With the release of platforms like DALL-E 2 and Midjourney, diffusion generative models have achieved mainstream popularity, owing to their ability to generate a series of absurd, breathtaking, and often meme-worthy images from text prompts like "teddy bears working on new AI research on the moon in the 1980s." But a team of researchers at MIT's Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic) thinks there could be more to diffusion generative models than just creating surreal images -- they could accelerate the development of new drugs and reduce the likelihood of adverse side effects. A paper introducing this new molecular docking model, called DiffDock, will be presented at the 11th International Conference on Learning Representations. The model's unique approach to computational drug design is a paradigm shift from current state-of-the-art tools that most pharmaceutical companies use, presenting a major opportunity for an overhaul of the traditional drug development pipeline. Drugs typically function by interacting with the proteins that make up our bodies, or proteins of bacteria and viruses.
A recent study published in Nature Communications comprehensively evaluated computational methods used for spatial transcriptomics data analysis. The scientists investigated how well various advanced computer methods performed on real and simulated datasets and recommended which method to use depending on the type of analysis required. The guidelines may be helpful to researchers who want to improve the accuracy of their cellular analysis and understand complex tissue structures. The study has the potential to significantly transform how researchers approach spatial transcriptomics, ultimately advancing the understanding of how cells function in different tissues. Traditionally, gene expression is measured in bulk tissues providing an average mRNA expression level of mRNAs across all cells and all cell types in the tissue.
Carried out the 2014 coup d'état in Ukraine The US is a state sponsor of terrorism https://t.co/CKykvqUa5U To be discussed tonight pic.twitter.com/kTf0ehwhbG This is one of the most disturbing videos I have ever seen. It confirms that the TGA knew back in Jan 2021 that the lipid nanoparticles (and the mRNA) didn't stay in the inject site, but spread throughout the entire body including the brain, the liver and female ovaries. Today, Democrats defeated my amendment to require Senate ratification for any pandemic agreement with the World Health Organization. Now we know Democrats are willing to relinquish U.S. sovereignty to a global entity. Jim lays it out very well. Renowned author and journalist James Howard Kunstler (JHK) has been complaining and pointing out that the American public is told one lie after another by the Lying Legacy Media (LLM), the government and the medical community. This kind of lying, according to JHK, is pure treason by all parties, from the 600 million CV19 bioweapon/vax injections, to the crumbling banking system, to the war in Ukraine. Let's start with the genocide of the CV19vax.
Multiplexed detection of biomarkers in real-time is crucial for sensitive and accurate diagnosis at the point of use. This scenario poses tremendous challenges for detection and identification of signals of varying shape and quality at the edge of the signal-to-noise limit. Here, we demonstrate a robust target identification scheme that utilizes a Deep Neural Network (DNN) for multiplex detection of single particles and molecular biomarkers. The model combines fast wavelet particle detection with Short-Time Fourier Transform analysis, followed by DNN identification on an AI-specific edge device (Google Coral Dev board). The approach is validated using multi-spot optical excitation of Klebsiella Pneumoniae bacterial nucleic acids flowing through an optofluidic waveguide chip that produces fluorescence signals of varying amplitude, duration, and quality. Amplification-free 3× multiplexing in real-time is demonstrated with excellent specificity, sensitivity, and a classification accuracy of 99.8%. These results show that a minimalistic DNN design optimized for mobile devices provides a robust framework for accurate pathogen detection using compact, low-cost diagnostic devices.
Using artificial intelligence and archival news articles, a teenager in Northern Virginia created a program to measure media biases – and in researching older news articles, she found that Black homicide victims were less likely to be humanized in news coverage. Emily Ocasio, an 18-year-old from Falls Church, Virginia, created an AI program that analyzed FBI homicide records between 1976 and 1984 and their corresponding coverage published in The Boston Globe to determine whether victims were presented in a humanizing or impersonal way. After analyzing 5,042 entries, the results showed that Black men under the age of 18 were 30% less likely to receive humanizing coverage than their White counterparts, Ocasio told CNN. Black women were 23% less likely to be humanized in news stories, Ocasio added. A news article was considered humanizing when it mentioned additional information about the victim and presented them "as a person, not just a statistic," Ocasio said in her project presentation.
Researchers at the McGovern Institute for Brain Research at MIT and the Broad Institute of MIT and Harvard have harnessed a natural bacterial system to develop a new protein delivery approach that works in human cells and animals. The technology, described today in Nature, can be programmed to deliver a variety of proteins, including ones for gene editing, to different cell types. The system could potentially be a safe and efficient way to deliver gene therapies and cancer therapies. Led by MIT Associate Professor Feng Zhang, who is a McGovern Institute investigator and Broad Institute core member, the team took advantage of a tiny syringe-like injection structure, produced by a bacterium, that naturally binds to insect cells and injects a protein payload into them. The researchers used the artificial intelligence tool AlphaFold to engineer these syringe structures to deliver a range of useful proteins to both human cells and cells in live mice.
Circa is pleased to announce a formal partnership with EngageRocket, a leading employee engagement and performance software based in Asia that empowers companies to enable human connections at scale. Circa is partnering with EngageRocket to provide its U.S. customers and prospects access to their employee experience solutions to improve employee engagement and productivity. The purpose of this partnership is to improve business outcomes across the shared customer base and support federal contractors' retention efforts with their employee experience software. EngageRocket will refer Circa's SaaS-based technology solutions to their customers while Circa offers its customers access to EngageRocket's employee experience and feedback solutions. Circa provides OFCCP compliance management and recruiting technology solutions to deliver qualified candidates on an equitable playing field for organizations to build high-performing, diverse teams.
Flexential, a leading provider of data center colocation, cloud and connectivity, and a member of Oracle PartnerNetwork (OPN), announced it will offer connectivity to Oracle Cloud through Oracle Cloud Infrastructure FastConnect. Flexential is expanding its Cloud Fabric ecosystem by offering low latency interconnection options to Oracle Cloud Infrastructure (OCI). This can allow customers in any Flexential data center across its national FlexAnywhere platform to connect to OCI. Through collaboration with Flexential, Oracle customers can benefit from reliable network access to their cloud data and applications from any Flexential facility via Oracle FastConnect on-ramps located in Ashburn, VA, San Jose, CA, and Chicago, IL. This has the potential to facilitate improved performance, enhanced control, flexibility, and scalability through easier access to critical business data and functions.
This is our AI Daily Roundup . We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence (AI), Machine Learning, Robotic Process Automation, Fintech, and human-system interactions. We cover the role of AI Daily Roundup and its application in various industries and daily lives. MemberPress, an award-winning membership and LMS plugin for WordPress announced its Uncanny Automator-based integration with ChatGPT, a trending AI-powered technology developed by artificial intelligence (AI) company OpenAI.
AI/ML Job: ML Engineer ML Engineer at Nobias Remote › Worldwide, 100% remote position (Posted Feb 18 2023) Please mention that you found the job at Jobhunt.ai Apply now! Job description Calling all ML engineers, computational biologists, and medicinal or computational chemists Nobias is a new pharma startup using a variety of AI tools to speed drug development. We are an early stage biotech using large repositories of biological data, cutting edge deep learning techniques, automated reasoning, and computational biochemistry to discover and develop new medicines, diagnostics, and insights for a variety of diseases. We have a world-class team, and are looking for the best people at the frontiers of technology and biology. If you have strong programming chops, a background in ML, and deep knowledge of biology or computational biology/chemistry, we would love to talk to you.