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Watch any episode of “CSI,” and a character will use forensic DNA profiling to identify a criminal. A new study from San Francisco State University suggests that these forensic profiles may indirectly reveal medical information—perhaps even those of crime victims—contrary to what the legal field has believed for nearly 30 years. The findings, now published in the Proceedings of the National Academy of Sciences, could have ethical and legal implications.

“The central assumption when choosing those [forensic] markers was that there wouldn’t be any information about the individuals whatsoever aside from identification. Our paper challenges that assumption,” said first author Mayra Bañuelos, who started working on the project as a San Francisco State undergraduate and is now a Ph.D. student at Brown University.

Continue reading “Study questions the medical privacy of forensic samples” »

The U.S. Department of Energy’s (DOE) Office of Science announced allocations of supercomputer access to 56 high-impact computational science projects for 2023 through its Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. These awards, which will pursue transformational advances in science and engineering, account for 60% of the available time on the leadership-class supercomputers at DOEs Argonne and Oak Ridge national laboratories.

The projects will support a broad range of large-scale research campaigns to advance knowledge in areas ranging from astrophysics to sustainable energy technologies to materials design and discovery.

Jointly managed by the Argonne Leadership Computing Facility (ALCF) and the Oak Ridge Leadership Computing Facility (OLCF), the INCITE program is the primary means by which the facilities fulfill their mission to advance open science by providing the scientific community with access to their powerful supercomputing resources. The ALCF and OLCF are DOE Office of Science user facilities.

As LHC Run 3 gets into its stride and the first results at a new energy frontier roll in (p5), all eyes are on what’s next: the High-Luminosity LHC (HL-LHC), scheduled to start operations in 2029. Civil engineering for the major upgrade is complete (p7) and new crystal collimators for HL-LHC operations are to be put to the test during the current run (p35). Looking beyond the LHC, how best to deal with the millions of cubic metres of excavation materials from a future circular collider? (p9), and a new project to explore the use of high-temperature superconductors for FCC-ee (p8). The HL-LHC and proposed future colliders also feature large in the recent US Snowmass community planning exercise (p23).

For more than half a century, researchers around the world have been struggling with an algorithmic problem known as “the single source shortest path problem.” The problem is essentially about how to devise a mathematical recipe that best finds the shortest route between a node and all other nodes in a network, where there may be connections with negative weights.

Sound complicated? Possibly. But in fact, this type of calculation is already used in a wide range of the apps and technologies that we depend upon for finding our ways around—as Google Maps guides us across landscapes and through cities, for example.

Now, researchers from the University of Copenhagen’s Department of Computer Science have succeeded in solving the single source shortest path problem, a riddle that has stumped researchers and experts for decades.

Yitang (Tom) Zhang, a Chinese-American mathematician who recently revealed that he had solved the Landau-Siegel zeros conjecture, delivered an online speech at Peking University on November 8 to answer external questions on his newly published 111-page paper.

On November 7, Zhang’s new paper, “Discrete Mean Estimates and the Landau-Siegel Zero,” was officially launched on arXiv, an open-access repository of electronic preprints and postprints.

During the speech, Zhang used a whiteboard and a black marker to show the relevant proof formulas by hand and explain the innovations. He gave the speech in Chinese and didn’t use PowerPoint.

DeviantArt faced backlash Friday after the popular art website introduced a brand-new Artificial Intelligence tool that would allow systems to generate works of art on their own.

The AI — which is being called DreamUp — is meant to push for “safe and fair” AI image generation for DeviantArt users, reports Endgadget.

“AI technology for creation is a powerful force we can’t ignore,” said DeviantArt CEO Moti Levy.

Generative AI models for businesses threaten to upend the world of content creation, with substantial impacts on marketing, software, design, entertainment, and interpersonal communications. These models are able to produce text and images: blog posts, program code, poetry, and artwork. The software uses complex machine learning models to predict the next word based on previous word sequences, or the next image based on words describing previous images. Companies need to understand how these tools work, and how they can add value.

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.342234 data-title= How Generative AI Is Changing Creative Work data-url=/2022/11/how-generative-ai-is-changing-creative-work data-topic= data-authors= Thomas H. Davenport; Nitin Mittal data-content-type= Digital Article data-content-image=/resources/images/article_assets/2022/11/Nov22_14_1364531717-383x215.jpg data-summary=

It may soon be standard practice for AI tools — such as GPT-3 and DALL-E — to provide first drafts of emails, articles, reports, blog posts, presentations, videos, and more.

Cheers!

𝐁𝐞𝐞𝐫 𝐈𝐧𝐠𝐫𝐞𝐝𝐢𝐞𝐧𝐭 𝐌𝐚𝐲 𝐈𝐧𝐡𝐢𝐛𝐢𝐭 𝐂𝐥𝐮𝐦𝐩𝐢𝐧𝐠 𝐨𝐟 𝐀𝐥𝐳𝐡𝐞𝐢𝐦𝐞𝐫’𝐬 𝐏𝐫𝐨𝐭𝐞𝐢𝐧

𝘽𝙚𝙚𝙧 𝙞𝙨 𝙤𝙣𝙚 𝙤𝙛 𝙩𝙝𝙚 𝙤𝙡𝙙𝙚𝙨𝙩 𝙖𝙣𝙙 𝙢𝙤𝙨𝙩 𝙥𝙤𝙥𝙪𝙡𝙖𝙧 𝙗𝙚𝙫𝙚𝙧𝙖𝙜𝙚𝙨 𝙞𝙣 𝙩𝙝𝙚 𝙬𝙤𝙧𝙡𝙙, 𝙬𝙞𝙩𝙝 𝙨𝙤𝙢𝙚 𝙥𝙚𝙤𝙥𝙡𝙚 𝙡𝙤𝙫𝙞𝙣𝙜 𝙖𝙣𝙙 𝙤𝙩𝙝𝙚𝙧𝙨 𝙝𝙖𝙩𝙞𝙣𝙜 𝙩𝙝𝙚 𝙙𝙞𝙨𝙩𝙞𝙣𝙘𝙩, 𝙗𝙞𝙩𝙩𝙚𝙧 𝙩𝙖𝙨𝙩𝙚 𝙤𝙛 𝙩𝙝𝙚 𝙝𝙤𝙥𝙨 𝙪𝙨𝙚𝙙 𝙩𝙤 𝙛𝙡𝙖𝙫𝙤𝙧 𝙞𝙩𝙨 𝙢𝙖𝙣𝙮 𝙫𝙖𝙧𝙞𝙚𝙩𝙞𝙚𝙨. 𝘽𝙪𝙩 𝙖𝙣 𝙚𝙨𝙥𝙚𝙘𝙞𝙖𝙡𝙡𝙮 “𝙝𝙤𝙥𝙥𝙮” 𝙗𝙧𝙚𝙬 𝙢𝙞𝙜𝙝𝙩 𝙝𝙖𝙫𝙚 𝙪𝙣𝙞𝙦𝙪𝙚 𝙝𝙚𝙖𝙡𝙩𝙝 𝙗𝙚𝙣𝙚𝙛𝙞𝙩𝙨. 𝙍𝙚𝙘𝙚𝙣𝙩 𝙧𝙚𝙨𝙚𝙖𝙧𝙘𝙝 𝙥𝙪𝙗𝙡𝙞𝙨𝙝𝙚𝙙 𝙞𝙣 𝘼𝘾𝙎 𝘾𝙝𝙚𝙢𝙞𝙘𝙖𝙡 𝙉𝙚𝙪𝙧𝙤𝙨𝙘𝙞𝙚𝙣𝙘𝙚 𝙧𝙚𝙥𝙤𝙧𝙩𝙨 𝙩𝙝𝙖𝙩 𝙘𝙝𝙚𝙢𝙞𝙘𝙖𝙡𝙨 𝙚𝙭𝙩𝙧𝙖𝙘𝙩𝙚𝙙 𝙛𝙧𝙤𝙢 𝙝𝙤𝙥 𝙛𝙡𝙤𝙬𝙚𝙧𝙨 𝙘𝙖𝙣, 𝙞𝙣 𝙡𝙖𝙗 𝙙𝙞𝙨𝙝𝙚𝙨, 𝙞𝙣𝙝𝙞𝙗𝙞𝙩 𝙩𝙝𝙚 𝙘𝙡𝙪𝙢𝙥𝙞𝙣𝙜 𝙤𝙛 𝙖𝙢𝙮𝙡𝙤𝙞𝙙 𝙗𝙚𝙩𝙖 𝙥𝙧𝙤𝙩𝙚𝙞𝙣𝙨, 𝙬𝙝𝙞𝙘𝙝 𝙞𝙨 𝙖𝙨𝙨𝙤𝙘𝙞𝙖𝙩𝙚𝙙 𝙬𝙞𝙩𝙝 𝘼𝙡𝙯𝙝𝙚𝙞𝙢𝙚𝙧’𝙨 𝙙𝙞𝙨𝙚𝙖𝙨𝙚 (𝘼𝘿).

Continue reading “Beer Ingredient May Inhibit Clumping of Alzheimer’s Protein” »

Researchers in the Princeton University Department of Chemistry have discovered a new multi-step pathway through which bacteria found in the mammalian gut produce antimicrobial peptides.

The newly identified biosynthetic pathway transforms a biologically inert peptide into structurally complex antibiotics, which they call enteropeptins. Enteropeptins are a class of ribosomally synthesized peptide natural products, referred to as RiPPs.

The core structure of these products is synthesized by the ribosome, which is limited to the 20 canonical amino acids. The Mo Lab discovered and characterized new metalloenzymes capable of converting arginine, a canonical amino acid, into N-methylornithine, a noncanonical amino acid, within enteropeptin.