Lifeboat Foundation

Dr. Anirban Maitra is a Professor of Pathology and Translational Molecular Pathology at MD Anderson Cancer Center. His research focuses on the early detection and treatment of pancreatic cancer.

Originally studying pediatric pathology, Dr. Maitra’s career trajectory changed upon attending a seminar on pancreatic cancer, which motivated him to address knowledge gaps in the disease’s biology. He wanted to explore the molecular and clinical aspects of the disease for the sake of improving patient prognosis. “This is a disease where there’s an opportunity to make a huge difference,” said Dr. Maitra.

Later, Dr. Maitra’s lab developed a pancreatic cancer liquid biopsy method, which is a non-invasive blood test that detects the presence of tumors. “There’s still a long way to go, but now we know what to look for and who to look in,” said Dr. Maitra regarding the future direction of pancreatic cancer detection.

A new durable, biodegradable plastic breaks down in seawater, offering a potential solution to microplastic pollution.

This material, based on supramolecular structures, can be tailored for different uses and is fully recyclable, enhancing its environmental benefits.

New Sustainable Plastic

Scientists at Washington State University and Lawrence Berkeley National Laboratory have discovered a way to make ions move more than ten times faster in mixed organic ion-electronic conductors. These conductors combine the advantages of the ion signaling used by many biological systems, including the human body, with the electron signaling used by computers.

The new development, detailed in the journal Advanced Materials, speeds up ion movement in these conductors by using molecules that attract and concentrate ions into a separate nanochannel creating a type of tiny “ion superhighway.”

An MRI scan shows a Chiari type-1 malformation, in which the cerebellum extends beyond the gap in the skull where it connects to the spinal cord.

Artificial intelligence identified 3 subtypes of Chiari type-1 malformations, could improve medical decision making.

Natural Language Reinforcement Learning.

Xidong Feng, Ziyu Wan, Haotian Fu, Bo Liu, Mengyue Yang, Girish A. Koushik, Zhiyuan Hu, Ying Wen, Jun Wang.

University College London & Shanghai Jiao Tong University & Brown University Paper: https://arxiv.org/abs/2411.14251 Code: https://github.com/…

Continue reading “Waterhorse1/Natural-language-RL” »

#AINews #ArtificialIntelligence #MachineLearning.

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Tom Temin So what are you trying here in cyber security that hasn’t been thought of already?

Howard Shrobe Well, actually, this is a very old idea. And the analogy would help if you think about the way we build ships. The goal, of course, is for them not to fill up with water. And so we try to build them with strong hulls that are hard to penetrate. But we don’t stop there. We also build it into compartments that can isolate the flow. So the analogy to software systems or to computer systems more generally is, the attackers may get in, but we don’t want them to be able to advance from one place to the next. And so this idea of compartmentalization has a realization by breaking systems up into small pieces, each of which executes only with the privilege it really needs to do its job. And that principle goes back a long, long time in computer science. But it’s always been impractical, in fact, to enforce it because the overhead is too high. So the approach we’re taking is to use novel computer architectures, novel extensions to current conventional architectures to make the enforcement easy.

The sun is once again extremely active. A massive sunspot is slowly turning towards Earth and is expected to spew out solar flares directly at us, leading to not just auroras but also radio blackouts. Named AR3901, the sunspot has already released some flares, with more expected in the coming days.

On Monday, the sun fired nine M-class solar flares, most of them originating from this active sunspot. Earth was not in the firing line of these flares, but when the spot turns towards the planet, things might go a little awry.

“Solar flare activity has remained at high levels with 10 M-Class, R1 (Minor) level flares over the period. Much of the activity has stemmed from Region 3,901 (S07E63, Dai/beta-gamma) which remains difficult to analyse due to foreshortening near the east limb,” NOAA’s Space Weather Prediction Center (SWPC) said in a forecast discussion.

How can scientific discoveries based on large volumes of experimental data be accelerated by artificial intelligence (AI)? This can be achieved in heterogeneous catalysis, according to a recent study led by Prof. Weixue Li from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences, published in Science.

The researchers developed a comprehensive theory of metal-support interaction (MSI), a key aspect of catalysis, by combining interpretable AI with domain knowledge, experimental data, and first-principles simulations.

Supported metal catalysts are widely used in industrial chemical production, petrochemical refining, and environmental control systems like exhaust catalysts. MSI influences interfacial activities, such as charge transfer, chemical composition, perimeter sites, particle shape, and suboxide encapsulation, in addition to stabilizing dispersed catalysts. As a result, modifying MSI is one of the few ways to enhance catalyst performance.