When people say there s no money for advanced AI research, robotics research, energy research, etc… etc… take a close look at who was rollin in money and buyin below items.

“The fraud was so easy to commit. All of the information was self-reported and none of it was verified or checked,” Haywood Talcove of LexisNexis Risk Solutions told The Post.

“During the height of the pandemic, it was really hard to purchase [luxury] items like a Rolls-Royce, or a high-end Mercedes because you had people walking in with cash from the PPP program to purchase those items for whatever the dealer was asking,” Talcove said.

Justice might finally be catching up with some of the fraudsters: A total of 803 arrests have taken place as of May 2023 for pandemic fraud, the SBA said.

To advance our capabilities in protein engineering, MIT CSAIL researchers came up with “FrameDiff,” a computational tool for creating new protein structures beyond what nature has produced. The machine learning approach generates “frames” that align with the inherent properties of protein structures, enabling it to construct novel proteins independently of preexisting designs, facilitating unprecedented protein structures.

“In nature, protein design is a slow-burning process that takes millions of years. Our technique aims to provide an answer to tackling human-made problems that evolve much faster than nature’s pace,” says MIT CSAIL PhD student Jason Yim, a lead author on a new paper about the work. “The aim, with respect to this new capacity of generating synthetic protein structures, opens up a myriad of enhanced capabilities, such as better binders. This means engineering proteins that can attach to other molecules more efficiently and selectively, with widespread implications related to targeted drug delivery and biotechnology, where it could result in the development of better biosensors. It could also have implications for the field of biomedicine and beyond, offering possibilities such as developing more efficient photosynthesis.

Photosynthesis is how plants and some microorganisms use sunlight to synthesize carbohydrates from carbon dioxide and water.

A small soft robot composed of strategically magnetized polymers could one day find its way into human bodies.

Researchers led by Leipzig University have found a application in oncology for the scientific field of Physics of Cancer. This is a milestone for the new research field, proving its clinical relevance for the first time. Based on tissue and cell mechanics and using machine learning, the team developed a marker for cancer cell motility in digital pathology.

The marker delivers new information about breast tumors that will improve the ability to predict the risk of metastasis, even after a decade has passed. The researchers have just published their new findings in the journal Physical Review X.

In a retrospective study of 1,380 female breast cancer patients, conducted in close collaboration with Professor Axel Niendorf from the Pathologie Hamburg-West institute, doctoral researcher Pablo Gottheil from the research group led by Professor Josef Alfons Käs at Leipzig University found that a collective transition of cancer cells to motility, known in specialist circles as “unjamming,” significantly increases the risk of distant metastases.