不知道 不明了 不想要
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Informatica?s Cloud Data Governance and Catalog Solution is Now Available on Google Cloud
Informatica?s Cloud Data Governance and Catalog Solution is Now Available on Google Cloud Informatica, a leader in enterprise AI-powered cloud data management, is expanding its partnership with Google Cloud through the availability of its Cloud Data Governance and Catalog (CDGC) on Google Cloud. Built on the foundation of Informatica’s AI-powered Intelligent Data Management Cloud (IDMC),…
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The Top Information Management Trends For 2025
The Top Information Management Trends For 2025 Throughout 2024, data managers and professionals were at the locus of the new waves of innovation driven by AI and analytics?and the activity was frenetic and intense. As the year 2025 progresses, this intense and frenetic activity will only continue. Cloud services, AI, AI agents, and cybersecurity are…
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What to Expect in AI Data Governance: 2025 Predictions
What to Expect in AI Data Governance: 2025 Predictions In 2025, preventing risks from both cybercriminals and AI use will be top mandates for most CIOs. Ransomware, in particular, continues to vex enterprises, and unstructured data is a vast, largely unprotected asset. AI solutions have moved from experimental to mainstream, with all the major tech…
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After 50 Years, What?s Next for SQL?
After 50 Years, What?s Next for SQL? Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first coined the Structured Query English Language in the mid-1970s. It’s survived and thrived through the dot-com era and the proliferation of…
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So Long, and Thanks for All the Tech
So Long, and Thanks for All the Tech After more than 2 decades of writing for DBTA, this will be my final column. It has been a privilege and a pleasure to engage with you on databases and emerging technologies. As with all good things, this journey must end, and I want to use this…
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Airbus boosts plane deliveries in 2024
Airbus boosts plane deliveries in 2024 European plane maker Airbus said Thursday it increased aircraft deliveries to 766 even as the company struggles to return to pre-pandemic production levels. Go to techxplore
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How secure is your Wi-Fi network? Research uncovers major vulnerability in wireless networking technology
How secure is your Wi-Fi network? Research uncovers major vulnerability in wireless networking technology We often take for granted just how ubiquitous Wi-Fi has become over the past two decades, explains Northeastern University electrical and computer engineering professor Francesco Restuccia, who is also a member of the Institute for the Wireless Internet of Things. Go…
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What influences trust when conversing with chatbots?
What influences trust when conversing with chatbots? Whether on your bank’s website or your telephone provider’s help line, interactions between humans and chatbots have become part of our daily lives. But do we trust them? And what factors influence our trust? Researchers at the University of Basel recently examined these questions. Go to techxplore
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Dialysis-inspired technique ‘astonishingly effective’ for treating wastewater
Dialysis-inspired technique ‘astonishingly effective’ for treating wastewater Researchers at Rice University, in collaboration with Guangdong University of Technology, have uncovered an innovative approach to treating high-salinity organic wastewaters—streams containing both elevated salt and organic concentrations—by employing dialysis, a technology borrowed from the medical field. Go to techxplore
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Enhanced tandem solar modules promise lower costs and higher efficiency
Enhanced tandem solar modules promise lower costs and higher efficiency Increasing module efficiency and expanding manufacturing capacity play complementary roles in reducing costs of metal halide perovskite/silicon tandem solar modules, according to researchers at the U.S. Department of Energy’s National Renewable Energy Laboratory (NREL). Each cost lever can play a similar role depending on a…
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Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity
Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity arXiv:2501.04134v1 Announce Type: new Abstract: We study the mixing time of the projected Langevin algorithm (LA) and the privacy curve of noisy Stochastic Gradient Descent (SGD), beyond nonexpansive iterations. Specifically, we derive new mixing time bounds for the projected LA…
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Generation from Noisy Examples
Generation from Noisy Examples arXiv:2501.04179v1 Announce Type: new Abstract: We continue to study the learning-theoretic foundations of generation by extending the results from Kleinberg and Mullainathan [2024] and Li et al. [2024] to account for noisy example streams. In the noiseless setting of Kleinberg and Mullainathan [2024] and Li et al. [2024], an adversary picks…
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Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks arXiv:2501.04234v1 Announce Type: new Abstract: Modern artificial intelligence is supported by machine learning models (e.g., foundation models) that are pretrained on a massive data corpus and then adapted to solve a variety of downstream tasks. To summarize performance across multiple tasks, evaluation metrics are…
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On weight and variance uncertainty in neural networks for regression tasks
On weight and variance uncertainty in neural networks for regression tasks arXiv:2501.04272v1 Announce Type: new Abstract: We consider the problem of weight uncertainty proposed by [Blundell et al. (2015). Weight uncertainty in neural network. In International conference on machine learning, 1613-1622, PMLR.] in neural networks {(NNs)} specialized for regression tasks. {We further} investigate the effect…
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Circuit Complexity Bounds for Visual Autoregressive Model
Circuit Complexity Bounds for Visual Autoregressive Model arXiv:2501.04299v1 Announce Type: new Abstract: Understanding the expressive ability of a specific model is essential for grasping its capacity limitations. Recently, several studies have established circuit complexity bounds for Transformer architecture. Besides, the Visual AutoRegressive (VAR) model has risen to be a prominent method in the field of…
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Missing Data in Time-Series? Machine Learning Techniques (Part 2)
Missing Data in Time-Series? Machine Learning Techniques (Part 2) Using Clustering Algorithms to Handle Missing Time-Series Data Continue reading on Towards Data Science » Sara Nóbrega Go to original source
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Advanced SQL Techniques for Unstructured Data Handling
Advanced SQL Techniques for Unstructured Data Handling Everything you need to know to get started with text mining Continue reading on Towards Data Science » Jiayan Yin Go to original source
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Bayesian A/B Testing Falls Short
Bayesian A/B Testing Falls Short Why Bayesian A/B testing can lead to misunderstandings, inflated false positive rates, introduce bias and complicate results (Image generated by the author using Midjourney) Over the past decade, I’ve engaged in countless discussions about Bayesian A/B testing versus Frequentist A/B testing. In nearly every conversation, I’ve maintained the same viewpoint:…
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Method of Moments Estimation with Python Code
Method of Moments Estimation with Python Code How to understand and implement the estimator from scratch Photo by Petr Macháček on Unsplash Let’s say you are in a customer care center, and you would like to know the probability distribution of the number of calls per minute, or in other words, you want to answer the question:…
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Statistical Learnability of Strategic Linear Classifiers: A Proof Walkthrough
Statistical Learnability of Strategic Linear Classifiers: A Proof Walkthrough With the help of an intricate geometric construction, we can prove that instance-wise cost functions quickly drive SVC to infinity. In the previous article in this series, we examined the concept of strategic VC dimension (SVC) and its connection to the Fundamental Theorem of Strategic Learning.…
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A buyer’s guide to SAP S/4HANA Cloud Public Edition
A buyer’s guide to SAP S/4HANA Cloud Public Edition Go to techtarget
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Headless CMS Contentstack acquires Lytics marketing CDP
Headless CMS Contentstack acquires Lytics marketing CDP Go to techtarget
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What are Google’s AI Overviews (formerly SGE)?
What are Google’s AI Overviews (formerly SGE)? Go to techtarget
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365 Data Centers and InterServer Collaboration Reflects Growing Significance of NJ as a Data Center Hub
365 Data Centers and InterServer Collaboration Reflects Growing Significance of NJ as a Data Center Hub 365 Data Centers, a leading provider of network-centric colocation, network, cloud, and other managed services, is announcing a strategic partnership with InterServer, a renowned web hosting and managed services provider, aiming to expand each company’s existing IT capabilities while…
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DBA Highlights of Oracle Database 23ai
DBA Highlights of Oracle Database 23ai Oracle Database 23ai is the next long-term support release and offers over 300 new features. Originally named Oracle Database 23i, it was rebranded to Oracle Database 23ai with a heavy focus on artificial intelligence (AI). To optimize many of the database’s key functions, Oracle Database 23ai uses AI for…
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DBA Highlights of Oracle Database 23ai
DBA Highlights of Oracle Database 23ai Oracle Database 23ai is the next long-term support release and offers over 300 new features. Originally named Oracle Database 23i, it was rebranded to Oracle Database 23ai with a heavy focus on artificial intelligence (AI). To optimize many of the database’s key functions, Oracle Database 23ai uses AI for…
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Nashville General Hospital Applies Oracle Health CommunityWorks to Simplify Clinician Experience, Enhance Patient Care
Nashville General Hospital Applies Oracle Health CommunityWorks to Simplify Clinician Experience, Enhance Patient Care Nashville General Hospital (NGH), Middle Tennessee’s public safety-net hospital serving Davidson County and Nashville, Tennessee, is using Oracle Health CommunityWorks to better support its clinical, financial, and operational needs. Unifying its clinical operations with the new centralized and integrated electronic health…
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Ireckonu?s Platform is Now Available on the Oracle Cloud Marketplace
Ireckonu?s Platform is Now Available on the Oracle Cloud Marketplace Ireckonu, a leading provider of hospitality digital solutions, and a member of Oracle PartnerNetwork (OPN), announced that Ireckonu CORE Middleware and Customer Data Platform (CDP) is now available on Oracle Cloud Marketplace and can be deployed on Oracle Cloud Infrastructure (OCI) and integrated with OPERA…
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Are A-B tests leading market researchers and online advertisers astray? Study says they could be
Are A-B tests leading market researchers and online advertisers astray? Study says they could be Researchers from Southern Methodist University and the University of Michigan published a study that examines platforms’ A-B testing of online ads and uncovers significant limitations that can create misleading conclusions about ad performance. Go to techxplore
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An AI tool may help optimize methane storage solutions
An AI tool may help optimize methane storage solutions A new approach harnesses machine learning to search for materials to store methane, helping accelerate the adoption of methane as a cleaner alternative fuel for vehicles. The University of Michigan-led study is published in Physical Review Materials. Go to techxplore
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Specialized hardware solves high-order optimization problems with in-memory computing
Specialized hardware solves high-order optimization problems with in-memory computing The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back and forth between the memory and compute elements in a computer. The physical distance is small, but the process…
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Lithium-sulfur batteries: Study uncovers key degradation insights
Lithium-sulfur batteries: Study uncovers key degradation insights Lithium-sulfur batteries have a number of advantages over conventional lithium batteries: they use the abundant raw material sulfur, do not require the critical elements cobalt or nickel, and can achieve extremely high specific energy densities. Prototype cells are already achieving up to 500 Wh/kg, almost twice as much…
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Thermochromorph: A printmaking technique that transforms images with heat
Thermochromorph: A printmaking technique that transforms images with heat Researchers in MIT Professor Stefanie Mueller’s group have spent much of the last decade developing a variety of computing techniques aimed at reimagining how products and systems are designed. Much in the way that platforms like Instagram allow users to modify 2D photographs with filters, Mueller…
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Machines, Not Humans to Drive Crypto’s Mass Adoption?
Machines, Not Humans to Drive Crypto’s Mass Adoption? AI agents are set to outnumber humans on blockchain networks, signaling a transformative shift in crypto’s future, according to some. Vince Dioquino Go to decrypt.co
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Bitcoin Faces Short-Term Pressure Amid Macro and Sentiment Shifts
Bitcoin Faces Short-Term Pressure Amid Macro and Sentiment Shifts After topping $108,000 in December, Bitcoin has reversed due to a stronger dollar, increased volatility, and cautious traders. Will it last? Sebastian Sinclair Go to decrypt.co
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The Most Eye-Catching and Absurd AI Products Unveiled at CES 2025 So Far
The Most Eye-Catching and Absurd AI Products Unveiled at CES 2025 So Far AI powers CES 2025’s quirkiest gadgets, including robot vacuums, smart TVs, and even a smart mirror that tracks health metrics. Jason Nelson Go to decrypt.co
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What Does OpenAI’s Sam Altman Mean When He Says AGI is Achievable?
What Does OpenAI’s Sam Altman Mean When He Says AGI is Achievable? OpenAI’s CEO made bold claims about artificial general intelligence and the adoption of AI agents in 2025, but experts aren’t quite convinced. Jose Antonio Lanz Go to decrypt.co
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Pro-Bitcoin Canadian PM Contender Gets Nod From Elon Musk Amid DOGE Push
Pro-Bitcoin Canadian PM Contender Gets Nod From Elon Musk Amid DOGE Push Elon Musk offered praise for Pierre Poilievre, a Bitcoin advocate and contender for Canadian PM, who wants to cut government spending. Mathew Di Salvo Go to decrypt.co
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Class-Balance Bias in Regularized Regression
Class-Balance Bias in Regularized Regression arXiv:2501.03821v1 Announce Type: new Abstract: Regularized models are often sensitive to the scales of the features in the data and it has therefore become standard practice to normalize (center and scale) the features before fitting the model. But there are many different ways to normalize the features and the choice…
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Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance
Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance arXiv:2501.03627v1 Announce Type: cross Abstract: In many applications, both data samples and features have underlying hierarchical structures. However, existing methods for learning these latent structures typically focus on either samples or features, ignoring possible coupling between them. In this paper, we introduce a coupled hierarchical structure learning method…
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Deep Networks are Reproducing Kernel Chains
Deep Networks are Reproducing Kernel Chains arXiv:2501.03697v1 Announce Type: cross Abstract: Identifying an appropriate function space for deep neural networks remains a key open question. While shallow neural networks are naturally associated with Reproducing Kernel Banach Spaces (RKBS), deep networks present unique challenges. In this work, we extend RKBS to chain RKBS (cRKBS), a new…
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Symmetry and Generalisation in Machine Learning
Symmetry and Generalisation in Machine Learning arXiv:2501.03858v1 Announce Type: cross Abstract: This work is about understanding the impact of invariance and equivariance on generalisation in supervised learning. We use the perspective afforded by an averaging operator to show that for any predictor that is not equivariant, there is an equivariant predictor with strictly lower test…
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How To Learn Math for Machine Learning, Fast
How To Learn Math for Machine Learning, Fast Even with zero math background Photo by Antoine Dautry on Unsplash Do you want to become a Data Scientist or machine learning engineer, but you feel intimidated by all the math involved? I get it. I’ve been there. I dropped out of High School after 10th grade, so I…
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How Recurrent Neural Networks (RNNs) Are Revolutionizing Decision-Making Research
How Recurrent Neural Networks (RNNs) Are Revolutionizing Decision-Making Research A deep dive into the world of computational modeling and its applications Continue reading on Towards Data Science » Kaushik Rajan Go to original source
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Understanding the Evolution of ChatGPT: Part 1—An In-Depth Look at GPT-1 and What Inspired It
Understanding the Evolution of ChatGPT: Part 1—An In-Depth Look at GPT-1 and What Inspired It Tracing the roots of ChatGPT: GPT-1, the foundation of OpenAI’s LLMs (Image from Unsplash) The GPT (Generative Pre-Training) model family, first introduced by OpenAI in 2018, is another important application of the Transformer architecture. It has since evolved through versions like…
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How to Securely Connect Microsoft Fabric to Azure Databricks SQL API
How to Securely Connect Microsoft Fabric to Azure Databricks SQL API Integration architecture focusing on security and access control Connecting Compute — image by Alexandre Debiève on Unsplash 1. Introduction Microsoft Fabric and Azure Databricks are both powerhouses in the data analytics field. These platforms can be used end-to-end in a medallion architecture, from data ingestion to creating data…
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How to Build an AI Agent for Data Analytics Without Writing SQL
How to Build an AI Agent for Data Analytics Without Writing SQL Create a comprehensive AI agent from the ground up utilizing LangChain and DuckDB Continue reading on Towards Data Science » Chengzhi Zhao Go to original source
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SAP’s challenge ahead is making a case for cloud migrations
SAP’s challenge ahead is making a case for cloud migrations Go to techtarget
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Cyberattacks Become More Sophisticated in 2025? Experts Provide 8 Predictions for Security
Cyberattacks Become More Sophisticated in 2025? Experts Provide 8 Predictions for Security Cybersecurity continues to be top of mind for organizations everywhere as 2025 begins. In 2024 alone, hackers attacked hospitals and other health care organizations, telecom giants, supply chains, and more. Even government entities haven’t been spared in these attacks. Here, security experts share…
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Database and SaaS Software Providers Split into Standalone Businesses Following Software GmbH?s Closing Sales
Database and SaaS Software Providers Split into Standalone Businesses Following Software GmbH?s Closing Sales Software GmbH, the holding entity of the Software AG group, is announcing the closing of sales of Alfabet and Cumulocity, following the entity’s previous divestments of webMethods, StreamSets, and TrendMiner this past summer. As a result, Adabas & Natural (A&N)?the provider…
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Blitzy Platform Radically Accelerates Software Development with AI-Powered Autonomous Batch Building
Blitzy Platform Radically Accelerates Software Development with AI-Powered Autonomous Batch Building Blitzy, the emerging leader in System 2 AI, is announcing the launch of the Blitzy Platform, the company’s agentic solution that promises to revolutionize the way enterprises build software applications. Go to dbta
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IBM?s Acquisition of HashiCorp Stalls
IBM?s Acquisition of HashiCorp Stalls IBM’s proposed plan to acquire HashiCorp, a leading cloud software company, is now under investigation by U.K.’s antitrust regulator, the Competition and Markets Authority, or CMA. The CMA is seeking to determine whether the acquisition could reduce market competition. Go to dbta
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Yondr Group Solidifies North American Expansion with Toronto Data Center
Yondr Group Solidifies North American Expansion with Toronto Data Center Yondr Group, a leading global developer, owner, and operator of hyperscale data centers, announced it secured a 4.5-acre site in Toronto to develop its first Canadian data center. The three-story 27MW data center is planned to bring its first megawatts online in mid- 2026. The…
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From logs to security: How process analysis is transforming access control
From logs to security: How process analysis is transforming access control Researchers at the University of Electro-Communications have developed a framework for improving system security by analyzing business process logs. The research is published in the International Journal of Software Engineering and Knowledge Engineering. Go to techxplore
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Disinformation experts slam Meta decision to end US fact-checking
Disinformation experts slam Meta decision to end US fact-checking Tech giant Meta’s shock announcement to end its US fact-checking program triggered scathing criticism Tuesday from disinformation researchers who warned it risked opening the floodgates for proliferating false narratives. Go to techxplore
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Smart food drying techniques with AI enhance product quality and efficiency
Smart food drying techniques with AI enhance product quality and efficiency Food drying is a common process for preserving many types of food, including fruits and meat; however, drying can alter the food’s quality and nutritional value. In recent years, researchers have developed precision techniques that use optical sensors and AI to facilitate more efficient…
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Ramping up the scale of climate and energy technology: Experts recommend technical risk assessment strategies
Ramping up the scale of climate and energy technology: Experts recommend technical risk assessment strategies One of the biggest challenges in implementing energy and climate technologies is actually scaling them up to deploy. While scale-up has largely been the domain of industrial R&D teams, advances in modeling and experimental techniques increasingly allow early-stage researchers like…
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TVs get smarter as makers cater to AI lifestyles
TVs get smarter as makers cater to AI lifestyles Dazzling televisions that routinely star at the Consumer Electronics Show opening here Tuesday are getting ever smarter with an eye toward being at the heart of AI-centered lifestyles. Go to techxplore
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Solana Proposal Promises to Bring Support to Billions of Users
Solana Proposal Promises to Bring Support to Billions of Users Solana’s latest proposal introduces a new hashing system that could eliminate computational bottlenecks while maintaining security. Vince Dioquino Go to decrypt.co
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Hong Kong Deepfake Scam Group Caught Pretending to Be Rich Single Women
Hong Kong Deepfake Scam Group Caught Pretending to Be Rich Single Women Notebooks seized by local law enforcement revealed elaborate methods to dupe users out of their money, which included deepfakes. Adrian Zmudzinski Go to decrypt.co
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Crypto Industry Waves Goodbye to Top Fed Regulator as Resignations Pile Up
Crypto Industry Waves Goodbye to Top Fed Regulator as Resignations Pile Up Michael Barr stepped down from his post on Monday and follows closely on the heels of SEC Chairman Gary Gensler’s announcement late last year. Liz Napolitano Go to decrypt.co
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The Next Generation Will Never Know a World Without AI
The Next Generation Will Never Know a World Without AI Unlike previous generations, Gen Beta will grow up in a world where generative AI is ubiquitous and edging closer to singularity. Jason Nelson Go to decrypt.co
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Bitcoin and Ethereum ETFs Have Already Added $585 Million in 2025
Bitcoin and Ethereum ETFs Have Already Added $585 Million in 2025 Crypto ETFs have already added $585 million worth of new money in January, led by Bitcoin and Ethereum funds, following a steep profit-taking drop in December. Stacy Elliott Go to decrypt.co
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Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks arXiv:2501.02043v1 Announce Type: new Abstract: Graph convolutional neural networks (GCNs) have shown tremendous promise in addressing data-intensive challenges in recent years. In particular, some attempts have been made to improve predictions of Susceptible-Infected-Recovered (SIR) models by incorporating human mobility…
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Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso
Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso arXiv:2501.02197v1 Announce Type: new Abstract: The generalized lasso is a natural generalization of the celebrated lasso approach to handle structural regularization problems. Many important methods and applications fall into this framework, including fused lasso, clustered lasso, and constrained lasso. To elevate its effectiveness in large-scale problems, extensive research…
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Robust Multi-Dimensional Scaling via Accelerated Alternating Projections
Robust Multi-Dimensional Scaling via Accelerated Alternating Projections arXiv:2501.02208v1 Announce Type: new Abstract: We consider the robust multi-dimensional scaling (RMDS) problem in this paper. The goal is to localize point locations from pairwise distances that may be corrupted by outliers. Inspired by classic MDS theories, and nonconvex works for the robust principal component analysis (RPCA) problem,…
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Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance
Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance arXiv:2501.02298v1 Announce Type: new Abstract: Score-based Generative Models (SGMs) aim to sample from a target distribution by learning score functions using samples perturbed by Gaussian noise. Existing convergence bounds for SGMs in the $mathcal{W}_2$-distance rely on stringent assumptions about the data…
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Who Wrote This? Zero-Shot Statistical Tests for LLM-Generated Text Detection using Finite Sample Concentration Inequalities
Who Wrote This? Zero-Shot Statistical Tests for LLM-Generated Text Detection using Finite Sample Concentration Inequalities arXiv:2501.02406v1 Announce Type: new Abstract: Verifying the provenance of content is crucial to the function of many organizations, e.g., educational institutions, social media platforms, firms, etc. This problem is becoming increasingly difficult as text generated by Large Language Models (LLMs)…
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The State of Quantum Computing: Where Are We Today?
The State of Quantum Computing: Where Are We Today? And what we need to overcome Continue reading on Towards Data Science » Sara A. Metwalli Go to original source
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Encapsulation: A Software Engineering Concept Data Scientists Must Know To Succeed
Encapsulation: A Software Engineering Concept Data Scientists Must Know To Succeed Simple concepts that differentiate a professional from amateurs Continue reading on Towards Data Science » Benjamin Lee Go to original source
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In Defense of Statistical Significance
In Defense of Statistical Significance We have to draw the line somewhere Photo by Siora Photography on Unsplash It’s become something of a meme that statistical significance is a bad standard. Several recent blogs have made the rounds, making the case that statistical significance is a “cult” or “arbitrary.” If you’d like a classic polemic (and…
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AI Agents Hype, Explained — What You Really Need to Know to Get Started
AI Agents Hype, Explained — What You Really Need to Know to Get Started I’ll set the record straight — AI Agents are not new but advanced. Learn how they’ve evolved and where to get started. Continue reading on Towards Data Science » Marc Nehme Go to original source
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Data behind the Luck, Ambition, and a Billion-Dollar Dream: Lottery
Data behind the Luck, Ambition, and a Billion-Dollar Dream: Lottery Using Seattle’s local retail store data for consumer patterns of the lottery (SQL, Python) Continue reading on Towards Data Science » Sunghyun Ahn Go to original source
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9 data visualization certifications
9 data visualization certifications Go to techtarget
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Navigating the Open-Source Revolution in Database Management
Navigating the Open-Source Revolution in Database Management Open-source software has reshaped many IT disciplines, and the world of database administration (DBA) is no exception. The open-source community, and the software it has produced, has evolved into a powerful force that drives both innovation and economic efficiency. For DBAs, this evolution brings new opportunities and challenges.…
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IBM?s Acquisition of HashiCorp Stalls
IBM?s Acquisition of HashiCorp Stalls IBM’s proposed plan to acquire HashiCorp, a leading cloud software company, is now under investigation by U.K.’s antitrust regulator, the Competition and Markets Authority, or CMA. The CMA is seeking to determine whether the acquisition could reduce market competition. Go to dbta
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Yondr Group Solidifies North American Expansion with Toronto Data Center
Yondr Group Solidifies North American Expansion with Toronto Data Center Yondr Group, a leading global developer, owner, and operator of hyperscale data centers, announced it secured a 4.5-acre site in Toronto to develop its first Canadian data center. The three-story 27MW data center is planned to bring its first megawatts online in mid- 2026. The…
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Duos Teams Up with Texas City for Sustainable Data Center Development
Duos Teams Up with Texas City for Sustainable Data Center Development Duos Technologies Group, Inc. (Duos), through its operating subsidiaries Duos Edge AI, Inc., and Duos Energy Corp., is partnering with the Pampa Energy Center (PEC) to develop high-density Data Center Development Parks powered by up to 500MW of natural gas self-generation, supplemented by up…
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Digital Realty Reaches 100% Clean Energy Milestone in Illinois
Digital Realty Reaches 100% Clean Energy Milestone in Illinois Digital Realty, a global provider of cloud- and carrier-neutral data center, colocation, and interconnection solutions, announced its portfolio of 11 data centers in Illinois will be matched with 100% clean and renewable energy beginning in 2025. According to the vendor, the initiative underscores Digital Realty’s commitments…
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Researchers propose AI-driven solution for smarter traffic management
Researchers propose AI-driven solution for smarter traffic management A new method for managing urban traffic at multi-intersection networks is discussed in the International Journal of Information and Communication Technology. The research promises improvements in efficiency and adaptability, and by combining technologies could address the long-standing challenges of congestion and unpredictable traffic patterns in dense urban…
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‘Lost year’: Germany electric car sales go into reverse
‘Lost year’: Germany electric car sales go into reverse Sales of new electric vehicles in Germany plunged last year, official figures showed Monday, as a slow switch to battery-powered cars deepened the woes of the country’s flagship auto industry. Go to techxplore
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AI unveils strange chip designs, while discovering new functionalities
AI unveils strange chip designs, while discovering new functionalities Specialized microchips that manage signals at the cutting edge of wireless technology are astounding works of miniaturization and engineering. They’re also difficult and expensive to design. Go to techxplore
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Doppler radar tracks non-weather debris to aid emergency response
Doppler radar tracks non-weather debris to aid emergency response Researchers at the Department of Energy’s Oak Ridge National Laboratory are using non-weather data from the nationwide weather radar network to understand how to track non-meteorological events moving through the air for better emergency response. Weather reports on the news show colorful, near-time representations of clouds…
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How US policies and perceptions impact Puerto Rico’s energy infrastructure
How US policies and perceptions impact Puerto Rico’s energy infrastructure Northeastern University chemistry professor Eugene Smotkin was in his home in the Puerto Rican residential district of Old San Juan when he, like more than a million other residents on the island, lost power on New Year’s Eve. Go to techxplore
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Navigating the future of compute
Navigating the future of compute Applications have become indispensable in our daily lives, shaping how we work, communicate and entertain. As they become increasingly sophisticated with the advent of new technologies such as artificial intelligence (AI) or high-performance computing, this progress has sparked many questions about the silent backbone that supports these applications: compute infrastructure.…
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OpenAI’s Altman, Ethereum’s Buterin Outline Competing Visions for AI’s Future
OpenAI’s Altman, Ethereum’s Buterin Outline Competing Visions for AI’s Future Sam Altman has emphasized OpenAI’s readiness to build out AGI this year as Vitalik Buterin cautions a need for robust safety mechanisms. Vince Dioquino Go to decrypt.co
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Pro-Crypto Lawyer Deaton Calls for Congressional Probe Into FDIC Activity
Pro-Crypto Lawyer Deaton Calls for Congressional Probe Into FDIC Activity Deaton contends some regulatory actions appear driven by political agendas rather than grounded in sound policy, echoing industry concerns. Sebastian Sinclair Go to decrypt.co
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Japan’s Metaplanet To Expand Bitcoin Holdings by 470% in 2025
Japan’s Metaplanet To Expand Bitcoin Holdings by 470% in 2025 Metaplanet’s expansion goal aligns with forecasts that government Bitcoin adoption could spur broader institutional investment in 2025. Vince Dioquino Go to decrypt.co
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This Week in Crypto Games: Hamster Kombat ‘HamsterVerse’, Telegram Game Airdrop Updates
This Week in Crypto Games: Hamster Kombat ‘HamsterVerse’, Telegram Game Airdrop Updates Catch up on this week’s biggest crypto and NFT gaming news and find some weekend reads in our latest roundup. Ryan Gladwin Go to decrypt.co
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7 Under-the-Radar Gaming Gems From 2024 That You Might Have Missed
7 Under-the-Radar Gaming Gems From 2024 That You Might Have Missed Before 2025’s biggest games start rolling out, here’s a list of overlooked gems from last year that are well worth playing. Eric Frederiksen Go to decrypt.co
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Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent
Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent arXiv:2501.01696v1 Announce Type: new Abstract: Tensors, which give a faithful and effective representation to deliver the intrinsic structure of multi-dimensional data, play a crucial role in an increasing number of signal processing and machine learning problems. However, tensor data are often accompanied by arbitrary signal corruptions,…
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Unified Native Spaces in Kernel Methods
Unified Native Spaces in Kernel Methods arXiv:2501.01825v1 Announce Type: new Abstract: There exists a plethora of parametric models for positive definite kernels, and their use is ubiquitous in disciplines as diverse as statistics, machine learning, numerical analysis, and approximation theory. Usually, the kernel parameters index certain features of an associated process. Amongst those features, smoothness…
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Signal Recovery Using a Spiked Mixture Model
Signal Recovery Using a Spiked Mixture Model arXiv:2501.01840v1 Announce Type: new Abstract: We introduce the spiked mixture model (SMM) to address the problem of estimating a set of signals from many randomly scaled and noisy observations. Subsequently, we design a novel expectation-maximization (EM) algorithm to recover all parameters of the SMM. Numerical experiments show that…
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Transfer Neyman-Pearson Algorithm for Outlier Detection
Transfer Neyman-Pearson Algorithm for Outlier Detection arXiv:2501.01525v1 Announce Type: cross Abstract: We consider the problem of transfer learning in outlier detection where target abnormal data is rare. While transfer learning has been considered extensively in traditional balanced classification, the problem of transfer in outlier detection and more generally in imbalanced classification settings has received less…
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Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information
Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information arXiv:2501.01544v1 Announce Type: cross Abstract: Post-alignment of large language models (LLMs) is critical in improving their utility, safety, and alignment with human intentions. Direct preference optimisation (DPO) has become one of the most widely used algorithms for achieving this alignment, given its ability…
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Weekly Entering & Transitioning – Thread 06 Jan, 2025 – 13 Jan, 2025
Weekly Entering & Transitioning – Thread 06 Jan, 2025 – 13 Jan, 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.…
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data experience
data experience submitted by /u/fool126 [link] [comments] /u/fool126 Go to original source
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What’s your biggest time sink as a data scientist?
What’s your biggest time sink as a data scientist? I’ve got a few ideas for DS tooling I was thinking of taking on as a side project, so this is a bit of a market research post. I’m curious what data-scientist specific task/problem is the biggest time suck for you at work. I feel like…
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Do you prepare for interviews first or apply for jobs first?
Do you prepare for interviews first or apply for jobs first? I’ve started looking for a new job and find myself in a bit of a dilemma that I’m hoping you might have some experience with. Every day, I come across roles that seem like a great fit, but I hesitate to apply because I…