不知道 不明了 不想要
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The Best Co-Op Games of 2024 to Play With Your Pals
The Best Co-Op Games of 2024 to Play With Your Pals Playing solo can get lonely, so why not team up? Here are our top cooperative games of 2024 to enjoy with friends right now. Eric Frederiksen Go to decrypt.co
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5 Biggest Crypto Airdrops of 2024
5 Biggest Crypto Airdrops of 2024 The top five token handouts of the year netted users over $19 billion worth of free crypto, but the airdrops didn’t stop there. André Beganski Go to decrypt.co
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The Year in Ethereum: Lawsuits, ETFs, Technical Upgrades and Trump
The Year in Ethereum: Lawsuits, ETFs, Technical Upgrades and Trump Ethereum didn’t smash its all-time price record, unlike Bitcoin, but plenty still happened—from ETFs to tech improvements and more. Mathew Di Salvo Go to decrypt.co
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Neural Networks Perform Sufficient Dimension Reduction
Neural Networks Perform Sufficient Dimension Reduction arXiv:2412.19033v1 Announce Type: new Abstract: This paper investigates the connection between neural networks and sufficient dimension reduction (SDR), demonstrating that neural networks inherently perform SDR in regression tasks under appropriate rank regularizations. Specifically, the weights in the first layer span the central mean subspace. We establish the statistical consistency…
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Localized exploration in contextual dynamic pricing achieves dimension-free regret
Localized exploration in contextual dynamic pricing achieves dimension-free regret arXiv:2412.19252v1 Announce Type: new Abstract: We study the problem of contextual dynamic pricing with a linear demand model. We propose a novel localized exploration-then-commit (LetC) algorithm which starts with a pure exploration stage, followed by a refinement stage that explores near the learned optimal pricing policy,…
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Adaptive Conformal Inference by Betting
Adaptive Conformal Inference by Betting arXiv:2412.19318v1 Announce Type: new Abstract: Conformal prediction is a valuable tool for quantifying predictive uncertainty of machine learning models. However, its applicability relies on the assumption of data exchangeability, a condition which is often not met in real-world scenarios. In this paper, we consider the problem of adaptive conformal inference…
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Asymptotically Optimal Search for a Change Point Anomaly under a Composite Hypothesis Model
Asymptotically Optimal Search for a Change Point Anomaly under a Composite Hypothesis Model arXiv:2412.19392v1 Announce Type: new Abstract: We address the problem of searching for a change point in an anomalous process among a finite set of M processes. Specifically, we address a composite hypothesis model in which each process generates measurements following a common…
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Low-Rank Contextual Reinforcement Learning from Heterogeneous Human Feedback
Low-Rank Contextual Reinforcement Learning from Heterogeneous Human Feedback arXiv:2412.19436v1 Announce Type: new Abstract: Reinforcement learning from human feedback (RLHF) has become a cornerstone for aligning large language models with human preferences. However, the heterogeneity of human feedback, driven by diverse individual contexts and preferences, poses significant challenges for reward learning. To address this, we propose…
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Weekly Entering & Transitioning – Thread 30 Dec, 2024 – 06 Jan, 2025
Weekly Entering & Transitioning – Thread 30 Dec, 2024 – 06 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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My Data Science Manifesto from a Self Taught Data Scientist
My Data Science Manifesto from a Self Taught Data Scientist Background I’m a self-taught data scientist, with about 5 years of data analyst experience and now about 5 years as a Data Scientist. I’m more math minded than the average person, but I’m not special. I have a bachelor’s degree in mechanical engineering, and have…
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recommend me the best statistics textbook for data science
recommend me the best statistics textbook for data science I am intermediate level student who already studied stats , But i want to revisit it from DS and ML perspective submitted by /u/Emotional-Rhubarb725 [link] [comments] /u/Emotional-Rhubarb725 Go to original source
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Looking for some Senior DS Advice
Looking for some Senior DS Advice Hello everyone, I think this is okay to be a post since it’s not about entering/transitioning, but if I need to repost in the weekly threads please let me know! TLDR: I started working as a Data Scientist at a medium to large company almost 3 years ago. I…
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What are some of the most interesting applied ml papers/blogs you read in 2024 or projects you worked on
What are some of the most interesting applied ml papers/blogs you read in 2024 or projects you worked on I am looking for some interesting successful/unsuccessful real-world machine learning applications. You are also free to share experiences building applications with machine learning that have actually had some real world impact. Something of this type: LinkedIn…
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Introducing n-Step Temporal-Difference Methods
Introducing n-Step Temporal-Difference Methods Dissecting “Reinforcement Learning” by Richard S. Sutton with custom Python implementations, Episode V Continue reading on Towards Data Science » Oliver S Go to original source
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Superposition: What Makes it Difficult to Explain Neural Network
Superposition: What Makes it Difficult to Explain Neural Network When there are more features than model dimensions Introduction It would be ideal if the world of neural network represented a one-to-one relationship: each neuron activates on one and only one feature. In such a world, interpreting the model would be straightforward: this neuron fires for…
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Segmenting Water in Satellite Images Using Paligemma
Segmenting Water in Satellite Images Using Paligemma Some insights on using Google’s latest Vision Language Model Hutt Lagoon, Australia. Depending on the season, time of day, and cloud coverage, this lake changes from red to pink or purple. Source: Google Maps. Multimodal models are architectures that simultaneously integrate and process different data types, such as text, images,…
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AI’s next frontier: Selling your intentions before you know them
AI’s next frontier: Selling your intentions before you know them The near future could see AI assistants that forecast and influence our decision-making at an early stage, and sell these developing “intentions” in real-time to companies that can meet the need—before we even realize we have made up our minds. Go to techxplore
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Crypto and AI Hardware That Turned Heads in 2024
Crypto and AI Hardware That Turned Heads in 2024 From AI wearables to gaming handhelds, smartphones, and humanoid robots, these crypto and AI devices grabbed our attention in 2024. Vince Dioquino Go to decrypt.co
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The 7 Breakout Crypto Games of 2024
The 7 Breakout Crypto Games of 2024 From Notcoin to Off the Grid and Fantasy Top, these games captured the crypto world’s attention—at least for a while. Andrew Hayward Go to decrypt.co
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The 7 Wildest Meme Coin Livestreams on Pump.fun in 2024
The 7 Wildest Meme Coin Livestreams on Pump.fun in 2024 Livestreaming for Pump.fun meme coins was a trend this year that got way out of hand. Here are seven of the worst examples. Ryan Gladwin Go to decrypt.co
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The Year in Bitcoin: From ETFs to All-Time Highs
The Year in Bitcoin: From ETFs to All-Time Highs Bitcoin had a big year: ETFs, institutional adoption, political battles, and even meme coins. Here’s a lack back at Bitcoin in 2024. Mathew Di Salvo Go to decrypt.co
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Deep Dive into Multithreading, Multiprocessing, and Asyncio
Deep Dive into Multithreading, Multiprocessing, and Asyncio How to choose the right concurrency model Image by Paul Esch-Laurent from Unsplash Python provides three main approaches to handle multiple tasks simultaneously: multithreading, multiprocessing, and asyncio. Choosing the right model is crucial for maximising your program’s performance and efficiently using system resources. (P.S. It is also a common interview…
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Measuring Cross-Product Adoption Using dbt_set_similarity
Measuring Cross-Product Adoption Using dbt_set_similarity Enhancing cross-product insights within dbt workflows Introduction For multi-product companies, one critical metric is often what is called “cross-product adoption”. (i.e. understanding how users engage with multiple offerings in a given product portfolio) One measure suggested to calculate cross-product or cross-feature usage in the popular book Hacking Growth [1] is…
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EU universal charger rules come into force
EU universal charger rules come into force EU rules requiring all new smartphones, tablets and cameras to use the same charger came into force on Saturday, in a change Brussels said will cut costs and waste. Go to techxplore
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The Year in Crypto: Gary Gone Wild
The Year in Crypto: Gary Gone Wild Gensler, who once said that “everything but Bitcoin” falls under his agency’s purview, is on the way out. But what’s next for the industry? André Beganski Go to decrypt.co
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Building Trust in LLM Answers: Highlighting Source Texts in PDFs
Building Trust in LLM Answers: Highlighting Source Texts in PDFs 100% accuracy isn’t everything: helping users navigate the document is the real value Continue reading on Towards Data Science » Angela & Kezhan Shi Go to original source
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Introduction to the Finite Normal Mixtures in Regression with
Introduction to the Finite Normal Mixtures in Regression with Introduction to the Finite Normal Mixtures in Regression with R How to make linear regression flexible enough for non-linear data The linear regression is usually considered not flexible enough to tackle the nonlinear data. From theoretical viewpoint it is not capable to dealing with them. However, we…
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Master Bots Before Starting with AI Agents: Simple Steps to Create a Mastodon Bot with Python
Master Bots Before Starting with AI Agents: Simple Steps to Create a Mastodon Bot with Python I recently published a post on Mastodon that was shared by six other accounts within two minutes. Curious, I visited the profiles and… Continue reading on Towards Data Science » Sarah Lea Go to original source
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Unlocking the Untapped Potential of Retrieval-Augmented Generation (RAG) Pipelines
Unlocking the Untapped Potential of Retrieval-Augmented Generation (RAG) Pipelines Essential Metrics and Methods to Enhance Performance Across Retrieval, Generation, and End-to-End Pipelines Continue reading on Towards Data Science » Saleh Alkhalifa Go to original source
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How To Start A Data Science Blog on Medium
How To Start A Data Science Blog on Medium Tips on how to get started, write your first article, and get noticed Continue reading on Towards Data Science » Haden Pelletier Go to original source
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Sport produces mountains of high-tech waste—researchers are finding new ways to recycle it
Sport produces mountains of high-tech waste—researchers are finding new ways to recycle it In the early days of the modern Olympics and Paralympics, athletes competed using heavy, non-aerodynamic equipment. The record for throwing a javelin, for instance, has almost doubled since 1908, when the sport was introduced. Athletes have got better—but so has their equipment.…
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A comprehensive survey of federated transfer learning: Challenges, methods and applications
A comprehensive survey of federated transfer learning: Challenges, methods and applications Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional FL methods face challenges such as data heterogeneity, system heterogeneity, and labeled data scarcity. Go to techxplore
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AI and robots pose new ethical challenges for society
AI and robots pose new ethical challenges for society Artificial intelligence (AI) and AI-enabled robots are becoming a bigger part of our daily lives. Real-time, flexible interactions between humans and robots are no longer just science fiction. As robots become smarter and more human-like in both behavior and appearance, they are transforming from mere tools…
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Montenegro to extradite crypto entrepreneur Do Kwon to US
Montenegro to extradite crypto entrepreneur Do Kwon to US Montenegro announced on Friday that it would extradite South Korean cryptocurrency entrepreneur Do Kwon to the United States, following a year and a half of dizzying court rulings and subsequent reversals over his removal. Go to techxplore
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OpenAI outlines plans to becoming for-profit company
OpenAI outlines plans to becoming for-profit company ChatGPT-maker OpenAI laid out plans Friday for a new corporate structure shifting away from control by a non-profit—an issue of contention for the artificial intelligence trailblazer. Go to techxplore
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The Best Games of 2024 That You Can Snag for Under $25
The Best Games of 2024 That You Can Snag for Under $25 Who needs a high-end GPU or a drained wallet? From puzzles and card games to shoot ’em ups, here are this year’s top picks on a tight budget. Eric Frederiksen Go to decrypt.co
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The Year in Crypto: Bitcoin and Ethereum ETFs Bring More Investors Into Crypto
The Year in Crypto: Bitcoin and Ethereum ETFs Bring More Investors Into Crypto Bitcoin ETFs became a lightning rod for institutional capital this year, while spot Ethereum ETFs opened the door for other assets. André Beganski Go to decrypt.co
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Bigger Gains Than Bitcoin: Top-Performing Crypto Assets of 2024
Bigger Gains Than Bitcoin: Top-Performing Crypto Assets of 2024 Bitcoin hit a record high this year, boosted by U.S. spot ETF approvals and Trump’s election—though some assets did even better. Mathew Di Salvo Go to decrypt.co
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The Best Generative AI Models—From Chatbots to Image and Video Generators
The Best Generative AI Models—From Chatbots to Image and Video Generators From language models to image generators, discover the top tools transforming AI in 2024—and the biggest letdowns along the way. Jose Antonio Lanz Go to decrypt.co
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SCENE’s 2024 Story of the Year: The Boom—and Bust—of Celebrity Meme Coins
SCENE’s 2024 Story of the Year: The Boom—and Bust—of Celebrity Meme Coins Celebrities swarmed to crypto this year, launching their own meme coins to varying degrees of success. Where does the “celeb meta” go from here? Ryan Gladwin Go to decrypt.co
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Track Computer Vision Experiments with MLflow
Track Computer Vision Experiments with MLflow Discover how to set up an efficient MLflow environment to track your experiments, compare and choose the best model for deployment Continue reading on Towards Data Science » Yağmur Çiğdem Aktaş Go to original source
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Jingle Bells and Statistical Tests
Jingle Bells and Statistical Tests Data Types, Hypotheses and Statistical Tests That Fit Them with Festive Christmas Market Examples🎄🎅🎡 Continue reading on Towards Data Science » Gizem Kaya Go to original source
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How Neural Networks Learn: A Probabilistic Viewpoint
How Neural Networks Learn: A Probabilistic Viewpoint Understanding loss functions for training neural networks Machine learning is very hands-on, and everyone charts their own path. There isn’t a standard set of courses to follow, as was traditionally the case. There’s no ‘Machine Learning 101,’ so to speak. However, this sometimes leaves gaps in understanding. If you’re…
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Linearizing Attention
Linearizing Attention Breaking the quadratic barrier: modern alternatives to softmax attention Large Languange Models are great but they have a slight drawback that they use softmax attention which can be computationally intensive. In this article we will explore if there is a way we can replace the softmax somehow to achieve linear time complexity. Image…
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Understanding the Mathematics of PPO in Reinforcement Learning
Understanding the Mathematics of PPO in Reinforcement Learning Deep dive into RL with PPO for beginners Photo by ThisisEngineering on Unsplash Introduction Reinforcement Learning (RL) is a branch of Artificial Intelligence that enables agents to learn how to interact with their environment. These agents, which range from robots to software features or autonomous systems, learn through…
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SAP leadership turmoil needs to settle in 2025
SAP leadership turmoil needs to settle in 2025 Go to techtarget
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What is synthetic data? Examples, use cases and benefits
What is synthetic data? Examples, use cases and benefits Go to techtarget
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Improve data visualizations, become a better storyteller
Improve data visualizations, become a better storyteller Go to techtarget
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Five facts about electric vehicles in 2024
Five facts about electric vehicles in 2024 Electric vehicles had another whirlwind year around the globe, driven by buyers in China, and growth in parts of Europe and the United States, despite headwinds. Go to techxplore
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Japan Airlines was hit by a cyberattack, delaying flights during the year-end holiday season
Japan Airlines was hit by a cyberattack, delaying flights during the year-end holiday season Japan Airlines said it was hit by a cyberattack Thursday, causing delays to more than 20 domestic flights but the carrier said it was able to stop the onslaught and restore its systems hours later. There was no impact on flight…
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7 Massive Games From 2024 Worth Playing Over the Holiday Break
7 Massive Games From 2024 Worth Playing Over the Holiday Break This holiday season, skip the doomscrolling and dive into some games worth your time. These picks will keep you entertained for hours. Eric Frederiksen Go to decrypt.co
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5 Weirdest Tech Trends of 2024: From AI Lovers to Brain Hacking
5 Weirdest Tech Trends of 2024: From AI Lovers to Brain Hacking Remember when the weirdest thing about 2023 was the beer made of Amouranth’s vaginal yeast? Well, 2024 said “hold my mug.” Jose Antonio Lanz Go to decrypt.co
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GG’s 2024 Game of the Year: Off the Grid
GG’s 2024 Game of the Year: Off the Grid Off the Grid forced the industry to take crypto gaming seriously after making a big splash in early access. Gunzilla shares what’s next. Ryan Gladwin Go to decrypt.co
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From DMM Bitcoin to the US Government: Largest Crypto Exploits and Hacks of 2024
From DMM Bitcoin to the US Government: Largest Crypto Exploits and Hacks of 2024 The crypto industry may have matured this year, but hackers made off with billions by targeting a mix of DeFi projects and exchanges. Mathew Di Salvo Go to decrypt.co
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Understanding When and How to Implement FastAPI Middleware (Examples and Use Cases)
Understanding When and How to Implement FastAPI Middleware (Examples and Use Cases) Supercharge Your FastAPI with Middleware: Practical Use Cases and Examples Continue reading on Towards Data Science » Mike Huls Go to original source
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Three Important Pandas Functions You Need to Know
Three Important Pandas Functions You Need to Know Master these techniques to stand out as a Python developer Continue reading on Towards Data Science » Jiayan Yin Go to original source
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Decoding the Hack behind Accurate Weather Forecasting: Variational Data Assimilation
Decoding the Hack behind Accurate Weather Forecasting: Variational Data Assimilation Learn how to implement the variational data assimilation, with mathematical details and PyTorch for efficient implementation. Continue reading on Towards Data Science » Wencong Yang, PhD Go to original source
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Language AIs in 2024: Size, guardrails and steps toward AI agents
Language AIs in 2024: Size, guardrails and steps toward AI agents I research the intersection of artificial intelligence, natural language processing and human reasoning as the director of the Advancing Human and Machine Reasoning lab at the University of South Florida. I am also commercializing this research in an AI startup that provides a vulnerability…
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‘Yes, I am a human’: Bot detection is no longer working—and just wait until AI agents come along
‘Yes, I am a human’: Bot detection is no longer working—and just wait until AI agents come along You’re running late at the airport and need to urgently access your account, only to be greeted by one of those frustrating tests—”Select all images with traffic lights” or “Type the letters you see in this box.”…
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Taiwan blocks Uber-Foodpanda merger over monopoly concerns
Taiwan blocks Uber-Foodpanda merger over monopoly concerns Taiwan has rejected ride-hailing giant Uber’s plan to buy Delivery Hero’s Foodpanda on the island, stating on Wednesday that the deal would significantly harm market competition. Go to techxplore
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The 69 Dumbest Moments of the Year: 2024 Crypto Edition
The 69 Dumbest Moments of the Year: 2024 Crypto Edition For crypto, 2024 was the best of times and the dumbest of times. Here are 69 of 420 dumbest moments of the year. Ryan Gladwin Go to decrypt.co
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Santa’s Crypto Naughty List 2024
Santa’s Crypto Naughty List 2024 From controversial founders to outright scammers, these seven crypto figures landed on Ol’ Saint Nick’s “naughty list” in 2024. Liz Napolitano Go to decrypt.co
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Santa’s Crypto Nice List 2024
Santa’s Crypto Nice List 2024 These seven crypto industry figures landed on Ol’ Saint Nick’s “nice list” for fostering trust in the future of crypto and blockchain networks. Liz Napolitano Go to decrypt.co
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Emerge’s 2024 Person of the Year: AI Visionary Yann LeCun
Emerge’s 2024 Person of the Year: AI Visionary Yann LeCun Yann LeCun’s opposition to AI fearmongering drives his vision for the future of artificial intelligence. Jason Nelson Go to decrypt.co
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Data-Driven Priors in the Maximum Entropy on the Mean Method for Linear Inverse Problems
Data-Driven Priors in the Maximum Entropy on the Mean Method for Linear Inverse Problems arXiv:2412.17916v1 Announce Type: new Abstract: We establish the theoretical framework for implementing the maximumn entropy on the mean (MEM) method for linear inverse problems in the setting of approximate (data-driven) priors. We prove a.s. convergence for empirical means and further develop…
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An information theoretic limit to data amplification
An information theoretic limit to data amplification arXiv:2412.18041v1 Announce Type: new Abstract: In recent years generative artificial intelligence has been used to create data to support science analysis. For example, Generative Adversarial Networks (GANs) have been trained using Monte Carlo simulated input and then used to generate data for the same problem. This has the…
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Heterogeneous transfer learning for high dimensional regression with feature mismatch
Heterogeneous transfer learning for high dimensional regression with feature mismatch arXiv:2412.18081v1 Announce Type: new Abstract: We consider the problem of transferring knowledge from a source, or proxy, domain to a new target domain for learning a high-dimensional regression model with possibly different features. Recently, the statistical properties of homogeneous transfer learning have been investigated. However,…
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Fr’echet regression for multi-label feature selection with implicit regularization
Fr’echet regression for multi-label feature selection with implicit regularization arXiv:2412.18247v1 Announce Type: new Abstract: Fr’echet regression extends linear regression to model complex responses in metric spaces, making it particularly relevant for multi-label regression, where each instance can have multiple associated labels. However, variable selection within this framework remains underexplored. In this paper, we pro pose…
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A Statistical Framework for Ranking LLM-Based Chatbots
A Statistical Framework for Ranking LLM-Based Chatbots arXiv:2412.18407v1 Announce Type: new Abstract: Large language models (LLMs) have transformed natural language processing, with frameworks like Chatbot Arena providing pioneering platforms for evaluating these models. By facilitating millions of pairwise comparisons based on human judgments, Chatbot Arena has become a cornerstone in LLM evaluation, offering rich datasets…
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Probability Distributions: Poisson vs. Binomial Distribution
Probability Distributions: Poisson vs. Binomial Distribution Using Soccer to Understand the Difference Between Poisson & Binomial: Probability for Data Science Series (3) Continue reading on Towards Data Science » Sunghyun Ahn Go to original source
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2024 Survival Guide for Machine Learning Engineer Interviews
2024 Survival Guide for Machine Learning Engineer Interviews A year-end summary for junior-level MLE interview preparation Job-seeking is hard! In today’s market, job-seeking for machine learning-related roles is more complex than ever. Even though public reports claim that the job demand for machine learning engineers (MLE) is fast growing, the fact is that the market has…
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A Bird’s-Eye View of Linear Algebra: Orthonormal Matrices
A Bird’s-Eye View of Linear Algebra: Orthonormal Matrices Orthonormal matrices: the most elegant matrices in all of linear algebra. Continue reading on Towards Data Science » Rohit Pandey Go to original source
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I’m Doing the Advent of Code 2024 in Python — Day 4
I’m Doing the Advent of Code 2024 in Python — Day 4 Let’s see how many stars we’ll collect. Continue reading on Towards Data Science » Soner Yıldırım Go to original source
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Design Patterns with Python for Machine Learning Engineers: Template Method
Design Patterns with Python for Machine Learning Engineers: Template Method Learn how to use the Template design pattern to enhance your code Continue reading on Towards Data Science » Marcello Politi Go to original source
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Sonar?s Tidelift Acquisition Bolsters Code Quality and Security for Open Source
Sonar?s Tidelift Acquisition Bolsters Code Quality and Security for Open Source Sonar, the code quality and security leader, sets its sights on Tidelift, a provider of software supply chain security solutions for mitigating open source software risk, having entered a definitive agreement for acquisition. With both companies propelled by a mission to improve the developer…
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New strategy significantly extends lithium-ion battery life by suppressing oxygen release
New strategy significantly extends lithium-ion battery life by suppressing oxygen release A research team has developed a strategy to enhance the durability of lithium-rich layered oxide (LLO) material, a next-generation cathode material for lithium-ion batteries (LIBs). This breakthrough, which significantly extends battery lifespan, was published in the journal Energy & Environmental Science. Go to techxplore
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Color shifts at nanoscale: Researchers develop real-time visualization system to observe stretchable technology
Color shifts at nanoscale: Researchers develop real-time visualization system to observe stretchable technology A research team at POSTECH has developed a breakthrough technology that analyzes in real-time the deformation of “serpentine” structures, a critical component of stretchable technology, and visualizes the process through color changes. Go to techxplore
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An AI system has reached human level on a test for ‘general intelligence’—here’s what that means
An AI system has reached human level on a test for ‘general intelligence’—here’s what that means A new artificial intelligence (AI) model has just achieved human-level results on a test designed to measure “general intelligence.” Go to techxplore
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Blogs to Bluesky: social media shifts responses after 2004 tsunami
Blogs to Bluesky: social media shifts responses after 2004 tsunami The world’s deadliest tsunami hit nations around the Indian Ocean two decades ago before social media platforms flourished, but they have since transformed how we understand and respond to disasters—from finding the missing to swift crowdfunding. Go to techxplore
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How Finnish youth learn to spot disinformation
How Finnish youth learn to spot disinformation Finland is consistently ranked as Europe’s most media-literate country and the skills needed to spot online hoaxes are on the school curriculum, amidst a boom of mis- and disinformation campaigns. Go to techxplore
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Another Publicly Traded Firm Just Adopted a Bitcoin Reserve Strategy
Another Publicly Traded Firm Just Adopted a Bitcoin Reserve Strategy Matador Technologies is following in MicroStrategy’s footsteps, sharing a board member with Japanese firm Metaplanet—another Bitcoin buyer. André Beganski Go to decrypt.co
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Crypto.com Launches Sports Prediction Market in US, Starting With Super Bowl
Crypto.com Launches Sports Prediction Market in US, Starting With Super Bowl Crypto.com customers in the U.S. can now bet on sports events using various cryptocurrencies, starting with “The Big Game.” Liz Napolitano Go to decrypt.co
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What is Grevm 1.0? The ‘Ultra-Fast’ Engine Powering Galxe’s Gravity Blockchain
What is Grevm 1.0? The ‘Ultra-Fast’ Engine Powering Galxe’s Gravity Blockchain Gravity’s new Grevm 1.0 is an EVM execution runtime that offers unique solutions to scaling Ethereum’s workload capacity. Will McCurdy Go to decrypt.co
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‘Santa Rally’ MIA as Bitcoin Falls to Lowest Price in a Month
‘Santa Rally’ MIA as Bitcoin Falls to Lowest Price in a Month A Fed-sparked market rout continued in the cryptosphere, denting investors’ hopes of a Santa Claus rally as Bitcoin sank further Monday. André Beganski Go to decrypt.co
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OpenAI’s o3 Hits Human-Level Scores, But Is It Good Enough to Be AGI?
OpenAI’s o3 Hits Human-Level Scores, But Is It Good Enough to Be AGI? OpenAI’s new o3 AI model achieved an unprecedented score on the “think like a human” benchmark, sparking a fierce debate over AGI or artificial general intelligence. Jose Antonio Lanz Go to decrypt.co
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Robust random graph matching in dense graphs via vector approximate message passing
Robust random graph matching in dense graphs via vector approximate message passing arXiv:2412.16457v1 Announce Type: new Abstract: In this paper, we focus on the matching recovery problem between a pair of correlated Gaussian Wigner matrices with a latent vertex correspondence. We are particularly interested in a robust version of this problem such that our observation…
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Fast Multi-Group Gaussian Process Factor Models
Fast Multi-Group Gaussian Process Factor Models arXiv:2412.16773v1 Announce Type: new Abstract: Gaussian processes are now commonly used in dimensionality reduction approaches tailored to neuroscience, especially to describe changes in high-dimensional neural activity over time. As recording capabilities expand to include neuronal populations across multiple brain areas, cortical layers, and cell types, interest in extending Gaussian…
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Gradient-Based Non-Linear Inverse Learning
Gradient-Based Non-Linear Inverse Learning arXiv:2412.16794v1 Announce Type: new Abstract: We study statistical inverse learning in the context of nonlinear inverse problems under random design. Specifically, we address a class of nonlinear problems by employing gradient descent (GD) and stochastic gradient descent (SGD) with mini-batching, both using constant step sizes. Our analysis derives convergence rates for…
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Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood arXiv:2412.17455v1 Announce Type: new Abstract: Gaussian process regression is a powerful Bayesian nonlinear regression method. Recent research has enabled the capture of many types of observations using non-Gaussian likelihoods. To deal with various tasks in spatial modeling, we benefit from this development. Difficulties still arise…
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Classifier-free guidance for LLMs performance enhancing
Classifier-free guidance for LLMs performance enhancing Classifier-Free Guidance for LLMs Performance Enhancing Check and improve classifier-free guidance for text generation large language models. While participating in NeurIPS 2024 Competitions track I was awarded the second prize in the LLM Privacy challenge. The solution I had used classifier-free guidance (CFG). I noticed that with high CFG guidance…
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How to Tackle an Optimization Problem with Constraint Programming
How to Tackle an Optimization Problem with Constraint Programming Case study: the travelling salesman problem TLDR Constraint Programming is a technique of choice for solving a Constraint Satisfaction Problem. In this article, we will see that it is also well suited to small to medium optimization problems. Using the well-known travelling salesman problem (TSP) as an…
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How to Clean Your Data for Your Real-Life Data Science Projects
How to Clean Your Data for Your Real-Life Data Science Projects How I treat missing values—with a quick Python Guide Continue reading on Towards Data Science » Mythili Krishnan Go to original source
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Adapted Prediction Intervals by Means of Conformal Predictions and a Custom Non-Conformity Score
Adapted Prediction Intervals by Means of Conformal Predictions and a Custom Non-Conformity Score How confident should I be in a machine learning model’s prediction for a new data point? Could I get a range of likely values? Image by author When working on a supervised task, machine learning models can be used to predict the outcome for…
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Surging AI development will heighten focus on data in 2025
Surging AI development will heighten focus on data in 2025 Go to techtarget
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6 trends that shaped data management, analytics in 2024
6 trends that shaped data management, analytics in 2024 Go to techtarget
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Vectra AI and Lumifi Collaborate to Strengthen Premium Security Services
Vectra AI and Lumifi Collaborate to Strengthen Premium Security Services Vectra AI, Inc., a leader in AI-driven XDR (extended detection and response), is partnering with Lumifi, a leading managed detection and response (MDR) technology company, now integrating Vectra AI Network Detection and Response (NDR) into Lumifi’s service offerings to provide customers with greater visibility into…
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New Product Integration Lends Salt Security?s Adaptive API Protection to CrowdStrike Falcon NG-SIEM
New Product Integration Lends Salt Security?s Adaptive API Protection to CrowdStrike Falcon NG-SIEM Salt Security, a leading API security company, is announcing a new collaboration with CrowdStrike that focuses on protecting APIs from evolving attacks while addressing the need for integrated security solutions. The companies’ product integration?which merges the strengths of the Salt Security API…
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Telegram founder says messaging app profitable for first time
Telegram founder says messaging app profitable for first time The founder and chief executive of the Telegram encrypted messaging app Pavel Durov said on Monday that the platform had recorded a net profit for the first time in 2024, with annual revenue exceeding $1 billion. Go to techxplore