Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 2020

For better or worse, robots with humanoid features are often compared to humans—we want to know if they’re anywhere close to doing the same kinds of things that we do, and with a few exceptions, the answer is “probably not.” Humanoid robots are difficult to build and program, but we keep doing it because it makes some amount of sense to have robots that look and function like we do operating in the same environments that we operate in. However, one of the great things about robots is that they don’t have to be constrained by the same boring humanoid-ness that we are, and we can do all kinds of things to them to make them more capable than we’ll ever be.

Leonardo augments humanoid legs with thrusters to help it run and jump.

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If the forecast calls for rain, you’ll probably pack an umbrella. If it calls for cold, you may bring your mittens. That same kind of preparation happens in buildings, where sophisticated heating and cooling systems adjust themselves based on the predicted weather.

But when the forecast is imperfect—as it often is—buildings can end up wasting , just as we may find ourselves wet, cold or burdened with extra layers we don’t need.

A new approach developed by Fengqi You, professor in engineering at Cornell University, predicts the accuracy of the forecast using a machine learning model trained with years’ worth of data on forecasts and actual weather conditions. You combined that predictor with a that considers characteristics including the size and shape of rooms, the construction materials, the location of sensors and the position of windows.

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A team of researchers including Neil Johnson, a professor of physics at the George Washington University, has discovered that decentralized systems work better when the individual parts are less capable.

Dr. Johnson was interested in understanding how systems with many moving parts can reach a desired target or goal without centralized control. This explores a common theory that decentralized systems, those without a central brain, would be more resilient against damage or errors.

This research has the potential to inform everything from how to effectively structure a company, build a better autonomous vehicle, optimize next-generation artificial intelligence algorithms—and could even transform our understanding of evolution. The key lies in understanding how the “” between decentralized and centralized systems varies with how clever the pieces are, Dr. Johnson said.

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Forensics is on the cusp of a third revolution in its relatively young lifetime. The first revolution, under the brilliant but complicated mind of J. Edgar Hoover, brought science to the field and was largely responsible for the rise of criminal justice as we know it today. The second, half a century later, saw the introduction of computers and related technologies in mainstream forensics and created the subfield of digital forensics.

We are now hurtling headlong into the third revolution with the introduction of Artificial Intelligence (AI) – intelligence exhibited by machines that are trained to learn and solve problems. This is not just an extension of prior technologies. AI holds the potential to dramatically change the field in a variety of ways, from reducing bias in investigations to challenging what evidence is considered admissible.

AI is no longer science fiction. A 2016 survey conducted by the National Business Research Institute (NBRI) found that 38% of enterprises are already using AI technologies and 62% will use AI technologies by 2018. “The availability of large volumes of data—plus new algorithms and more computing power—are behind the recent success of deep learning, finally pulling AI out of its long winter,” writes Gil Press, contributor to Forbes.com.

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Lawmakers and experts are sounding the alarm about “deepfakes,” forged videos that look remarkably real, warning they will be the next phase in disinformation campaigns.

The manipulated videos make it difficult to distinguish between fact and fiction, as artificial intelligence technology produces fake content that looks increasingly real.

The issue has the attention of lawmakers from both parties on Capitol Hill.

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