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Tough to be a doctor these days — Could be bad news for Providers with limited or no Cyber Risk Coverage.


Providers are focusing on cybersecurity with increased urgency. Cyberattacks on health-care organizations reached an all-time high in 2015 and aren’t expected to slow down in 2016, Harry Greenspun, director for Deloitte’s Center for Health Solutions, told Bloomberg BNA. One element of a comprehensive strategy to address data security is customized cyber risk insurance. Recent case law supports standing for class action litigants alleging future injuries, which may not be covered by some policy forms. We urge providers to review their cyber risk coverage with the increasing risks and this new case law in mind.

Specifically, it is critical that cyber risk insurance is designed to both: adequately mitigate future harm to those whose private information is compromised as a result of a data breach; and satisfy the full array of damages sought by such third parties, including damages for future injuries resulting from the anticipated improper use of data. These considerations are increasingly important because the policies available in today’s market are not standardized. While many absorb some of the costs associated with notification and fraud monitoring, existing forms may not protect against damages sought for susceptibility to identity theft.

The Remijas decision

The game of Go has long been viewed as the most challenging of classic games for artificial intelligence due to its enormous search space and the difficulty of evaluating board positions and moves.

Google DeepMind introduced a new approach to computer Go with their program, AlphaGo, that uses value networks to evaluate board positions and policy networks to select moves. These deep neural networks are trained by a novel combination of supervised learning from human expert games, and reinforcement learning from games of self-play. Without any lookahead search, the neural networks play Go at the level of state-of-the-art Monte-Carlo tree search programs that simulate thousands of random games of self-play. DeepMind also introduce a new search algorithm that combines Monte-Carlo simulation with value and policy networks. Using this search algorithm, our program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the European Go champion by 5 games to 0. This is the first time that a computer program has defeated a human professional player in the full-sized game of Go, a feat previously thought to be at least a decade away.

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MPs in the British Parliament are being asked to consider the question of introducing a universal basic income paid unconditionally to all citizens.

An Early Day Motion on the policy, tabled by Green Party MP Caroline Lucas, calls on the Government to commission research into the idea’s effects and examine its feasibility to replace the UK’s existing social security system.

The motion, which raises the profile of the idea but is very unlikely to be adopted into law, says the policy “has the potential to offer genuine social security to all while boosting entrepreneurialism”.

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Friends,

When Singularity Hypotheses was published, the technological singularity was (barely) a fringe academic topic. Three years later, and the singularity is in the headlines of every magazine and tabloid.

Yet the subject became even more controversial, with some very polarizing views confusing the public.

We’ve decided to help policy makers understand the technological singularity and publish this report. It is intended to clarify the debate, refute common misconceptions, and highlight the open questions.

Please comment below with your views!

Are you a current or aspiring researcher working in the #aging field? Then you may be interested in the 23rd annual RAND Summer Institute in Santa Monica. This July, institute participants will attend a series of master lectures that offer insights into the science of aging, and the relationships between the aging field and health, economic status, and public policy. Register by March 15.

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New book by NASA JPL Curiosity Rover engineer has some hard truths about U.S. space policy. A good read.


A Mars Curiosity rover team lead at NASA’s Jet Propulsion Laboratory (JPL) writes in a forthcoming first-person narrative that the space agency as a whole “doesn’t do enough flight projects to forge a broad set of practical skills across [NASA].”

Adam Steltzner — a JPL engineer who was a familiar face during the entry, descent and landing (EDL) phase of the Mars Curiosity rover’s triumphant August 2012 landing — is refreshingly candid about U.S. space policy in the new book “The Right Kind of Crazy: A True Story of Teamwork, Leadership, and High-Stakes Innovation.”

“One of the problems with space exploration is that we never have enough iterations to allow us to fully learn from our mistakes,” writes Steltzner, officially, the phase lead and development manager for the Mars Science Laboratory (Curiosity).

This tongue-in-cheek article highlights an interesting experience I had a few days ago on the Immortality Bus in North Carolina:


One wants to live forever, the other wants to push reset on the US Constitution. Both are running for president in 2016. As Republican and Democrat presidential candidates prepare for December’s debates, pioneering Transhumanist Zoltan Istvan and cybersecurity legend John McAfee met for the first time this week for their own debate, over several large drinks in a motel bar.

Istvan, who is currently touring the US aboard a coffin-shaped campaign bus, and McAfee both have technology at the core of their campaign policies, but in terms of specific policy this is where the similarities end.

“I can’t think of a more horrific concept than immortality,” McAfee told Istvan soon after meeting in Charlotte, North Carolina. “It is anti-evolutionary. We need to die and die young preferably; dying is the most beautiful of all things. I’d get behind a platform where you kill everyone at 30. I would fight you tooth and nail to stop you making people live forever.”