Lifeboat Foundation

Rich dynamics in a living neuronal system can be considered as a computational resource for physical reservoir computing (PRC). However, PRC that generates a coherent signal output from a spontaneously active neuronal system is still challenging. To overcome this difficulty, we here constructed a closed-loop experimental setup for PRC of a living neuronal culture, where neural activities were recorded with a microelectrode array and stimulated optically using caged compounds. The system was equipped with first-order reduced and controlled error learning to generate a coherent signal output from a living neuronal culture. Our embodiment experiments with a vehicle robot demonstrated that the coherent output served as a homeostasis-like property of the embodied system from which a maze-solving ability could be generated. Such a homeostatic property generated from the internal feedback loop in a system can play an important role in task solving in biological systems and enable the use of computational resources without any additional learning.

Google is secretly working on some of the most advanced and crazy-sounding Artificial Intelligence Systems in the world. Some of them they’ve announced and released to the public, while others are being worked on behind closed curtains.
What these secret AI Projects are, what evil, bad or good things they’ll accomplish and how Googles motto of “Don’t be evil” doesn’t apply anymore, all in this one video. One thing is for sure, this might be the dawn of super intelligent AI robots owned by a single company in the hopes of reaching AI Supremacy.
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TIMESTAMPS:
00:00 Don’t be evil.
01:32 Google and Deepmind.
03:26 Google’s Connections with the Military.
04:39 What is Googles plan?
07:21 Last Words.
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#robots #ai #google

Honda and the engineering and construction firm Black & Veatch have tested a prototype of Honda’s autonomous work vehicle at a construction site in New Mexico.

During a month of tests, the AWV performed such tasks as towing, moving construction materials and other supplies to specific locations within the work site.

Honda’s AWV was first shown as a concept at the 2018 Consumer Electronics Show. It combines a durable off-road side-by-side platform with advanced autonomous technology. The vehicle uses a collection of sensors to maneuver without a driver, using GPS, radar and lidar for obstacle detection, as well as 3D cameras. Together, these features enable the AWV to be operated by remote control.

This is why researchers trained computers to predict what designer drugs will emerge onto the scene before they hit the market, according to a recent study published in the journal Nature Machine Intelligence.

With highly-addictive drugs flooding regions throughout the U.S., this program could save countless lives. But it could also unlock an entire “dark matter” world of unknown psychoactive possibilities.

Unity, the San Francisco-based platform for creating and operating games and other 3D content, on November 10 announced the launch of Unity Simulation Pro and Unity SystemGraph to improve modeling, testing, and training complex systems through AI.

With robotics usage in supply chains and manufacturing increasing, such software is critical to ensuring efficient and safe operations.

Danny Lange, senior vice president of artificial intelligence for Unity, told VentureBeat via email that the Unity SystemGraph uses a node-based approach to model the complex logic typically found in electrical and mechanical systems. “This makes it easier for roboticists and engineers to model small systems, and allows grouping those into larger, more complex ones — enabling them to prototype systems, test and analyze their behavior, and make optimal design decisions without requiring access to the actual hardware,” said Lange.

Artificial Superintelligence or ASI, sometimes referred to as digital superintelligence is the advent of a hypothetical agent that possesses intelligence far surpassing that of the smartest and most gifted human minds. AI is a rapidly growing field of technology with the potential to make huge improvements in human wellbeing. However, the development of machines with intelligence vastly superior to humans will pose special, perhaps even unique risks.

Most surveyed AI researchers expect machines to eventually be able to rival humans in intelligence, though there is little consensus on when or how this will happen.

Continue reading “From Artificial Intelligence to Superintelligence: Nick Bostrom on AI & The Future of Humanity” »

The machine will cost between $150,000 and $300,000 the company said, depending on configurations. The TOOK is ready to be deployed, Levy said, and is already being evaluated by some of its clients. Eventually, he believes there will be hundreds of thousands of ROOKs in the field.

What is next? Collaboration between air and land robots, he said, for example deploying an aerial and a land robot to photograph a certain area and then merging the pictures for a complete perspective.

Elbit Systems and Roboteam have released the ROOK UGV, which will support infantry in a number of frontline roles.

Continue reading “Israel’s next-gen robots could replace ground troops on frontlines” »

What’s New: Today, Intel celebrates the 50th anniversary of the Intel® 4,004, the world’s first commercially available microprocessor. With its launch in November 1971, the 4,004 paved the path for modern microprocessor computing – the “brains” that make possible nearly every modern technology, from the cloud to the edge. Microprocessors enable the convergence of the technology superpowers – ubiquitous computing, pervasive connectivity, cloud-to-edge infrastructure and artificial intelligence – and create a pace of innovation that is moving faster today than ever.

“This year marks the 50th anniversary of the 4,004 chip. Think of how much we’ve accomplished in the past half-century. This is a sacred moment for technology. This is what made computing really take off!” –Pat Gelsinger, Intel CEO

Why It’s Important: The 4,004 is the pioneer microprocessor, and its success proved that it was possible to build complex integrated circuits and fit them on a chip the size of a fingernail. Its invention also established a new random logic design methodology, one that subsequent generations of microprocessors would be built upon, before evolving to create the chips found in today’s modern devices.

Artificial Intelligence’s biggest Problems is their inability to keep on learning after they’ve completed their training. But now, Google’s Deepmind has created a Meta-Learning AI which keeps on learning and improving indefinitely without any Human supervision. Deepmind created the AI Game: Alchemy, which is a chemistry-based game for AI Agents to play and improve in. But Artificial Intelligence improving without limits also puts some concerns into AI researchers focused on deep learning.

There has been rapidly growing interest in meta-learning as a method for increasing the flexibility and sample efficiency of reinforcement learning.
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Continue reading “The Only Artificial Intelligence that can Learn — Deepmind Meta-Learning” »