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Summary: Researchers achieved a groundbreaking feat by creating the first complete cell atlas of a mammalian brain, specifically a mouse. This comprehensive map details over 32 million cells, their types, locations, molecular information, and connectivity.

The atlas offers an in-depth look into the mouse brain, a crucial model in neuroscience, and lays the groundwork for advanced treatments for mental and neurological disorders. It encompasses structural, transcriptomic, and epigenetic data, providing a blueprint for brain circuit operations and functioning.

The mini-brain functioned like both the central processing unit and memory storage of a supercomputer. It received input in the form of electrical zaps and outputted its calculations through neural activity, which was subsequently decoded by an AI tool.

When trained on soundbites from a pool of people—transformed into electrical zaps—Brainoware eventually learned to pick out the “sounds” of specific people. In another test, the system successfully tackled a complex math problem that’s challenging for AI.

The system’s ability to learn stemmed from changes to neural network connections in the mini-brain—which is similar to how our brains learn every day. Although just a first step, Brainoware paves the way for increasingly sophisticated hybrid biocomputers that could lower energy costs and speed up computation.

Cloud Imperium Games, the developer of sci-fi epic Star Citizen, has released a breathtaking video showcasing the game engine’s capabilities.

Having entered pre-production in 2010, and first been made public in 2012, Star Citizen’s development is one of the longest-running of any game. It has generated both controversy and scepticism, due to this prolonged creation time, frequent delays, and the constant expansion of its scope, which has led some to question the feasibility of the project.

Despite these issues, the work-in-progress game has amassed a huge fanbase and unprecedented crowdfunding success. At half a billion dollars, it ranks as the highest crowdfunded video game and one of the highest-funded crowdfunding projects of any kind.

New research from Oregon Health & Science University could one day lead to therapies that prevent or treat diseases and infections tied to a protein that’s found in all human cells.

A study published today in the journal Molecular Cell describes how the protein ubiquitin is modified during bacterial infection.

The study details the steps taken to create a form of the protein known as lysine 6 polyubiquitin, where a long chain of ubiquitin molecules are linked through the amino acid lysine. This form of ubiquitin helps cells communicate by sending a molecular message—communication that remains poorly understood.

US Customs and Border Protection (CBP) recently awarded Pangiam, a leading trade and travel technology company, a prime contract for developing and implementing Anomaly Detection Algorithms (ADA).

Pangiam, in collaboration with West Virginia University, aims to bring cutting-edge artificial intelligence (AI), computer vision, and machine learning expertise to enhance CBP’s border and national security missions, the company announced in a press release.

“In the study, we demonstrate how artificial intelligence can be used to carry out fundamental theoretical physics that addresses the behavior of fluids and other complex soft matter systems,” says Prof. Dr. Matthias Schmidt, chair of Theoretical Physics II at the University of Bayreuth.


Scientists from Bayreuth have developed a new method for studying liquid and soft matter using artificial intelligence. In a study now published in the Proceedings of the National Academy of Sciences, they open up a new chapter in density functional theory.

We live in a highly technologized world where basic research is the engine of innovation, in a dense and complex web of interrelationships and interdependencies. The published research provides new methods that can have a great influence on widespread simulation techniques, so that complex substances can be investigated on computers more quickly, more precisely and more deeply.

In the future, this could have an influence on product and process design. The fact that the structure of liquids can be excellently represented by the newly formulated neural mathematical relationships is a major breakthrough that opens up a range of possibilities for gaining deep physical insights.