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A test of artificial intelligence. As debate rages over the abilities of modern AI systems, scientists are still struggling to effectively assess machine intelligence. By Michael Eisenstein. 14...
2013. Integrated electrochemical microsystems for genetic detection of pathogens at the point of care. K Hsieh, BS Ferguson, M Eisenstein, KW Plaxco, HT Soh. Accounts of chemical research 48 (4), 911-920. , 2015. 157. 2015. Particle display: a quantitative screening method for generating high‐affinity aptamers.
- Overview
- Deep learning for protein design
- Deepfake detection
From protein engineering and 3D printing to detection of deepfake media, here are seven areas of technology that Nature will be watching in the year ahead.
Two decades ago, David Baker at the University of Washington in Seattle and his colleagues achieved a landmark feat: they used computational tools to design an entirely new protein from scratch. ‘Top7’ folded as predicted, but it was inert: it performed no meaningful biological functions. Today, de novo protein design has matured into a practical tool for generating made-to-order enzymes and other proteins. “It’s hugely empowering,” says Neil King, a biochemist at the University of Washington who collaborates with Baker’s team to design protein-based vaccines and vehicles for drug delivery. “Things that were impossible a year and a half ago — now you just do it.”
Much of that progress comes down to increasingly massive data sets that link protein sequence to structure. But sophisticated methods of deep learning, a form of artificial intelligence (AI), have also been essential.
The explosion of publicly available generative AI algorithms has made it simple to synthesize convincing, but entirely artificial images, audio and video. The results can offer amusing distractions, but with multiple ongoing geopolitical conflicts and a US presidential election on the horizon, opportunities for weaponized media manipulation are rife.
Siwei Lyu, a computer scientist at the University at Buffalo in New York, says he’s seen numerous AI-generated ‘deepfake’ images and audio related to the Israel–Hamas conflict, for instance. This is just the latest round in a high-stakes game of cat-and-mouse in which AI users produce deceptive content and Lyu and other media-forensics specialists work to detect and intercept it.
My educational and research background is in genetics and cellular and molecular biology. However, I have written about a broad array of science and technology topics, including biomedical engineering, chemistry, synthetic biology, public health, bioethics, science policy, biotechnology and intellectual property (among other subjects).
9 set 2021 · Michael Eisenstein, Ken Garber, Esther Landhuis, Caroline Seydel and Laura DeFrancesco report. Venture capital (VC) continured to flow into the private biotech sector, as total funding outpaced...
21 gen 2022 · Michael Eisenstein is a science writer based in Philadelphia, Pennsylvania. Biotech April 28, 2023. Proteins Never Seen in Nature Are Designed Using AI to Address Biomedical and Industrial...
Author. Michael Eisenstein. PMID: 37072518. DOI: 10.1038/d41586-023-01300-w. No abstract available. Keywords: Computational biology and bioinformatics; DNA sequencing; Genomics; Molecular biology. MeSH terms. Genetic Variation* Genome* / genetics. Genomics* / methods. Genomics* / standards. Genomics* / trends. Species Specificity.
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