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How will AI improve our lives in the years to come? From its inception six decades ago to its recent exponential growth, futurist Ray Kurzweil highlights AI’s transformative impact on various fields and explains his prediction for the singularity: the point at which human intelligence merges with machine intelligence.

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In early 2023, following an international conference that included dialogue with China, the United States released a “Political Declaration on Responsible Military Use of Artificial Intelligence and Autonomy,” urging states to adopt sensible policies that include ensuring ultimate human control over nuclear weapons. Yet the notion of “human control” itself is hazier than it might seem. If humans authorized a future AI system to “stop an incoming nuclear attack,” how much discretion should it have over how to do so? The challenge is that an AI general enough to successfully thwart such an attack could also be used for offensive purposes.

We need to recognize the fact that AI technologies are inherently dual-use. This is true even of systems already deployed. For instance, the very same drone that delivers medication to a hospital that is inaccessible by road during a rainy season could later carry an explosive to that same hospital. Keep in mind that military operations have for more than a decade been using drones so precise that they can send a missile through a particular window that is literally on the other side of the earth from its operators.

We also have to think through whether we would really want our side to observe a lethal autonomous weapons (LAW) ban if hostile military forces are not doing so. What if an enemy nation sent an AI-controlled contingent of advanced war machines to threaten your security? Wouldn’t you want your side to have an even more intelligent capability to defeat them and keep you safe? This is the primary reason that the “Campaign to Stop Killer Robots” has failed to gain major traction. As of 2024, all major military powers have declined to endorse the campaign, with the notable exception of China, which did so in 2018 but later clarified that it supported a ban on only use, not development—although even this is likely more for strategic and political reasons than moral ones, as autonomous weapons used by the United States and its allies could disadvantage Beijing militarily.

As the energy consumption of neural networks continues to grow, different approaches to deep learning are needed. A neuromorphic method offering nonlinear computation based on linear wave scattering can be implemented using integrated photonics.

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Skild AI, a startup that’s developing artificial intelligence-powered brains for robots, said today it has closed on a bumper $300 million early-stage funding round, bringing its valuation to a cool $1.5 billion.

The Series A round was led by a host of top-tier venture capital firms, including Lightspeed Venture Partners, Coatue, Softbank Group Corp. and Jeff Bezos’s Bezos Expeditions. It also saw participation from the likes of Felicis Ventures, Sequoia, Menlo Ventures, General Catalyst, CRV, Amazon, SV Angel and Carnegie Mellon University.

Skild AI is building what it says is a “shared, general-purpose brain” that will be able to equip a diverse group of robots that can perform multiple kinds of tasks in a wide range of scenarios, such as manipulating objects, locomotion and navigation. It says its AI intelligence can be integrated with any kind of robot, including humanoid bots with advanced computer vision skills designed to perform dexterous manipulation of objects in the home and in industrial settings, and more resilient quadruped robots that can navigate any physical environment.

A self-driving lab system spent half a year engineering enzymes to work at higher temperatures.

Even robots are overworked.