapses, and search for valuable mineral deposits that may have been missed. They are being developed by Craig Lindley and his colleagues at the Commonwealth Scientific and Industrial Research Organisation, Australia's government research agency. The researchers' model is based on a commercial quadcopter.
Mark Jackson on Space Mining, Quantum Computing and Machine Learning
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.
How smart buildings can use big data to shape the future of work
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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Detecting confounding in multivariate linear models via spectral analysis
Janzing, Dominik, Schoelkopf, Bernhard
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.
Carbon Black warns that artificial intelligence is not a silver bullet
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."