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China christened a remarkable new 290-foot ship last week – the world’s first semi-autonomous drone carrier. It’ll carry, launch, recover and co-ordinate the actions of more than 50 other autonomous aerial, surface and underwater vehicles.

The Huangpu Wenchong Shipyard began construction on the Zhu Hai Yun last July in Guangzhou. According to the South China Morning Post, it’s the first carrier of its kind, a self-contained autonomous platform that will roll out with everything necessary to perform a fully integrated operation including drone aircraft, boats and submersibles.

China doesn’t expect it to navigate busy seaports by itself, like the Japanese autonomous container ship Suzaku we wrote about last week. Instead, the Zhu Hai Yun will run on remote control until it’s out in the open water, and then its self-driving systems will take over to execute whatever mission it’s running.

Does the breakthrough to general AI need more data and computing power above all else? Yann LeCun, Chief AI Scientist at Metaon the recent debate about scaling sparked by Deepmind’s Gato.

The recent successes of large AI models such as OpenAI’s DALL-E 2, Google’s PaLM and Deepmind’s Flamingo have sparked a debate about their significance for progress towards general AI. Deepmind’s Gato has recently given a particular boost to the debate, which has been conducted publicly, especially on Twitter.

Gato is a Transformer model trained with numerous data modalities, including images, text, proprioception or joint moments. All training data is processed by Gato in a token sequence similar to those of large language models. Thanks to the versatile training, Gato can text, describe images, play video games or control robotic arms. Deepmind tested the AI model with over 600 benchmarks.

Should we send robots on space missions instead of humans?

The cost differences are huge. In fact, NASA could pursue dozens of robotic missions for the cost of a single human mission. Also worth considering–wealthy entrepreneurs have made great advances recently with private space efforts.

Given the large ambitions for private human space flight, isn’t it time to phase out NASA’s human missions? The private sector has gained ground, and so the government should yield.

The private sector has shown that it can do space flights far cheaper than NASA’s cost overruns are infamous. The cost of building the International Space Station, for example, ballooned from $17 billion to $74 billion.

Given the need to reduce large budget deficits, most federal agencies should be cut. For NASA, policymakers should consider phasing out the human missions and narrowing the agency’s focus to more efficient robotic missions.

Join the conversation using #CatoEcon.

California’s Marine Advanced Robotics has made considerable progress on its remarkable Wave-Adaptive Modular Vessel (WAM-V) since we first saw these wild spider-boats 16 years ago on a list of urban legends. Legends and photoshops they were not – indeed, the giant 100-ft Proteus laid the foundations for the smaller, smarter machines the company is making today.

In a nutshell, a WAM-V is an ultra-light catamaran with hulls mounted on clever suspension legs that use springs, shocks and ball joints to move with the waves, helping to stabilize them for pitch and roll, and making these boats suitable for sea conditions where others of the same size simply can’t operate. With props always in the water, they’re highly maneuverable, and capable of spinning 360 degrees almost in their own footprint.

That’s the wave-adaptive part; they’re also modular, with quick-connect interfaces allowing operators to quickly swap out propulsion systems, payloads and sensor/instrument packages for different missions. And transportable as well, they’re built for rapid assembly and disassembly, and they break down so small that four 16-foot WAM-Vs can fit in a standard shipping container. You’d need to deflate a conventional 18-foot RIB to get even one of those in.

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This paper provides evidence that a theoretical computer science (TCS) perspective can add to our understanding of consciousness by providing a simple framework for employing tools from computational complexity theory and machine learning. Just as the Turing machine is a simple model to define and explore computation, the Conscious Turing Machine (CTM) is a simple model to define and explore consciousness (and related concepts). The CTM is not a model of the brain or cognition, nor is it intended to be, but a simple substrate-independent computational model of (the admittedly complex concept of) consciousness. This paper is intended to introduce this approach, show its possibilities, and stimulate research in consciousness from a TCS perspective.

😳!!!


“I’ve been banging this AI drum for a decade,” Musk told Business Insider.

Musk’s latest warning is that smart people who assume they could never be fooled by a machine are in effect lowering their guard to any AI trickery coming their way.

“We should be concerned about where AI is going,” Musk told Business Insider. “The people I see being the most wrong about AI are the ones who are very smart, because they can’t imagine that a computer could be way smarter than them. That’s the flaw in their logic. They’re just way dumber than they think they are.”

Researchers at the University of Minnesota have made a major breakthrough that allows people to control a robotic arm using only their minds. The research has the potential to help millions of people who are paralyzed or have neurodegenerative diseases.

The study is published online today in Scientific Reports, a Nature research journal.

To read the full research paper, entitled “Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks,” visit the Nature Scientific Reports website.


Groundbreaking study demonstrates potential to help millions of people with disabilities.