不知道 不明了 不想要
-
Generate-then-Verify: Reconstructing Data from Limited Published Statistics
Generate-then-Verify: Reconstructing Data from Limited Published Statistics arXiv:2504.21199v1 Announce Type: new Abstract: We study the problem of reconstructing tabular data from aggregate statistics, in which the attacker aims to identify interesting claims about the sensitive data that can be verified with 100% certainty given the aggregates. Successful attempts in prior work have conducted studies in…
-
Kernel Density Machines
Kernel Density Machines arXiv:2504.21419v1 Announce Type: new Abstract: We introduce kernel density machines (KDM), a novel density ratio estimator in a reproducing kernel Hilbert space setting. KDM applies to general probability measures on countably generated measurable spaces without restrictive assumptions on continuity, or the existence of a Lebesgue density. For computational efficiency, we incorporate a…
-
Wasserstein-Aitchison GAN for angular measures of multivariate extremes
Wasserstein-Aitchison GAN for angular measures of multivariate extremes arXiv:2504.21438v1 Announce Type: new Abstract: Economically responsible mitigation of multivariate extreme risks — extreme rainfall in a large area, huge variations of many stock prices, widespread breakdowns in transportation systems — requires estimates of the probabilities that such risks will materialize in the future. This paper develops…
-
A comparison of generative deep learning methods for multivariate angular simulation
A comparison of generative deep learning methods for multivariate angular simulation arXiv:2504.21505v1 Announce Type: new Abstract: With the recent development of new geometric and angular-radial frameworks for multivariate extremes, reliably simulating from angular variables in moderate-to-high dimensions is of increasing importance. Empirical approaches have the benefit of simplicity, and work reasonably well in low dimensions,…
-
Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model
Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model arXiv:2504.21795v1 Announce Type: new Abstract: The Hawkes process (HP) is commonly used to model event sequences with self-reinforcing dynamics, including electronic health records (EHRs). Traditional HPs capture self-reinforcement via parametric impact functions that can be inspected to understand how each…
-
How Would I Learn to Code with ChatGPT if I Had to Start Again
How Would I Learn to Code with ChatGPT if I Had to Start Again Coding has been a part of my life since I was 10. From modifying HTML & CSS for my Friendster profile during the simple internet days to exploring SQL injections for the thrill, building a three-legged robot for fun, and lately…
-
Modern GUI Applications for Computer Vision in Python
Modern GUI Applications for Computer Vision in Python Introduction I’m a huge fan of interactive visualizations. As a computer vision engineer, I deal almost daily with image processing related tasks and more often than not I am iterating on a problem where I need visual feedback to make decisions. Let’s think of a very simple image…
-
Why Are Convolutional Neural Networks Great For Images?
Why Are Convolutional Neural Networks Great For Images? The Universal Approximation Theorem states that a neural network with a single hidden layer and a nonlinear activation function can approximate any continuous function. Practical issues aside, such that the number of neurons in this hidden layer would grow enormously large, we do not need other network architectures. A simple…
-
Beyond Glorified Curve Fitting: Exploring the Probabilistic Foundations of Machine Learning
Beyond Glorified Curve Fitting: Exploring the Probabilistic Foundations of Machine Learning You see a math formula you don’t immediately understand. Your instinct? Stop reading. Don’t. That’s exactly what I told myself when I started reading Probabilistic Machine Learning – An Introduction by Kevin P. Murphy. And it was absolutely worth it. It changed how I…
-
Reinforcement Learning from One Example?
Reinforcement Learning from One Example? Prompt engineering alone won’t get us to production. Fine-tuning is expensive. And reinforcement learning? That’s been reserved for well-funded labs with massive datasets until now. New research from Microsoft and academic collaborators has overturned that assumption. Using Reinforcement Learning with Verifiable Rewards (RLVR) and just a single training example, researchers…
-
StarTree aims to simplify AI development with new features
StarTree aims to simplify AI development with new features The database vendor plans to add support for Model Context Protocol and automated vector embedding capabilities to make it faster and easier to benefit from agentic AI. Go to techtarget
-
Fiveonefour Unveils Aurora AI Agents to Automate Data Engineering
Fiveonefour Unveils Aurora AI Agents to Automate Data Engineering Fiveonefour, a leader in data engineering solutions, is introducing Aurora, a suite of AI agents that automate engineering workflows that enable teams to rapidly productize and operationalize proprietary data. According to the company, Aurora is addressing the industry challenge of developing data-intensive applications swiftly and cost-effectively…
-
A Deep Dive into the Future of Data and AI in Financial Services with OpenText
A Deep Dive into the Future of Data and AI in Financial Services with OpenText Featuring the expertise of OpenText thought leaders, DBTA’s webinar, The Future of Data, Analytics and AI Services in the Financial Services Industry, offered a wide array of considerations and strategies for adapting to the next evolution of financial services, aiming…
-
Algorithms provide optimized radiation-shielding design solutions for new types of nuclear reactors
Algorithms provide optimized radiation-shielding design solutions for new types of nuclear reactors The research team (NEAL) from the University of South China has made significant progress in nuclear reactor radiation-shielding design. The team has developed a radiation-shielding optimization method (RP-NSGA and RP-MOABC) based on a reference-point-selection strategy, which efficiently solves many-objective optimization problems in radiation-shielding…
-
Deafblind people to understand live conversations thanks to e-textiles technology
Deafblind people to understand live conversations thanks to e-textiles technology Thousands of people who are born deafblind will understand live conversations for the first time thanks to new research into smart textiles being developed by Nottingham Trent University (NTU). Go to techxplore
-
Prevention instead of reaction: Intelligent, networked systems for structural monitoring
Prevention instead of reaction: Intelligent, networked systems for structural monitoring The safety and durability of transport and building infrastructure are in the interests of both operators and users. To maintain the best possible building condition at the lowest possible cost, effective monitoring is required to improve condition assessment. Go to techxplore
-
Visa wants to give artificial intelligence ‘agents’ your credit card
Visa wants to give artificial intelligence ‘agents’ your credit card Artificial intelligence “agents” are supposed to be more than chatbots. The tech industry has spent months pitching AI personal assistants that know what you want and can do real work on your behalf. Go to techxplore
-
Rapid lithium extraction eliminates use of acid and high heat, scientists report
Rapid lithium extraction eliminates use of acid and high heat, scientists report Lightweight lithium metal is a heavy-hitting critical mineral, serving as the key ingredient in the rechargeable batteries that power phones, laptops, electric vehicles and more. As ubiquitous as lithium is in modern technology, extracting the metal is complex and expensive. A new method,…
-
How organisations can manage cloud spend as AI drives costs up
How organisations can manage cloud spend as AI drives costs up Australia is hitting a new wave of accelerated cloud adoption as businesses embrace AI en masse. This is leading to a flurry of investment. In fact, Australian cloud and IT infrastructure leaders anticipate the rise of AI will lead to a 15% increase in…
-
NIH cancels participation in Safe to Sleep campaign that decreased infant deaths
NIH cancels participation in Safe to Sleep campaign that decreased infant deaths WASHINGTON — The Trump administration has cancelled federal participation in Safe to Sleep, a 30-year campaign to prevent babies from dying in their sleep, STAT and the Medill News Service have learned. The elimination of the National Institutes of Health’s role in the…
-
STAT+: Lack of access to antibiotics for drug-resistant infections often blamed on poor care, study says
STAT+: Lack of access to antibiotics for drug-resistant infections often blamed on poor care, study says Only 6.9% of people with drug-resistant infections in eight large, low- and middle-income countries received an appropriate antibiotic in 2019 and the lack of access was largely attributed to insufficient care, according to a new analysis. The researchers examined…
-
STAT+: Doctors didn’t catch AI’s mistakes. What does that mean for human-in-the-loop?
STAT+: Doctors didn’t catch AI’s mistakes. What does that mean for human-in-the-loop? You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every Wednesday. The entire time I’ve covered AI in health care, companies developing and selling…
-
STAT+: Collins and fellow GOP senators speak out in opposition to Trump’s cuts to biomedical research
STAT+: Collins and fellow GOP senators speak out in opposition to Trump’s cuts to biomedical research WASHINGTON — There was broad bipartisan support at a Senate hearing Wednesday to reverse course on the Trump administration’s cuts to federally funded biomedical research. Sen. Susan Collins (Maine), the Republican chair of the Senate Appropriations Committee, kicked off…
-
STAT+: Pharmalittle: We’re reading about Makary rejecting a reorganization, pharma lobbying against PBMs, and more
STAT+: Pharmalittle: We’re reading about Makary rejecting a reorganization, pharma lobbying against PBMs, and more Hello, everyone, and how are you today? We are doing just fine, thank you, especially since the middle of the week is upon us. After all, we have made it this far so we are determined to hang on for…
-
OpenAI Rolls Back ChatGPT Update After User Pushback Over ‘Sycophantic’ Behavior
OpenAI Rolls Back ChatGPT Update After User Pushback Over ‘Sycophantic’ Behavior The decision follows days of backlash on Reddit, X, and elsewhere, where users had labeled ChatGPT’s tone as disingenuous and manipulative. Vismaya V Go to decrypt.co
-
Telegram Debt Goes DeFi in $500 Million On-Chain Fund Launch on TON
Telegram Debt Goes DeFi in $500 Million On-Chain Fund Launch on TON Libre and TON have launched a $500M tokenized fund for Telegram bonds, giving institutions access to $2.4 billion in debt. Vismaya V Go to decrypt.co
-
Ethereum Rollup Scroll Now Lets Users Exit Independently, Becoming ‘First’ to Hit Decentralization Milestone
Ethereum Rollup Scroll Now Lets Users Exit Independently, Becoming ‘First’ to Hit Decentralization Milestone Having reached “Stage 1” decentralization status, the scaling solution has become fairer and safer for users, Scroll claims. Vince Dioquino Go to decrypt.co
-
Trump’s $1B Dubai Tower Project to Accept Crypto Payments for Luxury Apartments
Trump’s $1B Dubai Tower Project to Accept Crypto Payments for Luxury Apartments The Trump family continues to lean into crypto, expanding its global footprint with advisory roles, digital asset endorsements, and payments. Callan Quinn Go to decrypt.co
-
Bank of Italy Warns of Systemic Crypto Risks, Concentration of Power Under Trump
Bank of Italy Warns of Systemic Crypto Risks, Concentration of Power Under Trump The Bank of Italy has cautioned against crypto’s growing systemic threat and the Trump administration’s cozy relationship with the sector. Callan Quinn Go to decrypt.co
-
Coreset selection for the Sinkhorn divergence and generic smooth divergences
Coreset selection for the Sinkhorn divergence and generic smooth divergences arXiv:2504.20194v1 Announce Type: new Abstract: We introduce CO2, an efficient algorithm to produce convexly-weighted coresets with respect to generic smooth divergences. By employing a functional Taylor expansion, we show a local equivalence between sufficiently regular losses and their second order approximations, reducing the coreset selection…
-
Sobolev norm inconsistency of kernel interpolation
Sobolev norm inconsistency of kernel interpolation arXiv:2504.20617v1 Announce Type: new Abstract: We study the consistency of minimum-norm interpolation in reproducing kernel Hilbert spaces corresponding to bounded kernels. Our main result give lower bounds for the generalization error of the kernel interpolation measured in a continuous scale of norms that interpolate between $L^2$ and the hypothesis…
-
Learning and Generalization with Mixture Data
Learning and Generalization with Mixture Data arXiv:2504.20651v1 Announce Type: new Abstract: In many, if not most, machine learning applications the training data is naturally heterogeneous (e.g. federated learning, adversarial attacks and domain adaptation in neural net training). Data heterogeneity is identified as one of the major challenges in modern day large-scale learning. A classical way…
-
Preference-centric Bandits: Optimality of Mixtures and Regret-efficient Algorithms
Preference-centric Bandits: Optimality of Mixtures and Regret-efficient Algorithms arXiv:2504.20877v1 Announce Type: new Abstract: The objective of canonical multi-armed bandits is to identify and repeatedly select an arm with the largest reward, often in the form of the expected value of the arm’s probability distribution. Such a utilitarian perspective and focus on the probability models’ first…
-
Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics
Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics arXiv:2504.20099v1 Announce Type: cross Abstract: The present study explores the interpretability of latent spaces produced by time series foundation models, focusing on their potential for visual analysis tasks. Specifically, we evaluate the MOMENT family of models, a set of transformer-based, pre-trained…
-
From FOMO to Opportunity: Analytical AI in the Era of LLM Agents
From FOMO to Opportunity: Analytical AI in the Era of LLM Agents Are you feeling “fear of missing out” (FOMO) when it comes to LLM agents? Well, that was the case for me for quite a while. In recent months, it feels like my online feeds have been completely bombarded by “LLM Agents”: every other…
-
Data Analyst or Data Engineer or Analytics Engineer or BI Engineer ?
Data Analyst or Data Engineer or Analytics Engineer or BI Engineer ? If you’ve followed me for a while, you probably know I started my career as a QA engineer before transitioning into the world of data analytics. I didn’t go to school for it, didn’t have a mentor, and didn’t land in a formal training…
-
Building a Scalable and Accurate Audio Interview Transcription Pipeline with Google Gemini
Building a Scalable and Accurate Audio Interview Transcription Pipeline with Google Gemini This article is co-authored by Ugo Pradère and David Haüet How hard can it be to transcribe an interview? You feed the audio to an AI model, wait a few minutes, and boom: perfect transcript, right? Well… not quite. When it comes to…
-
How to Level Up Your Technical Skills in This AI Era
How to Level Up Your Technical Skills in This AI Era AI-assisted coding is here to stay. Tools like Cursor, V0, and Lovable have dramatically lowered the barrier to entry — building dashboards, pipelines, or entire apps can now be done in a fraction of the time. I use these tools daily, and they’ve definitely made me…
-
AI Agents for a More Sustainable World
AI Agents for a More Sustainable World As political support for sustainability weakens, the need for long-term sustainable practices has never been more critical. How can we use analytics, boosted by agentic AI, to support companies in their green transformation? For years, the focus of my blog was always on using Supply Chain Analytics methodologies…
-
Acceldata launches agentic AI-powered anomaly detection
Acceldata launches agentic AI-powered anomaly detection The data observability specialist’s new feature uses agentic AI to ensure that the data used to inform analytics and AI tools is high quality and won’t lead to poor decisions. Go to techtarget
-
Lenses.io Introduces Lenses 6.0, Accelerating Application and System Development with Real-Time Data
Lenses.io Introduces Lenses 6.0, Accelerating Application and System Development with Real-Time Data Lenses.io, a data streaming innovation leader, is releasing Lenses 6.0 to empower organizations to modernize applications and systems with real-time data as AI adoption grows. Go to dbta
-
Acceldata?s Adaptive AI Anomaly Detection Supercharges Data Quality
Acceldata?s Adaptive AI Anomaly Detection Supercharges Data Quality Acceldata, a leading provider of data observability and agentic data management solutions, is announcing a new capability designed to amplify the power of agentic reasoning within the company’s xLake Reasoning Engine. This feature?Adaptive AI Anomaly Detection?automatically detects and identifies hidden, multi-dimensional data anomalies and patterns that a…
-
HPE Marries Multi-Layered and Zero-Trust Strategies for Seamless, Effective Cybersecurity
HPE Marries Multi-Layered and Zero-Trust Strategies for Seamless, Effective Cybersecurity Against a background of a rapidly evolving threat and regulatory landscape, Hewlett Packard Enterprise is making strides by announcing expansions to HPE Aruba Networking and HPE GreenLake cloud that help enterprises address cybersecurity risk and data protection simply and effectively. Go to dbta
-
New Capabilities from NetApp Infuse Robust Security at the Storage Layer
New Capabilities from NetApp Infuse Robust Security at the Storage Layer NetApp, the intelligent data infrastructure company, is unveiling new capabilities that allow enterprises to take a proactive approach to data security at the storage layer. Developed in response to the cycle of innovation for cyberthreats?as aggravated by AI and quantum computing?NetApp’s new capabilities augment…
-
Perfect is the enemy of good for distributed deep learning in the cloud
Perfect is the enemy of good for distributed deep learning in the cloud A new communication-collective system, OptiReduce, speeds up AI and machine learning training across multiple cloud servers by setting time boundaries rather than waiting for every server to catch up, according to a study led by a University of Michigan researcher. Go to…
-
Autonomous robot designed to simplify warehouse inventory tracking
Autonomous robot designed to simplify warehouse inventory tracking Tracking thousands of products in massive warehouses presents a logistical nightmare for many businesses. To address this, Kennesaw State University assistant professor Jian Zhang has introduced an autonomous robot that can log inventory. Go to techxplore
-
1200 V GaN switch enables bidirectional current flow with integrated free-wheeling diodes
1200 V GaN switch enables bidirectional current flow with integrated free-wheeling diodes Technological innovations in power electronics are not only essential for the success of the energy transition, they also provide sustainable support for economic development in Europe. The Fraunhofer Institute for Applied Solid State Physics IAF develops power electronic components based on the wide-bandgap…
-
Synchrotron in a closet: Bringing powerful 3D X-ray microscopy to smaller labs
Synchrotron in a closet: Bringing powerful 3D X-ray microscopy to smaller labs For the first time, researchers can study the microstructures inside metals, ceramics and rocks with X-rays in a standard laboratory without needing to travel to a particle accelerator, according to a study led by University of Michigan engineers. Go to techxplore
-
Pores for thought: Weighing the environmental costs of carbon capture materials
Pores for thought: Weighing the environmental costs of carbon capture materials A new life-cycle assessment comparing the production impacts of three materials used in carbon dioxide capture technology has highlighted the environmental trade-offs involved in using such materials. The research, published in the International Journal of Global Warming, analyzed the emissions associated with manufacturing, a…
-
CrowdStrike releases agentic AI for the SOC
CrowdStrike releases agentic AI for the SOC CrowdStrike has unveiled new AI-powered innovations aimed at revolutionising security operations centres (SOCs). During the RSA security conference in San Francisco recently, CrowdStrike unveiled Charlotte AI Agentic Response and Charlotte AI Agentic Workflows, a pair of solutions designed to support autonomous reasoning and actioning within SOCs. Charlotte AI…
-
Despite rising concerns, 95% of organisations lack a quantum computing roadmap: ISACA
Despite rising concerns, 95% of organisations lack a quantum computing roadmap: ISACA Despite mounting concern among 62% of technology and cybersecurity professionals that quantum computing could shatter current internet encryption, most organisations remain critically unprepared, according to new research from ISACA. A further 63% of tech professionals expect quantum computing to increase or shift cybersecurity risks,…
-
Nearly all ANZ enterprises embracing AI agents: report
Nearly all ANZ enterprises embracing AI agents: report Nearly all (97%) Australian and New Zealand enterprises are planning to expand their use of AI agents in the next 12 months, new research from Cloudera indicates. A survey into the use of agentic AI found that 91% of respondents from the two countries believe investing in…
-
STAT+: What was big at AACR? A drug, a diagnostic, and a dog. Oh and a vaccine, too.
STAT+: What was big at AACR? A drug, a diagnostic, and a dog. Oh and a vaccine, too. You’re reading the web edition of AACR in 30 Seconds, STAT’s guide to the American Association for Cancer Research annual meeting. We’d like to introduce you to the fellow above, whose name is Jae. When asked what…
-
STAT+: Supreme Court sides with HHS on formula used to pay hospitals for treating low-income patients
STAT+: Supreme Court sides with HHS on formula used to pay hospitals for treating low-income patients The Supreme Court on Tuesday rejected hospitals’ argument that the federal government doesn’t pay them enough for treating low-income patients. The seven-justice majority instead sided with the Department of Health and Human Services’ interpretation of the law concerning disproportionate…
-
STAT+: Sales of BridgeBio’s new heart drug blow past expectations
STAT+: Sales of BridgeBio’s new heart drug blow past expectations BridgeBio’s recently approved heart drug brought in $36.7 million in sales in the first quarter, blowing past expectations as the biotech continues to see a strong demand for its first major commercial product. Analysts had estimated that the treatment, called Attruby, would bring in sales…
-
STAT+: Gilead will pay $202 million to settle charges of paying kickbacks to docs for boosting HIV drug sales
STAT+: Gilead will pay $202 million to settle charges of paying kickbacks to docs for boosting HIV drug sales Gilead Sciences agreed to pay $202 million to settle allegations of paying kickbacks to doctors in exchange for prescribing several of its HIV medicines, the latest example of a controversial practice that has come back to…
-
STAT+: Despite Kennedy’s stated support, funding for Women’s Health Initiative remains in limbo
STAT+: Despite Kennedy’s stated support, funding for Women’s Health Initiative remains in limbo The word came down at 9 a.m. Pacific on April 14 that they were done. Marcia Stefanick of Stanford and three other leaders of regional centers that for decades have researched women’s health heard from their study’s national leaders that their funding…
-
South Korea’s Ruling Party Vows to Approve Spot Crypto ETFs, Scrap Key Banking Rule
South Korea’s Ruling Party Vows to Approve Spot Crypto ETFs, Scrap Key Banking Rule South Korea’s People Power Party has pledged crypto reforms, including ETF approval and banking rule repeal, ahead of the June election. Vismaya V Go to decrypt.co
-
OpenAI Rolls Out Upgrades for ChatGPT Search, Online Shopping
OpenAI Rolls Out Upgrades for ChatGPT Search, Online Shopping OpenAI has added shopping, trending search suggestions, and citation improvements to ChatGPT, bumping against Google’s ad-driven business. Vismaya V Go to decrypt.co
-
Arizona Lawmakers Approve Complementary Bitcoin, Crypto Bills
Arizona Lawmakers Approve Complementary Bitcoin, Crypto Bills If approved by the governor, Arizona could become the first state to solidify the regulation of crypto and digital assets on the frontier. Vince Dioquino Go to decrypt.co
-
Amazon Starts Deploying Satellites in Bid to Challenge Elon Musk’s Starlink
Amazon Starts Deploying Satellites in Bid to Challenge Elon Musk’s Starlink ULA has launched Amazon’s first Kuiper satellites, stepping up competition with SpaceX’s Starlink network. Jason Nelson Go to decrypt.co
-
FTX Estate Sues NFT Marketplace and AI Gaming Platform Over Token Agreements
FTX Estate Sues NFT Marketplace and AI Gaming Platform Over Token Agreements Collapsed crypto exchange FTX has stepped up its efforts to recover estate assets purchased through token agreements. Callan Quinn Go to decrypt.co
-
Statistical Inference for Clustering-based Anomaly Detection
Statistical Inference for Clustering-based Anomaly Detection arXiv:2504.18633v1 Announce Type: new Abstract: Unsupervised anomaly detection (AD) is a fundamental problem in machine learning and statistics. A popular approach to unsupervised AD is clustering-based detection. However, this method lacks the ability to guarantee the reliability of the detected anomalies. In this paper, we propose SI-CLAD (Statistical Inference…
-
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: $sqrt{T}$-Regret
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: $sqrt{T}$-Regret arXiv:2504.18657v1 Announce Type: new Abstract: Understanding how to efficiently learn while adhering to safety constraints is essential for using online reinforcement learning in practical applications. However, proving rigorous regret bounds for safety-constrained reinforcement learning is difficult due to the complex interaction between safety,…
-
Local Polynomial Lp-norm Regression
Local Polynomial Lp-norm Regression arXiv:2504.18695v1 Announce Type: new Abstract: The local least squares estimator for a regression curve cannot provide optimal results when non-Gaussian noise is present. Both theoretical and empirical evidence suggests that residuals often exhibit distributional properties different from those of a normal distribution, making it worthwhile to consider estimation based on other…
-
ReLU integral probability metric and its applications
ReLU integral probability metric and its applications arXiv:2504.18897v1 Announce Type: new Abstract: We propose a parametric integral probability metric (IPM) to measure the discrepancy between two probability measures. The proposed IPM leverages a specific parametric family of discriminators, such as single-node neural networks with ReLU activation, to effectively distinguish between distributions, making it applicable in…
-
If I Wanted to Become a Machine Learning Engineer, I’d Do This
If I Wanted to Become a Machine Learning Engineer, I’d Do This If I wanted to become a machine learning engineer again, this is the exact process I would follow. Let’s get into it! First become a data scientist or software engineer I’ve said it before, but a machine learning engineer is not exactly an entry-level position.…
-
How to Ensure Your AI Solution Does What You Expect iI to Do
How to Ensure Your AI Solution Does What You Expect iI to Do Generative AI (GenAI) is evolving fast — and it’s no longer just about fun chatbots or impressive image generation. 2025 is the year where the focus is on turning the AI hype into real value. Companies everywhere are looking into ways to…
-
Struggling to Land a Data Role in 2025? These 5 Tips Will Change That
Struggling to Land a Data Role in 2025? These 5 Tips Will Change That Breaking into the tech world is no longer as easy (or glamorous) as it used to be. Lots of people are finding it difficult to find their way into the current tech market. This can be due to lots of reasons…
-
NumExpr: The “Faster than Numpy” Library Most Data Scientists Have Never Used
NumExpr: The “Faster than Numpy” Library Most Data Scientists Have Never Used Browsing GitHub the other day, I came across a library I’d never heard of before. It was called NumExpr. I was immediately interested because of some claims made about the library. In particular, it stated that for some complex numerical calculations, it was…
-
When OpenAI Isn’t Always the Answer: Enterprise Risks Behind Wrapper-Based AI Agents
When OpenAI Isn’t Always the Answer: Enterprise Risks Behind Wrapper-Based AI Agents “Wait… are you sending journal entries to OpenAI?” That was the first thing my friend asked when I showed her Feel-Write, an AI-powered journaling app I built during a hackathon in San Francisco. I shrugged. “It was an AI-themed hackathon, I had to…
-
Datatonic Acquires Syntio to Expand its Data Engineering Skills
Datatonic Acquires Syntio to Expand its Data Engineering Skills Datatonic, a leading cloud data and AI solutions provider, is acquiring Syntio, a specialist in data engineering, to bolster Datatonic’s enterprise service offerings and global delivery capabilities with deep data engineering skills including data ingestion, data transformation, and business intelligence. Go to dbta
-
Forward Networks Boosts Network Digital Twin with Advanced Endpoint Collection
Forward Networks Boosts Network Digital Twin with Advanced Endpoint Collection Forward Networks, a leader in network digital twin technology, is introducing enhancements to its Forward Enterprise platform, adding endpoint discovery and collection capabilities. Go to dbta
-
Establishing Data Trust Amid Data Quality, Governance, and Management Evolutions
Establishing Data Trust Amid Data Quality, Governance, and Management Evolutions In Achieving Trusted Data: Data Quality, Data Governance and MDM Trends, one of DBTA’s latest webinars, data management experts examined the current best practices and key solutions for modernizing data management, as well as potential opportunities and present challenges?both amplified by advanced analytics and AI.…
-
Couchbase and Arize AI Partner to Optimize AI Agent Applications
Couchbase and Arize AI Partner to Optimize AI Agent Applications Couchbase and Arize AI are partnering to bring robust monitoring, evaluation, and optimization capabilities to AI-driven applications?delivering a powerful solution for building and monitoring Retrieval Augmented Generation (RAG) and agent applications at scale. Go to dbta
-
Smart surfaces could represent a powerless solution to multipath signal interference
Smart surfaces could represent a powerless solution to multipath signal interference The evolution of wireless communications and the miniaturization of electrical circuits have fundamentally reshaped our lives and the digital landscape. However, as we push toward higher-frequency communications in an increasingly connected world, engineers face growing challenges from multipath propagation—a phenomenon where the same radio…
-
Dual scalable annealing processors overcome capacity and precision limits
Dual scalable annealing processors overcome capacity and precision limits Combinatorial optimization problems (COPs) arise in various fields such as shift scheduling, traffic routing, and drug development. However, they are challenging to solve using traditional computers in a practical timeframe. Go to techxplore
-
All-organic solar cells achieve record efficiency by doubling previous performance
All-organic solar cells achieve record efficiency by doubling previous performance As global efforts to combat climate change continue, demand for solar energy is growing. However, since the current most-used silicon-based solar panels include a variety of hazardous substances, their disposal or recycling causes environmental impact and incurs substantial costs. Go to techxplore
-
Greener digital infrastructure: Study suggests how to make sustainable data centers in climate-vulnerable regions
Greener digital infrastructure: Study suggests how to make sustainable data centers in climate-vulnerable regions Durham University has contributed to new international research that critically assesses the intricate relationship between urban digitization and sustainability, focusing on the significant environmental impact of data centers. Go to techxplore
-
Breaking the spurious link: How causal models fix offline reinforcement learning’s generalization problem
Breaking the spurious link: How causal models fix offline reinforcement learning’s generalization problem Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning. This type of machine learning is essential for allowing systems to make decisions using only…
-
STAT+: HPV vaccine news ‘that will save millions of lives’ from cancer, and other AACR news
STAT+: HPV vaccine news ‘that will save millions of lives’ from cancer, and other AACR news You’re reading the web edition of AACR in 30 Seconds, STAT’s guide to the American Association for Cancer Research annual meeting. There’s one more day: sign up for email here. Despite the shadow cast over cancer research by recent…
-
U.S. government researchers present ‘phenomenal’ new data on HPV vaccines
U.S. government researchers present ‘phenomenal’ new data on HPV vaccines CHICAGO — A clinical trial run by the National Cancer Institute seems to confirm that a single dose of the vaccine used to prevent infection with the human papilloma virus is just as effective as two — and, therefore, also helps to prevent cancer. The result…
-
STAT+: Capricor Therapeutics forges ahead with FDA on Duchenne drug, despite political tumult
STAT+: Capricor Therapeutics forges ahead with FDA on Duchenne drug, despite political tumult The Food and Drug Administration is nearly halfway through a review of Capricor Therapeutics’ cell therapy for Duchenne muscular dystrophy. Even with the tumult inside the agency, interactions between the company and the agency staff have been unaffected, according to the company’s…
-
STAT+: Pharmalittle: We’re reading about tariffs increasing U.S. drug costs, Trump cuts on drug safety, and more
STAT+: Pharmalittle: We’re reading about tariffs increasing U.S. drug costs, Trump cuts on drug safety, and more Good morning, everyone, and welcome to another working week. We hope the weekend respite was relaxing and invigorating, because that oh-so-familiar routine of meetings, deadlines, and messages has returned. But what can you do? There is no pause…
-
Democratic Senators Demand Ethics Probe Over Trump Meme Coin Dinner
Democratic Senators Demand Ethics Probe Over Trump Meme Coin Dinner Warren and Schiff cite “pay to play” concerns after the Trump token surged following the promise of an exclusive dinner with the President. Vince Dioquino Go to decrypt.co
-
Major Supermarket Chain Spar to Launch Bitcoin Payments Across Switzerland
Major Supermarket Chain Spar to Launch Bitcoin Payments Across Switzerland Spar’s Bitcoin expansion marks one of Switzerland’s first major retail integrations of crypto payments, following trials in two locations. Vismaya V Go to decrypt.co
-
Nike Hit With $5 Million Lawsuit Over Alleged NFT Securities Violations
Nike Hit With $5 Million Lawsuit Over Alleged NFT Securities Violations Plaintiffs allege Nike executed a “soft rug pull,” leaving RTFKT NFT holders with worthless assets after winding down operations. Vismaya V Go to decrypt.co
-
Grayscale Still Tops All US Spot Bitcoin ETFs in Revenue
Grayscale Still Tops All US Spot Bitcoin ETFs in Revenue Despite heavy outflows since January 2024, GBTC’s 1.5% fee still generates $268 million a year, outpacing rivals’ combined $211 million. Vince Dioquino Go to decrypt.co
-
Bitget Takes Legal Action Over Alleged $20M Manipulation of Gaming Tokens
Bitget Takes Legal Action Over Alleged $20M Manipulation of Gaming Tokens Bitget has vowed to airdrop the recovered funds to users as questions swirl around the cause of the exploit. Callan Quinn Go to decrypt.co
-
Learning Enhanced Ensemble Filters
Learning Enhanced Ensemble Filters arXiv:2504.17836v1 Announce Type: new Abstract: The filtering distribution in hidden Markov models evolves according to the law of a mean-field model in state–observation space. The ensemble Kalman filter (EnKF) approximates this mean-field model with an ensemble of interacting particles, employing a Gaussian ansatz for the joint distribution of the state and…
-
Learning Operators by Regularized Stochastic Gradient Descent with Operator-valued Kernels
Learning Operators by Regularized Stochastic Gradient Descent with Operator-valued Kernels arXiv:2504.18184v1 Announce Type: new Abstract: This paper investigates regularized stochastic gradient descent (SGD) algorithms for estimating nonlinear operators from a Polish space to a separable Hilbert space. We assume that the regression operator lies in a vector-valued reproducing kernel Hilbert space induced by an operator-valued…
-
Post-Transfer Learning Statistical Inference in High-Dimensional Regression
Post-Transfer Learning Statistical Inference in High-Dimensional Regression arXiv:2504.18212v1 Announce Type: new Abstract: Transfer learning (TL) for high-dimensional regression (HDR) is an important problem in machine learning, particularly when dealing with limited sample size in the target task. However, there currently lacks a method to quantify the statistical significance of the relationship between features and the…
-
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior arXiv:2504.18455v1 Announce Type: new Abstract: We study the problem of distributed multi-view representation learning. In this problem, $K$ agents observe each one distinct, possibly statistically correlated, view and independently extracts from it a suitable representation in a manner that a…
-
Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests arXiv:2504.18498v1 Announce Type: new Abstract: Functional survival models are key tools for analyzing time-to-event data with complex predictors, such as functional or high-dimensional inputs. Despite their predictive strength, these models often lack interpretability, which limits their value in practical decision-making and risk analysis. This…
-
Weekly Entering & Transitioning – Thread 28 Apr, 2025 – 05 May, 2025
Weekly Entering & Transitioning – Thread 28 Apr, 2025 – 05 May, 2025 Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data science field. Topics include: Learning resources (e.g. books, tutorials, videos) Traditional education (e.g. schools, degrees, electives) Alternative education (e.g.…
-
Screens, drones, massages: Shanghai flaunts the future of cars
Screens, drones, massages: Shanghai flaunts the future of cars At the huge Auto Shanghai industry show this week, the chatter was less about powerful engines and more about cutting-edge technology and passenger comfort. Go to techxplore
-
Microrobots powered by thin-film actuator can morph, lock shapes and operate untethered
Microrobots powered by thin-film actuator can morph, lock shapes and operate untethered A team of roboticists at Tsinghua University, working with a trio of colleagues from Beihang University, all in China, has designed a new type of microrobot that can continuously transform its shape and “lock” into specific configurations. In their paper published in the…
-
STAT+: ‘Fight for your science’: Researchers urged to speak out at AACR
STAT+: ‘Fight for your science’: Researchers urged to speak out at AACR You’re reading the web edition of AACR in 30 Seconds, STAT’s guide to the American Association for Cancer Research annual meeting. Sign up for email here. AACR’s big annual meeting began as usual with its large opening ceremony, but AACR CEO Margaret Foti’s closing…