Countries are rolling out ambitious plans to gain a competitive edge in AI. What principles will ensure that AI is deployed safely and ethically?
In the future, industrial robots may create jobs, boost productivity and spur higher wages. But one thing seems more certain for now: They’re vulnerable to hackers.
Factories, hospitals and other big robot users often lack sufficient levels of defense against a digital attack, according to cybersecurity experts, robot manufacturers and engineering researchers. The risk levels are rising as more robots morph from being offline and isolated to being internet-connected machines, often working alongside humans.
5G promises to make factories a lot smarter. And that means they’ll be a lot more vulnerable.
Continue reading “For Industrial Robots, Hacking Risks Are On the Rise” »
Engineers at the University of Maryland (UMD) have created the first 3D-printed fluid circuit element so tiny that 10 could rest on the width of a human hair. The diode ensures fluids move in only a single direction—a critical feature for products like implantable devices that release therapies directly into the body.
NAIROBI — Countries must agree strict rules on “killer robots” — autonomous weapons which can assassinate without human involvement, a top Red Cross official has said, amid growing ethical concerns over their use in future wars.
Semi-autonomous weapons systems from drones to tanks have for decades been used to eliminate targets in modern day warfare — but they all have human control behind them.
With rapid advancements in artificial intelligence, there are fears among humanitarians over its use to develop machines which can independently make the decision about who to kill.
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Mention artificial intelligence (AI) or artificial neural networks, and images of computers may come to mind. AI-based pattern recognition has a wide variety of real-world uses, such as medical diagnostics, navigation systems, voice-based authentication, image classification, handwriting recognition, speech programs, and text-based processing. However, artificial intelligence is not limited to digital technology and is merging with the realm of biology—synthetic biology and genomics, to be more precise. Pioneering researchers led by Dr. Lulu Qian at the California Institute of Technology (Caltech) have created synthetic biochemical circuits that are able to perform information processing at the molecular level–an artificial neural network consisting of DNA instead of computer hardware and software.
Artificial intelligence is in the early stages of a renaissance period—a rebirth that is largely due to advances in deep learning techniques with artificial neural networks that have contributed to improvements in pattern recognition. Specifically, the resurgence is largely due to a mathematical tool that calculates derivatives called backpropagation (backward propagation)—it enables artificial neural networks to adjust hidden layers of neurons when there are outlier outcomes for more precise results.
Artificial neural networks (ANN) are a type of machine learning method with concepts borrowed from neuroscience. The structure and function of the nervous system and brain were inspiration for artificial neural networks. Instead of biological neurons, ANNs have artificial nodes. Instead of synapses, ANNs have connections that are able to transmit signals between nodes. Like neurons, the nodes of ANNs are able to receive and process data, as well as activate other nodes connected to it.
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As the smartphone market matures, startups are racing to predict what’s next, and venture-capital firms are spraying money into fields like virtual reality, smart watches and even implants in the brain. Here are some of the startups attracting investment.
Venture-capital investors are spraying money into fields like virtual reality, driverless cars and even implants in the brain.
