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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.

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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TIMESTAMPS:
00:00 The Ultimate kind of AI?
01:02 What is Meta-Learning in AI?
02:24 Alchemy AI Agent.
04:02 How Meta-Learning solved AI Problems.
06:32 What are the dangers of this AI?
08:29 Last Words.

#ai #metalearning #singularity

Although the colonization of Venus seems like a lost cause to many, it appears that the people at NASA are very optimistic about their plans to colonize it! Subscribe to Futurity for more space news.

#nasa #space #venus.

Here at Futurity, we scour the globe for all the latest tech releases, news and info just so you don’t have to! Covering everything from cryptocurrency to robotics, small startups to multinational corporations like Tesla and Jeff Bezos to Elon Musk and everything in between!

Researchers from Google and Harvard have released the most detailed map ever created of the human brain.

The map (called a connectome) contains “imaging data that covers roughly one cubic millimeter of brain tissue, and includes tens of thousands of reconstructed neurons, millions of neuron fragments, 130 million annotated synapses, 104 proofread cells, and many additional subcellular annotations and structures,” according to Google AI Blog.

Using a tool called the Neuroglancer (a cyberpunk novel if I’ve ever heard one!), you can browse that brain detail yourself.

It’s more likely than you think.


When it comes to interstellar missions, however, there are no plans for crewed missions on the table. While there are proposals for sending robotic missions, sending astronauts to nearby stars and exoplanets simply isn’t feasible yet.

However, according to new research led by the University of California, interstellar missions could be conducted in the near future that would have tardigrades (aka. “Water Bears”) as their crew.

The study, titled “The First Interstellar Astronauts Will Not Be Human,” was conducted by researchers from UC Santa Barbara, the UCLA Health Center, the University of Florida, and Ruhr-University Bochum. It will be published in the January 2022 issue of Acta Astronautica.

Companies like Facebook parent Meta and Google parent Alphabet have all experienced major A.I. bias blunders, sometimes involving computer vision technology misidentifying Black people with primates. Numerous high-profile academic studies, articles in mainstream news outlets, and proposed regulations by lawmakers in the European Union and elsewhere continue to bring the issue to the forefront.

On a personal note, I’ve lost count of the number of times I’ve had to write variations of the phrase “facial recognition software that works better on white males than women and people of color” in articles about A.I. bias.

Many companies are experimenting with AI, often in many different areas of the company. But experimentation is not enough. It’s essential to have a bold corporate strategy driven from the top. The AI strategy needs to be coordinated throughout the company in tight alignment with the overall business strategy.

AI can be scary for employees, and many are worried about their jobs (see another jobs?). The most successful AI-fueled organizations lead with change management to enable AI systems to succeed.

A key factor for successful change management is trust. Companies that focus on relationship-building, collaboration, and training engender trust. Successful companies help employees understand that most AI replaces tasks, not jobs. Those companies are aiming to augment jobs so that AI and employees work together. If AI is going to replace jobs, management needs to be clear about exactly how that will play out for the employees and provide opportunities for them to upskill or reskill.

Full Story:


Deloitte recently published a comprehensive study of the current state of AI, asking the question: “What are today’s most AI-fueled organizations doing differently to drive success?”

In this article, I provide you with a summary of their findings to determine whether or not you need to go deeper to get more value.