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Category: robotics/AI – Page 1,022

Now, we live in a time in which AI research and technology is advancing exponentially. In the coming years, AI — and ultimately AGI — has the potential to drive one of the greatest social, economic and scientific transformations in history.

That’s why today Sundar is announcing that DeepMind and the Brain team from Google Research will be joining forces as a single, focused unit called Google DeepMind. Combining our talents and efforts will accelerate our progress towards a world in which AI helps solve the biggest challenges facing humanity, and I’m incredibly excited to be leading this unit and working with all of you to build it. Together, in close collaboration with our fantastic colleagues across the Google Product Areas, we have a real opportunity to deliver AI research and products that dramatically improve the lives of billions of people, transform industries, advance science, and serve diverse communities.

By creating Google DeepMind, I believe we can get to that future faster. Building ever more capable and general AI, safely and responsibly, demands that we solve some of the hardest scientific and engineering challenges of our time. For that, we need to work with greater speed, stronger collaboration and execution, and to simplify the way we make decisions to focus on achieving the biggest impact.

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In 2017, the European Southern Observatory (ESO) obtained the first ever real photo of a black hole. Six years later, artificial intelligence was able to improve the image.

Here’s What We Know

American scientists have decided to improve the photo of a black hole. The original image shows something resembling a “fuzzy donut”. Experts have applied the PRIMO algorithm, based on machine learning, to improve the image.

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LumerB/iStock.

According to Hackaday, “BioBootloader,” a programmer, created the program that can grant Python programs “regenerative healing abilities.” The program takes advantage of OpenAI’s GPT-4 multimodal AI language model, released in March and now accessible to ChatGPT Plus users and beta testers via an API. It performs text-processing activities, including authoring, language translation, and programming, using its “knowledge” of billions of documents, books, and webpages scraped from the internet.

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The plan: Ding could play a key role in helping China get its future lunar bases off the ground — his research team at HUST has designed several potential moon bases and developed technology that could be used to actually construct them on the moon.

One of those is the “Chinese Super Mason,” an autonomous robot designed to create structures out of bricks. Another is the bricks themselves — Ding’s team has come up with a LEGO-like design for the blocks, which it proposes to make using 3D printing, lasers, and lunar regolith.

They could get a chance to see their ideas put to the ultimate test as soon as 2028, as China reportedly plans to send a Super Mason to the moon to build a lunar brick as part of the Chang’e 8 mission, which is expected to launch in 2028.

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To improve upon this technology, researchers created a souped-up MRI outfitted with a high-powered 9.4-tesla magnet. (For comparison, most MRIs are equipped with a 1.5-to 3-tesla magnet.) They also added gradient coils that are 100 times stronger than current models and are what create the images, as well as a high-speed computer that is as powerful as approximately 800 laptops, according to the statement.

After scanning the mouse brain, the researchers sent tissue samples to be imaged using a technique called light sheet microscopy, which allowed them to label specific groups of cells in the brain that were then mapped onto the original MRI. These additional steps provided a colorful view of cells and circuits throughout the brain, according to the statement.

The researchers took one set of MRI images that captured how the mouse’s brain-wide connectivity evolved with age. A second group of images showcased brilliantly colored brain connections that highlighted the deterioration of neural networks in a rodent model of Alzheimer’s disease, according to the statement.

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Alphabet Inc is combining Google Brain and DeepMind, as it doubles down on artificial intelligence research in its race to compete with rival systems like OpenAI’s ChatGPT chatbot.

The new division will be led by DeepMind CEO Demis Hassabis and its setting up will ensure “bold and responsible development of general AI,” Alphabet CEO Sundar Pichai said in a blog post on Thursday (20 April).

Alphabet said the teams that are being combined have delivered a number of high-profile projects including the transformer, technology that formed the bedrock of some of OpenAI’s own work.

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