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What investors need to know about ‘Dencun,’ Ethereum’s next big tech upgrade – CNBC
Ethereum is on its way to being a faster and cheaper network to use. The widely anticipated technological upgrade, dubbed "Dencun," is scheduled to take place Wednesday, and is meant to increase efficiency and reduce network fees for users of Ethereum particularly traders who use decentralized finance (DeFi) protocols
Ethereum stans are putting the Bee Movie on blobs for as little as $5 – Cointelegraph
In true degen fashion, it took less than thirteen minutes after the launch of Ethereums Dencun upgrade for someone to upload the entire Bee Movie script on the mainnet costing only around $14. Ethereum developer Dan Cline claims he was the first to upload the full-length script on the blockchain, taking advantage of a new upgrade that aims to vastly reduce fees on Ethereum layer 2s. I didn't get the first blob, but as far as I can tell I DID get the first BEE MOVIE on mainnet, wrote Cline in a March 13 post to X.
Cheatsheet: Ethereum on track to burn $10B ETH over next year – Blockworks
This is Cheatsheet, a primer on whats happening in crypto today. Crypto has hit that point of the bull market where anything and everything is rallying without any real link between star performers. Today, toncoin (TON) is beating the top end of the table, up 25% as of 8 am ET.
Average transaction fees on Ethereum L2 networks drop following Dencun upgrade – crypto.news
Dencun, the latest upgrade to grace the Ethereum network, might have fulfilled its vision to address high fees, as data confirms a significant drop in average transaction fees across Ethereum layer-2 (L2) networks. Following an extended period of anticipation, the Dencun upgrade finally went live on the Ethereum mainnet on March 13, as confirmed by Ethereum Foundation Protocol Support Tim Beiko. According to data provided by Dune, L2 protocols utilizing blob transactions have experienced a significant decrease in transaction fees, with platforms such as Base, Optimism, and Arbitrum seeing some of the largest drops shortly after Dencun went live.
Ethereum, Ripple face challenges, Raffle Coin attracts investors – crypto.news
Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.
HEAL: A framework for health equity assessment of machine learning performance – Google Research
Posted by Mike Schaekermann, Research Scientist, Google Research, and Ivor Horn, Chief Health Equity Officer & Director, Google Core Health equity is a major societal concern worldwide with disparities having many causes.
Machine intelligence-accelerated discovery of all-natural plastic substitutes – Nature.com
Materials MMT (BYK Additives Incorporation; Cloisite Na+), northern bleached softwood kraft (NBSK) pulp (NIST RM 8495), TEMPO (Sigma-Aldrich, 99%), sodium bromide (NaBr, Sigma-Aldrich, ACS reagent, 99.0%), sodium hypochlorite solution (NaClO, Sigma-Aldrich, reagent grade, available chlorine 1015%), sodium hydroxide (NaOH, Sigma-Aldrich, reagent grade, 98%), gelatin (Sigma-Aldrich, from cold-water fish skin) and glycerol (Sigma-Aldrich, ACS reagent, 99.5%) were used as received without further purification. Deionized (DI) water (18.2M) was obtained from a Milli-Q water purification system (Millipore) and used as the water source throughout this work. The MMT nanosheet dispersion was prepared according to the literature57
Accurate and rapid antibiotic susceptibility testing using a machine learning-assisted nanomotion technology platform – Nature.com
All experimental procedures and bioinformatic analyses in this work comply with ethical regulations and good scientific practices.
Expert on how machine learning could lead to improved outcomes in urology – Urology Times
In this video, Glenn T. Werneburg, MD, PhD, shares the take-home message from the abstracts "Machine learning algorithms demonstrate accurate prediction of objective and patient-reported response to botulinum toxin for overactive bladder and outperform expert humans in an external cohort and "Machine learning algorithms predict urine culture bacterial resistance to first line antibiotic therapy at the time of sample collection, which were presented at the Society of Urodynamics, Female Pelvic Medicine & Urogenital Reconstruction 2024 Winter Meeting in Fort Lauderdale, Florida. Werneburg is a urology resident at Glickman Urological & Kidney Institute at Cleveland Clinic, Cleveland, Ohio
Machine Learning, Quantum Computing Can Transform Health Care, Including Diagnosing Pneumonia – Carnegie Mellon University
Machine learning is used for prediction, and in health care we want to predict if somebody has a disease or not, he said. If you give enough examples of images that have pneumonia and not pneumonia, because there are two cases, this is called binary classification. Tayur and a team of researchers studied a technique called support vector machine for classification using quantum-inspired computing, then compared it to other methodsin a recent paper.