Lifeboat Foundation

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War has been a part of the human experience since the beginning of civilization. But new technologies are changing the face of warfare in ways that we never really expected. From cyberwarfare to autonomous AI-piloted drones to space warfare, the future of war is weird. And terrifying.

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Continue reading “The Future of War | Answers With Joe” »

And just like a unicorn, it doesn’t currently exist.

Never mind buying a robot dog for your kids — you might just get them a mythical creature instead. Chinese EV maker Xpeng has teased a robot unicorn meant for children to ride. As SCMP notes, the quadruped will take advantage of Xpeng’s experiences with autonomous driving and other AI tasks to navigate multiple terrain types, recognize objects and provide “emotional interaction.”

Continue reading “A Chinese EV startup wants to build a ridable robot unicorn for kids” »

new study shows.

When you know you’re being watched by somebody, it’s hard to pretend they’re not there. It can be difficult to block them out and keep focus, feeling their gaze bearing down upon you.

Continue reading “When Robot Eyes Gaze Back at Humans, Something Changes in Our Brain And Behavior” »

Singapore said the robots, called “Xavier,” can report bad behavior to law enforcement and display messages to “educate” the public.

How to overcome reinforcement learning’s inherent selfishness.

It’s not just salespeople, traders, compliance professionals and people formatting pitchbooks who risk losing their banking jobs to technology. It turns out that private equity professionals do too. A new study by a professor at one of France’s top finance universities explains how.

Professor Thomas Åstebro at Paris-based HEC says private equity firms are using artificial intelligence (AI) to push the limits of human cognition and to support decision-making. Åstebro says t he sorts of people employed by private equity funds is changing as a result.

Åstebro looked at the use of AI systems across various private equity and venture capital firms. He found that funds that have embraced AI are using decision support systems (DSS) across the investment decision-making process, including to source potential targets for investments before rivals.

Chris Smedley, please tell us your thoughts on this judgment?

This isn’t over says man pushing for neural networks’ rights.

CERN Courier

Jennifer Ngadiuba and Maurizio Pierini describe how ‘unsupervised’ machine learning could keep watch for signs of new physics at the LHC that have not yet been dreamt up by physicists.

In the 1970s, the robust mathematical framework of the Standard Model ℠ replaced data observation as the dominant starting point for scientific inquiry in particle physics. Decades-long physics programmes were put together based on its predictions. Physicists built complex and highly successful experiments at particle colliders, culminating in the discovery of the Higgs boson at the LHC in 2012.

Continue reading “Hunting anomalies with an AI trigger” »

Reinforcement learning (RL) is the most widely used machine learning algorithm, besides supervised and unsupervised learning and the less common self-supervised and semi-supervised learning. RL focuses on the controlled learning process, where a machine learning algorithm is provided with a set of actions, parameters, and end values. It teaches the machine trial and error.

From a data efficiency perspective, several methods have been proposed, including online setting, reply buffer, storing experience in a transition memory, etc. In recent years, off-policy actor-critic algorithms have been gaining prominence, where RL algorithms can learn from limited data sets entirely without interaction (offline RL).