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  • STAT+: At gene therapy meeting, no one wants to talk about the Vinay Prasad (not) in the room

    STAT+: At gene therapy meeting, no one wants to talk about the Vinay Prasad (not) in the room NEW ORLEANS — Last year, hundreds of people poured in to see Peter Marks, the Food and Drug Administration’s head of biologics, speak at the American Society of Gene and Cell Therapy conference. The regulator was seen by…

  • FDA clears first blood test for diagnosing Alzheimer’s

    FDA clears first blood test for diagnosing Alzheimer’s The Food and Drug Administration approved on Friday the first blood test for diagnosing Alzheimer’s disease, opening up a quicker way for patients to get detected for the neurological condition and receive treatment. The test, developed by Japan-based Fujirebio Diagnostics, uses a blood sample to detect the…

  • STAT+: UnitedHealth’s Optum working on Medicare risk scoring system that would use AI

    STAT+: UnitedHealth’s Optum working on Medicare risk scoring system that would use AI SAN DIEGO — Optum, the health data and care provider division of UnitedHealth Group, is developing a way to calculate how sick Medicare patients are through artificial intelligence, instead of relying solely on diagnosis codes submitted by physicians. Ken Cohen, a physician…

  • Users Taunt Grok After xAI Says Modifications Were Made to Spit out ‘White Genocide’ Claim

    Users Taunt Grok After xAI Says Modifications Were Made to Spit out ‘White Genocide’ Claim Grok’s references to “white genocide” drew mockery and memes, fueling speculation over Elon Musk’s influence as xAI blamed a prompt update. Vismaya V Go to decrypt.co

  • Australian Crypto Exchange Cointree Fined Over Delayed Suspicious Activity Reports

    Australian Crypto Exchange Cointree Fined Over Delayed Suspicious Activity Reports Cointree was fined after voluntarily disclosing delays in filing suspicious activity reports, as AUSTRAC intensifies crypto oversight. Vismaya V Go to decrypt.co

  • DOJ Charges $236M Crypto Crime Ring That Spent Millions at Nightclubs

    DOJ Charges $236M Crypto Crime Ring That Spent Millions at Nightclubs Defendants allegedly stole hundreds of millions in crypto and then blew it on supercars, private jets, and designer bags. Callan Quinn Go to decrypt.co

  • Wisconsin Pension Fund Sold $300M BlackRock Bitcoin ETF Stake Amid Tariff Turmoil, New Filing Shows

    Wisconsin Pension Fund Sold $300M BlackRock Bitcoin ETF Stake Amid Tariff Turmoil, New Filing Shows The Wisconsin fund sold its Bitcoin ETF stake sometime in Q1, weeks before sweeping U.S. tariffs triggered a crypto market slide. Jason Nelson Go to decrypt.co

  • Coinbase SEC Probe and Security Breach Unlikely to Derail Growth, Experts Say

    Coinbase SEC Probe and Security Breach Unlikely to Derail Growth, Experts Say Experts say Coinbase’s inclusion in the S&P 500 is unlikely to be affected by an SEC probe and recent insider-led data breach. Callan Quinn Go to decrypt.co

  • On Measuring Intrinsic Causal Attributions in Deep Neural Networks

    On Measuring Intrinsic Causal Attributions in Deep Neural Networks arXiv:2505.09660v1 Announce Type: new Abstract: Quantifying the causal influence of input features within neural networks has become a topic of increasing interest. Existing approaches typically assess direct, indirect, and total causal effects. This work treats NNs as structural causal models (SCMs) and extends our focus to…

  • Learning Multi-Attribute Differential Graphs with Non-Convex Penalties

    Learning Multi-Attribute Differential Graphs with Non-Convex Penalties arXiv:2505.09748v1 Announce Type: new Abstract: We consider the problem of estimating differences in two multi-attribute Gaussian graphical models (GGMs) which are known to have similar structure, using a penalized D-trace loss function with non-convex penalties. The GGM structure is encoded in its precision (inverse covariance) matrix. Existing methods…

  • LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data

    LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data arXiv:2505.09803v1 Announce Type: new Abstract: In many scientific and industrial applications, we are given a handful of instances (a ‘small ensemble’) of a spatially distributed quantity (a ‘field’) but would like to acquire many more. For example, a large ensemble of global temperature sensitivity fields…

  • A Scalable Gradient-Based Optimization Framework for Sparse Minimum-Variance Portfolio Selection

    A Scalable Gradient-Based Optimization Framework for Sparse Minimum-Variance Portfolio Selection arXiv:2505.10099v1 Announce Type: new Abstract: Portfolio optimization involves selecting asset weights to minimize a risk-reward objective, such as the portfolio variance in the classical minimum-variance framework. Sparse portfolio selection extends this by imposing a cardinality constraint: only $k$ assets from a universe of $p$ may…

  • Path Gradients after Flow Matching

    Path Gradients after Flow Matching arXiv:2505.10139v1 Announce Type: new Abstract: Boltzmann Generators have emerged as a promising machine learning tool for generating samples from equilibrium distributions of molecular systems using Normalizing Flows and importance weighting. Recently, Flow Matching has helped speed up Continuous Normalizing Flows (CNFs), scale them to more complex molecular systems, and minimize…

  • Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer

    Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer AlphaEvolve imagined as a genetic algorithm coupled to a large language model. Picture created by the author using various tools including Dall-E3 via ChatGPT. Large Language Models have undeniably revolutionized how many of us approach coding, but they’re often more like a super-powered…

  • Understanding Random Forest using Python (scikit-learn)

    Understanding Random Forest using Python (scikit-learn) Decision trees are a popular supervised learning algorithm with benefits that include being able to be used for both regression and classification as well as being easy to interpret. However, decision trees aren’t the most performant algorithm and are prone to overfitting due to small variations in the training…

  • How to Learn the Math Needed for Machine Learning

    How to Learn the Math Needed for Machine Learning Maths can be a scary topic for people. Many of you want to work in machine learning, but the maths skills needed may seem overwhelming. I am here to tell you that it’s nowhere as intimidating as you may think and to give you a roadmap, resources,…

  • How To Build a Benchmark for Your Models

    How To Build a Benchmark for Your Models I’ve been working as a data science consultant for the past three years, and I’ve had the opportunity to work on multiple projects across various industries. Yet, I noticed one common denominator among most of the clients I worked with: They rarely have a clear idea of…

  • 🚪🚪🐐 Lessons in Decision Making from the Monty Hall Problem

    🚪🚪🐐 Lessons in Decision Making from the Monty Hall Problem The Monty Hall Problem is a well-known brain teaser from which we can learn important lessons in Decision Making that are useful in general and in particular for data scientists. If you are not familiar with this problem, prepare to be perplexed . If you…

  • Box sets sights on agentic AI for enterprise content

    Box sets sights on agentic AI for enterprise content Box previews new AI agents. Go to techtarget

  • Will AI-generated content affect SEO best practices?

    Will AI-generated content affect SEO best practices? Content marketers who want to embrace AI-generated content should know how the technology affects SEO best practices and new guidelines on AI tools from major search engines. Go to techtarget

  • Qlik evolves to keep up with latest AI, analytics trends

    Qlik evolves to keep up with latest AI, analytics trends The longtime BI vendor continues to expand beyond its historical base to keep current with what’s happening in GenAI and agentic development, analytics, and data management. Go to techtarget

  • What is systems thinking?

    What is systems thinking? Systems thinking is a holistic approach to analysis that focuses on the way that a system’s constituent parts interrelate and how systems work over time and within the context of larger systems. Go to techtarget

  • Databricks Proposes Acquisition of Neon to Deliver Serverless Postgres

    Databricks Proposes Acquisition of Neon to Deliver Serverless Postgres Databricks, the Data and AI company, announced it intends to acquire Neon, a leading serverless Postgres company, to continue innovating and investing in Neon’s database and developer experience for existing and new Neon customers and partners.? Go to dbta

  • The AI Precipice: A Look at Tangible Success and Realistic Failures at Data Summit 2025?s Day 2 Keynotes

    The AI Precipice: A Look at Tangible Success and Realistic Failures at Data Summit 2025?s Day 2 Keynotes During Data Summit’s?Day 2 keynotes, Andreas Welsch, founder and chief AI strategist, Intelligence Briefing, and Ebrahim Alareqi, principal machine learning engineer, Incorta, ruminated on the ways AI can be successfully implemented for practical, tangible success.? Go to…

  • Do You Really Need GenAI? Use Case Considerations at Data Summit 2025

    Do You Really Need GenAI? Use Case Considerations at Data Summit 2025 David Seuss, CEO, Northern Light, led the Data Summit session, “Where, When, & Why to Use GenAI,” considering the ways in which text analytics may pose greater value to many search use cases rather than GenAI.? Go to dbta

  • Clean power surge needed: China’s 2035 climate plan must aim high

    Clean power surge needed: China’s 2035 climate plan must aim high China will need to generate more than half of its power from wind and solar by 2035 to align with global climate goals, according to new research led by the University of California San Diego. The study offers timely recommendations to meet the country’s…

  • Teaching theory of mind to robots can enhance collaboration

    Teaching theory of mind to robots can enhance collaboration Nature is brimming with animals that collaborate in large numbers. Bees stake out the best feeding spots and let others know where they are. Ants construct complex hierarchical homes built for defense. Flocks of starlings move across the sky in beautiful formations as if they were…

  • PhD researcher focuses on clean energy justice for underserved communities

    PhD researcher focuses on clean energy justice for underserved communities Growing up in Lagos, Nigeria, Emmanuel Taiwo developed a deep interest in how environmental and social issues intersect to influence lived experiences and outcomes for different communities. Go to techxplore

  • Simple heating step boosts pressure sensitivity in semiconductor materials eightfold

    Simple heating step boosts pressure sensitivity in semiconductor materials eightfold Stronger cell phone signals, more accurate sensors and cleaner energy may be achieved by adding a simple step to the industrial fabrication process of certain semiconductor materials, documented in a recent study led by engineering researchers at the University of Michigan. Go to techxplore

  • Formula studied for a type of grout capable of ‘self-repairing’ cracks in large buildings

    Formula studied for a type of grout capable of ‘self-repairing’ cracks in large buildings Grout is a mixture commonly used to fill joints between tiles in small domestic projects, and usually features a simple composition of water, cement and sand. However, this is not its only application: in structures that are designed to support heavy…

  • Meta’s new AI chatbot is yet another tool for harvesting data to potentially sell you stuff

    Meta’s new AI chatbot is yet another tool for harvesting data to potentially sell you stuff Last week, Meta — the parent company of Facebook, Instagram, Threads and WhatsApp — unveiled a new “personal artificial intelligence (AI)”. Powered by the Llama 4 language model, Meta AI is designed to assist, chat and engage in natural conversation.…

  • HPE expands private cloud portfolio

    HPE expands private cloud portfolio Hewlett-Packard Enterprise has expanded its private cloud portfolio with new tools aimed at meeting increasing demand for unified virtualisation and cloud management capabilities. The expansion includes the launch into general availability of the HPE Morpheus Software family, including HPE Morpheus VM Essentials for managing virtualised workloads and HPE Morpheus Enterprise…

  • HHS to stop recommending routine Covid shots for children, pregnant people, RFK Jr. ally says

    HHS to stop recommending routine Covid shots for children, pregnant people, RFK Jr. ally says Health Secretary Robert F. Kennedy Jr. is set to announce that the Department of Health and Human Services will stop recommending Covid vaccines for children and pregnant people, a close Kennedy ally said Thursday.  The news arrived between panels at…

  • STAT+: MAHA has a new think tank. The Trump administration is listening

    STAT+: MAHA has a new think tank. The Trump administration is listening The Make America Healthy Again movement is coalescing around a new effort to turn its goals into federal policy. The Trump administration is listening. The MAHA Institute, a policy center launched Thursday, is pushing to change the American health and food systems: from…

  • STAT+: Day 2 of ASGCT: Good news for Baby KJ and the dream of personalized gene editing

    STAT+: Day 2 of ASGCT: Good news for Baby KJ and the dream of personalized gene editing NEW ORLEANS — Greetings from ASGCT, where the gene therapy field had some great news for once, about a highly photogenic infant.  Baby KJ gets a custom CRISPR edit to his genome Kiran Musunuru, a researcher at the University of…

  • Trump’s drug-pricing plan and a potential Theranos 2.0

    Trump’s drug-pricing plan and a potential Theranos 2.0 How likely is it for President Trump’s new drug-pricing plan to be implemented? Why have investors seemed unbothered by the proposal? And will we see a return of Elizabeth Holmes’ blood-testing ambitions? We discuss all that and more on this week’s episode of “The Readout LOUD,” STAT’s…

  • ‘What wouldn’t I be worried about?’: Research leaders discuss threats to U.S. science

    ‘What wouldn’t I be worried about?’: Research leaders discuss threats to U.S. science Attacks on efforts to diversify the sciences. Research grant terminations. Fear among scientists to speak out against the government. Cuts to international aid.  These were some of a long list of concerns shared by three research leaders as they discussed the state…

  • CoreWeave Revenue Soars on AI Demand, But Heavy Spending Hits Profit

    CoreWeave Revenue Soars on AI Demand, But Heavy Spending Hits Profit CoreWeave’s Q1 revenue surged fivefold to $981M, but widening losses and $23B in projected spending raise concerns over profitability. Vince Dioquino Go to decrypt.co

  • Mastercard to Roll Out New Stablecoin Cards in Latest Crypto Push With MoonPay

    Mastercard to Roll Out New Stablecoin Cards in Latest Crypto Push With MoonPay MoonPay has tapped Mastercard to launch global stablecoin card services, expanding the card giant’s crypto push amid competition with Visa. Callan Quinn Go to decrypt.co

  • Nebraska Lawmakers Approve Crypto Mining Limits in Final Reading

    Nebraska Lawmakers Approve Crypto Mining Limits in Final Reading If signed by the Governor, Nebraska’s bill would take effect this October, regulating crypto miners using over 1 MW of electricity. Vismaya V Go to decrypt.co

  • Ethereum Foundation Launches ‘Trillion Dollar Security Initiative’ to Fortify Network

    Ethereum Foundation Launches ‘Trillion Dollar Security Initiative’ to Fortify Network The Ethereum Foundation has launched a three-phase initiative to strengthen network security and support broader onchain adoption. Vince Dioquino Go to decrypt.co

  • What’s Up Grok? AI Under Fire for Injecting ‘White Genocide’ Claims Into Unrelated Replies

    What’s Up Grok? AI Under Fire for Injecting ‘White Genocide’ Claims Into Unrelated Replies Elon Musk’s AI chatbot Grok is inserting off-topic “white genocide” claims into user queries, sparking backlash among users. Jason Nelson Go to decrypt.co

  • Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features

    Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features arXiv:2505.09004v1 Announce Type: new Abstract: We propose an adversarial evaluation framework for sensitive feature inference based on minimum mean-squared error (MMSE) estimation with a finite sample size and linear predictive models. Our approach establishes theoretical lower bounds on the true MMSE of inferring sensitive features…

  • Risk Bounds For Distributional Regression

    Risk Bounds For Distributional Regression arXiv:2505.09075v1 Announce Type: new Abstract: This work examines risk bounds for nonparametric distributional regression estimators. For convex-constrained distributional regression, general upper bounds are established for the continuous ranked probability score (CRPS) and the worst-case mean squared error (MSE) across the domain. These theoretical results are applied to isotonic and trend…

  • Online Learning of Neural Networks

    Online Learning of Neural Networks arXiv:2505.09167v1 Announce Type: new Abstract: We study online learning of feedforward neural networks with the sign activation function that implement functions from the unit ball in $mathbb{R}^d$ to a finite label set ${1, ldots, Y}$. First, we characterize a margin condition that is sufficient and in some cases necessary for…

  • Optimal Transport-Based Domain Adaptation for Rotated Linear Regression

    Optimal Transport-Based Domain Adaptation for Rotated Linear Regression arXiv:2505.09229v1 Announce Type: new Abstract: Optimal Transport (OT) has proven effective for domain adaptation (DA) by aligning distributions across domains with differing statistical properties. Building on the approach of Courty et al. (2016), who mapped source data to the target domain for improved model transfer, we focus…

  • Fairness-aware Bayes optimal functional classification

    Fairness-aware Bayes optimal functional classification arXiv:2505.09471v1 Announce Type: new Abstract: Algorithmic fairness has become a central topic in machine learning, and mitigating disparities across different subpopulations has emerged as a rapidly growing research area. In this paper, we systematically study the classification of functional data under fairness constraints, ensuring the disparity level of the classifier…

  • Boost 2-Bit LLM Accuracy with EoRA

    Boost 2-Bit LLM Accuracy with EoRA Quantization is one of the key techniques for reducing the memory footprint of large language models (LLMs). It works by converting the data type of model parameters from higher-precision formats such as 32-bit floating point (FP32) or 16-bit floating point (FP16/BF16) to lower-precision integer formats, typically INT8 or INT4.…

  • The Geospatial Capabilities of Microsoft Fabric and ESRI GeoAnalytics, Demonstrated

    The Geospatial Capabilities of Microsoft Fabric and ESRI GeoAnalytics, Demonstrated The saying goes that 80% of data collected, stored and maintained by governments can be associated with geographical locations. Although never empirically proven, it illustrates the importance of location within data. Ever growing data volumes put constraints on systems that handle geospatial data. Common Big…

  • Strength in Numbers: Ensembling Models with Bagging and Boosting

    Strength in Numbers: Ensembling Models with Bagging and Boosting Bagging and boosting are two powerful ensemble techniques in machine learning – they are must-knows for data scientists! After reading this article, you are going to have a solid understanding of how bagging and boosting work and when to use them. We’ll cover the following topics,…

  • Efficient Graph Storage for Entity Resolution Using Clique-Based Compression

    Efficient Graph Storage for Entity Resolution Using Clique-Based Compression In the world of entity resolution (ER), one of the central challenges is managing and maintaining the complex relationships between records. At its core, Tilores models entities as graphs: each node represents a record, and edges represent rule-based matches between those records. This approach gives us…

  • Parquet File Format – Everything You Need to Know!

    Parquet File Format – Everything You Need to Know! With the amount of Data growing exponentially in the last few years, one of the biggest challenges has become finding the most optimal way to store various data flavors. Unlike in the (not so far) past, when relational databases were considered the only way to go,…

  • Gain insights with Enhanced Monitoring in Amazon RDS

    Gain insights with Enhanced Monitoring in Amazon RDS RDS Enhanced Monitoring provides teams with additional data visibility to improve database scalability, performance, availability and cost optimizations. Go to techtarget

  • 4 types of simulation models used in data analytics

    4 types of simulation models used in data analytics Combining different types of simulation models with predictive analytics enables organizations to forecast events and improve the accuracy of data-driven decisions. Go to techtarget

  • Alteryx One launch aims to unify, simplify vendor’s platform

    Alteryx One launch aims to unify, simplify vendor’s platform The updated version of the data integration vendor’s platform aims to make it easier to prepare data for AI and analytics, while new GenAI tools further simplify data preparation. Go to techtarget

  • Databricks adds Postgres database with $1B Neon acquisition

    Databricks adds Postgres database with $1B Neon acquisition The vendor’s latest purchase comes six months after it raised $10B in funding. By adding PostgreSQL database capabilities, it aims to better enable users to build AI applications. Go to techtarget

  • Boomi launches agentic AI development tools, support for MCP

    Boomi launches agentic AI development tools, support for MCP The longtime iPaaS vendor continues to expand beyond its historical base with the additions of Agentstudio, agents that simplify integration and change data capture capabilities. Go to techtarget

  • Qlik unveils agentic AI capabilities, launches lakehouse

    Qlik unveils agentic AI capabilities, launches lakehouse An insight generation tool and capabilities that unlock unstructured data are among the longtime analytics vendor’s latest features, while a data lakehouse represents expansion. Go to techtarget

  • BitLyft AIR Integrates with Graylog to Boost Cloud Identity Security with No-Code Response

    BitLyft AIR Integrates with Graylog to Boost Cloud Identity Security with No-Code Response BitLyft, a leading managed detection and response provider (MDR), is offering a powerful new integration between BitLyft AIR and Graylog to deliver unprecedented visibility and automated response capabilities within an existing Security Information and Event Management (SIEM) environment. Go to dbta

  • Examining the Data of Today, Tomorrow, and Beyond: Opening Keynotes at Data Summit 2025

    Examining the Data of Today, Tomorrow, and Beyond: Opening Keynotes at Data Summit 2025 At Data Summit’s opening keynotes, John Lewis, CKO, Explanation Age LLC, Shiva Pullepu, vice president, AI and industry solutions, CrateDB, and Sami Akbay, VP, product management, insightsoftware, each examined the many new paradigms shaping the world of data, from data storytelling…

  • The Machinations of Data Observability at Data Summit 2025

    The Machinations of Data Observability at Data Summit 2025 Nilanjan Chatterjee, senior staff data architect, AMD, led the Data Summit session,? “Becoming an Insights-Driven Enterprise,” guiding attendees through the ways that data observability can be effectively harnessed to power the highest standards of business data, for AI use cases and beyond.? Go to dbta

  • The Dark Side of AI: Bias and Fairness at Data Summit 2025

    The Dark Side of AI: Bias and Fairness at Data Summit 2025 Parul Gupta, software engineer, led the Data Summit session, “Realizing the Promise of Machine Learning,” taking a look at the nuances of AI fairness and bias, and how constraints will play a major role in developing ethical AI systems.? Go to dbta

  • Navigating Data and AI-Readiness at Data Summit 2025

    Navigating Data and AI-Readiness at Data Summit 2025 Bharath Vasudevan, VP of product, Quest Software, led the Data Summit session, “Getting Your Data AI-Ready,” to explore the ways in which organizations can build resilient data strategies that improve data quality, visibility, and trust while reducing development time, enhancing decision making, and fostering collaboration. Go to…

  • Scalable, low-maintenance design recycles heat for a steady supply of drinking water off-grid

    Scalable, low-maintenance design recycles heat for a steady supply of drinking water off-grid Fresh drinking water is a vital yet limited resource that will only grow scarcer over the next few years, according to the World Resources Institute. Desalination, the process of removing salt from water, is an established method used to increase the fresh…

  • Energy and memory: A new neural network paradigm

    Energy and memory: A new neural network paradigm Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations—it’s a triumph of your associative memory, in which one piece of information (the first few notes) triggers the memory of the entire pattern (the song), without you actually…

  • Ransomware attacks drive majority of US health data breaches, analysis shows

    Ransomware attacks drive majority of US health data breaches, analysis shows A new study led by researchers from Michigan State University, Yale University and Johns Hopkins University reveals that ransomware attacks—which involve a hacker putting encryption controls into a file and then demanding a ransom to unlock the files—have become the primary driver of health…

  • Groups of AI agents spontaneously form their own social norms without human help, study suggests

    Groups of AI agents spontaneously form their own social norms without human help, study suggests A new study suggests that populations of artificial intelligence (AI) agents, similar to ChatGPT, can spontaneously develop shared social conventions through interaction alone. Go to techxplore

  • Handy octopus robot can adapt to its surroundings

    Handy octopus robot can adapt to its surroundings Scientists inspired by the octopus’s nervous system have developed a robot that can decide how to move or grip objects by sensing its environment. Go to techxplore

  • AI agents with customisable human‍-‍AI interaction for transparent decisions

    AI agents with customisable human‍-‍AI interaction for transparent decisions Imagine a future where AI systems render decisions and take action with little to no human intervention. With the rapid advance of AI agents, that future is nearly here. That’s why SAS is building the agentic AI future on its bedrock of responsible innovation. SAS® Intelligent…

  • STAT+: In combative hearings, Kennedy defends HHS cuts, backtracks — and lashes out

    STAT+: In combative hearings, Kennedy defends HHS cuts, backtracks — and lashes out WASHINGTON — In hours of combative congressional hearings Wednesday, health secretary Robert F. Kennedy Jr. swung between defending sweeping changes at his agency and backtracking on aspects of a reorganization he nevertheless said would be “painful.” He repeatedly cast doubts on reports about…

  • STAT+: Day 1 at ASGCT: Missing scientists, a gene editing failure, and a gene editing first

    STAT+: Day 1 at ASGCT: Missing scientists, a gene editing failure, and a gene editing first NEW ORLEANS — The mood at the annual meeting of the American Society of Cell and Gene Therapy isn’t amazing. The biotech market has been bad for years. The FDA and NIH are shrouded in uncertainty. But many researchers…

  • Prenatal genetic therapy for SMA shows promise in a mouse study

    Prenatal genetic therapy for SMA shows promise in a mouse study Researchers have taken preliminary steps toward treating a devastating neurodevelopmental disorder, spinal muscular atrophy, with a genetic therapy delivered in the womb, before the worst damage to motor neurons can occur.  The scientists at the University of California, San Francisco, and Johns Hopkins University…

  • STAT+: Eli Lilly and AstraZeneca top a consultancy’s ranking of drug company R&D

    STAT+: Eli Lilly and AstraZeneca top a consultancy’s ranking of drug company R&D A consultancy’s new ranking of drug company R&D shows Eli Lilly has risen to the top of the drug development heap — but when it comes to invention, AstraZeneca, with its wealth of experimental cancer and rare disease therapies, ranks above its…

  • Former FDA head Robert Califf says RFK Jr.’s vaccine rhetoric is ‘doing harm’ to Americans

    Former FDA head Robert Califf says RFK Jr.’s vaccine rhetoric is ‘doing harm’ to Americans SAN FRANCISCO — Former Food and Drug Administration Commissioner Robert Califf said health secretary Robert F. Kennedy Jr.’s hesitance to endorse vaccines is harming the American public.  “Fundamental vaccination saves millions of lives every year already, and he’s busy eroding public…

  • FalconX Taps Standard Chartered in Institutional Crypto Investor Tie-Up

    FalconX Taps Standard Chartered in Institutional Crypto Investor Tie-Up The move aims to take advantage of growing international appetite for digital assets as global banks expand crypto services. Callan Quinn Go to decrypt.co

  • Senators Urge Treasury to Rethink Tax on Unrealized Crypto Gains

    Senators Urge Treasury to Rethink Tax on Unrealized Crypto Gains The Senators said the tax rule would leave U.S. firms at a disadvantage to foreign competitors and urged Treasury to “act swiftly.” Vismaya V Go to decrypt.co

  • Paris Kidnapping Attempt Highlights Growing Threat to Crypto Figures

    Paris Kidnapping Attempt Highlights Growing Threat to Crypto Figures The daughter and grandson of a French crypto exchange co-founder have narrowly escaped armed abduction in Paris. Callan Quinn Go to decrypt.co

  • Solana Isn’t Just a Crypto—It’s Now a Trending Baby Name in 2025

    Solana Isn’t Just a Crypto—It’s Now a Trending Baby Name in 2025 Rooted in warmth and sunshine, boosted by pop culture, the name Solana is now one of America’s most popular baby names. Vince Dioquino Go to decrypt.co

  • Bitcoin Investment Case Holds as US 10-Year Yields Revisit April Highs

    Bitcoin Investment Case Holds as US 10-Year Yields Revisit April Highs Yields on the 10-year are rising amid renewed risk sentiment from U.S.-China tariff relief, testing crypto’s resilience as narratives shift. Sebastian Sinclair Go to decrypt.co

  • Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions

    Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions arXiv:2505.07825v1 Announce Type: new Abstract: We propose a hybrid generative model for efficient sampling of high-dimensional, multimodal probability distributions for Bayesian inference. Traditional Monte Carlo methods, such as the Metropolis-Hastings and Langevin Monte Carlo sampling methods, are effective for sampling from single-mode distributions…

  • Wasserstein Distributionally Robust Nonparametric Regression

    Wasserstein Distributionally Robust Nonparametric Regression arXiv:2505.07967v1 Announce Type: new Abstract: Distributionally robust optimization has become a powerful tool for prediction and decision-making under model uncertainty. By focusing on the local worst-case risk, it enhances robustness by identifying the most unfavorable distribution within a predefined ambiguity set. While extensive research has been conducted in parametric settings,…

  • Sharp Gaussian approximations for Decentralized Federated Learning

    Sharp Gaussian approximations for Decentralized Federated Learning arXiv:2505.08125v1 Announce Type: new Abstract: Federated Learning has gained traction in privacy-sensitive collaborative environments, with local SGD emerging as a key optimization method in decentralized settings. While its convergence properties are well-studied, asymptotic statistical guarantees beyond convergence remain limited. In this paper, we present two generalized Gaussian approximation…

  • SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation

    SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation arXiv:2505.08198v1 Announce Type: new Abstract: Explainable artificial intelligence (XAI) is essential for trustworthy machine learning (ML), particularly in high-stakes domains such as healthcare and finance. Shapley value (SV) methods provide a principled framework for feature attribution in complex models but incur high computational costs,…

  • Lie Group Symmetry Discovery and Enforcement Using Vector Fields

    Lie Group Symmetry Discovery and Enforcement Using Vector Fields arXiv:2505.08219v1 Announce Type: new Abstract: Symmetry-informed machine learning can exhibit advantages over machine learning which fails to account for symmetry. Additionally, recent attention has been given to continuous symmetry discovery using vector fields which serve as infinitesimal generators for Lie group symmetries. In this paper, we…

  • Survival Analysis When No One Dies: A Value-Based Approach

    Survival Analysis When No One Dies: A Value-Based Approach Survival Analysis is a statistical approach used to answer the question: “How long will something last?” That “something” could range from a patient’s lifespan to the durability of a machine component or the duration of a user’s subscription. One of the most widely used tools in…

  • Get Started with Rust: Installation and Your First CLI Tool – A Beginner’s Guide

    Get Started with Rust: Installation and Your First CLI Tool – A Beginner’s Guide Rust has become a popular programming language in recent years as it combines security and high performance and can be used in many applications. It combines the positive characteristics of C and C++ with the modern syntax and simplicity of other…

  • Non-Parametric Density Estimation: Theory and Applications

    Non-Parametric Density Estimation: Theory and Applications In this article, we’ll talk about what Density Estimation is and the role it plays in statistical analysis. We’ll analyze two popular density estimation methods, histograms and kernel density estimators, and analyze their theoretical properties as well as how they perform in practice. Finally, we’ll look at how density…

  • Rethinking the Environmental Costs of Training AI — Why We Should Look Beyond Hardware

    Rethinking the Environmental Costs of Training AI — Why We Should Look Beyond Hardware Summary of This Study Hardware choices – specifically hardware type and its quantity – along with training time, have a significant positive impact on energy, water, and carbon footprints during AI model training, whereas architecture-related factors do not. The interaction between…

  • TDS Authors Can Now Receive Payments Via Stripe

    TDS Authors Can Now Receive Payments Via Stripe We launched the TDS Author Payment Program back in February, and have since announced a major update—with a far more inclusive earning tier—just last month. Today we’re happy to share that the Program, which has already seen dozens of authors receive their first payout, is now a…

  • IoT Fleet Management – Navigating the World of Connected Devices at Scale

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