不知道 不明了 不想要
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How Elon Musk $97.4 billion bid complicates matters for OpenAI
How Elon Musk $97.4 billion bid complicates matters for OpenAI OpenAI CEO Sam Altman has dismissed a $97.4 billion takeover bid led by rival Elon Musk, but the unsolicited offer could complicate Altman’s push to transform the maker of ChatGPT into a for-profit company. Go to techxplore
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Waste to wealth: Pomelo peel can be used for electricity generation and sensing devices
Waste to wealth: Pomelo peel can be used for electricity generation and sensing devices Pomelo is a large citrus fruit commonly grown in Southeast and East Asia. It has a very thick peel, which is typically discarded, resulting in a considerable amount of food waste. In a new study published in ACS Applied Materials &…
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Enterprise AI isn’t autopilot: it’s cruise control that CISOs need to steer
Enterprise AI isn’t autopilot: it’s cruise control that CISOs need to steer While the calendar might have ticked over, the speed on the AI hype train hasn’t slowed down. Large language models (LLMs), in particular, have captured the imagination of business leaders in a way not seen since the advent of the smartphone. As with…
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Ethereum NFT Project Goblintown Reveals ‘Really Hard Driving Game’
Ethereum NFT Project Goblintown Reveals ‘Really Hard Driving Game’ Endless runner game Goblintown: Really Hard Driving Game is coming to Steam and the Epic Games Store, but won’t have crypto integrations. Logan Hitchcock Go to decrypt.co
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Grayscale Seeks Cardano ETF Approval After Filing for Solana, XRP and Dogecoin Funds
Grayscale Seeks Cardano ETF Approval After Filing for Solana, XRP and Dogecoin Funds NYSE Arca has filed for a Cardano ETF on behalf of Grayscale, which already operates Bitcoin and Ethereum funds—and hopes to launch more. Jason Nelson Go to decrypt.co
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Solo Bitcoin Miner Beats the Odds, Scoring $310K BTC Reward
Solo Bitcoin Miner Beats the Odds, Scoring $310K BTC Reward It’s harder and harder for solo Bitcoin miners to successfully win a block, but they do hit the jackpot from time to time. Mathew Di Salvo Go to decrypt.co
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North Carolina Considers Bill to Invest Public Funds in Bitcoin ETFs
North Carolina Considers Bill to Invest Public Funds in Bitcoin ETFs North Carolina joins the trend of states considering investments into digital assets, only this bill is focused on Bitcoin ETFs. Liz Napolitano Go to decrypt.co
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Elon Musk-Led Group Offers to Buy OpenAI for $97.4 Billion
Elon Musk-Led Group Offers to Buy OpenAI for $97.4 Billion The tech billionaire’s latest unsolicited bid aims to put a wrench in Sam Altman’s plans to turn the AI powerhouse into a for-profit company. Jose Antonio Lanz Go to decrypt.co
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Online Covariance Estimation in Nonsmooth Stochastic Approximation
Online Covariance Estimation in Nonsmooth Stochastic Approximation arXiv:2502.05305v1 Announce Type: new Abstract: We consider applying stochastic approximation (SA) methods to solve nonsmooth variational inclusion problems. Existing studies have shown that the averaged iterates of SA methods exhibit asymptotic normality, with an optimal limiting covariance matrix in the local minimax sense of H’ajek and Le Cam.…
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dynoGP: Deep Gaussian Processes for dynamic system identification
dynoGP: Deep Gaussian Processes for dynamic system identification arXiv:2502.05620v1 Announce Type: new Abstract: In this work, we present a novel approach to system identification for dynamical systems, based on a specific class of Deep Gaussian Processes (Deep GPs). These models are constructed by interconnecting linear dynamic GPs (equivalent to stochastic linear time-invariant dynamical systems) and…
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On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers
On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers arXiv:2502.05672v1 Announce Type: new Abstract: This article provides a rigorous analysis of convergence and stability of Episodic Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning and Online Decision Transformers. These algorithms performed competitively across various benchmarks, from games to robotic tasks,…
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Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction arXiv:2502.05676v1 Announce Type: new Abstract: Ensuring model calibration is critical for reliable predictions, yet popular distribution-free methods, such as histogram binning and isotonic regression, provide only asymptotic guarantees. We introduce a unified framework for Venn and Venn-Abers calibration, generalizing Vovk’s binary classification approach to arbitrary…
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TD(0) Learning converges for Polynomial mixing and non-linear functions
TD(0) Learning converges for Polynomial mixing and non-linear functions arXiv:2502.05706v1 Announce Type: new Abstract: Theoretical work on Temporal Difference (TD) learning has provided finite-sample and high-probability guarantees for data generated from Markov chains. However, these bounds typically require linear function approximation, instance-dependent step sizes, algorithmic modifications, and restrictive mixing rates. We present theoretical findings for…
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Six Ways to Control Style and Content in Diffusion Models
Six Ways to Control Style and Content in Diffusion Models Stable Diffusion 1.5/2.0/2.1/XL 1.0, DALL-E, Imagen… In the past years, Diffusion Models have showcased stunning quality in image generation. However, while producing great quality on generic concepts, these struggle to generate high quality for more specialised queries, for example generating images in a specific style,…
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Hitachi Vantara Partners with Cisco to Launch New Solution for Red Hat OpenShift
Hitachi Vantara Partners with Cisco to Launch New Solution for Red Hat OpenShift Hitachi Vantara, the data storage, infrastructure and hybrid cloud management subsidiary of Hitachi, Ltd., is introducing a new co-engineered solution with Cisco designed for Red Hat OpenShift, the industry’s leading hybrid cloud application platform powered by Kubernetes. Go to dbta
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What?s Next in Data Engineering for 2025
What?s Next in Data Engineering for 2025 Experts joined DBTA’s webinar, Top Trends in Data Engineering for 2025, to explore the new trends and best practices shaping the future of engineering, from AI-driven tools to real-time data processing, new data architecture patterns, and more. Go to dbta
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Satori Updates Support Data Security for All Data From Production Databases To AI
Satori Updates Support Data Security for All Data From Production Databases To AI Satori, an industry-leading data security platform, is unveiling its new capabilities that enable security teams to control of all customer data across the development lifecycle in a simple, cost-effective, and holistic way?automating the daunting tasks of discovering data, risk assessment, providing granular…
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IBM Sets Sights on Acquisition of Applications Software Technology to Boost Oracle Expertise
IBM Sets Sights on Acquisition of Applications Software Technology to Boost Oracle Expertise IBM announced its intent to acquire Applications Software Technology LLC, a global Oracle consultancy?which would bring deep expertise driving business transformations with Oracle Cloud Applications, including for clients in the public sector such as local government and K-12 education. Go to dbta
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Emerald Announces Investment in NLM Photonics to Bolster Energy Efficient Data Center Technology
Emerald Announces Investment in NLM Photonics to Bolster Energy Efficient Data Center Technology Emerald, a global venture capital leader in industrial innovation, is investing in NLM Photonics to help bring energy-efficient, high performance electro-optic modulation technology to AI, data centers, quantum computing, and more. NLM, a semiconductor technology company, has developed breakthrough hybrid electro-optic photonic…
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Faster and higher-quality production of lithium superionic conductors for all-solid-state batteries
Faster and higher-quality production of lithium superionic conductors for all-solid-state batteries Dr. Ha Yoon-Cheol’s team at KERI’s Next Generation Battery Research Center has developed an “enhanced coprecipitation method” that enables faster and higher-quality production of lithium superionic conductors for all-solid-state batteries (ASSBs). ASSB replaces the “electrolyte,” which transfers ions between the anode and cathode, with…
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When your boss is an algorithm: Warehouse employees face new challenges and stress
When your boss is an algorithm: Warehouse employees face new challenges and stress The digital revolution has opened unimagined opportunities, but it comes with a threat of leaving the most vulnerable workers behind. Go to techxplore
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Electric vehicles yield fewer non-exhaust emissions than non-electric, study finds
Electric vehicles yield fewer non-exhaust emissions than non-electric, study finds No exhaust means no emissions, right? Not quite. It is commonly known that while electric vehicles do not produce tailpipe greenhouse gas emissions while driving, they do create debris from tire and brake abrasion. However, the degree to which they do and how that compares…
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Study finds skepticism towards AI in moral decision roles
Study finds skepticism towards AI in moral decision roles Psychologists warn that AI’s perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Go to techxplore
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Designing e-bike-friendly cities: Cycle lanes with minimal traffic impact
Designing e-bike-friendly cities: Cycle lanes with minimal traffic impact While cycling infrastructure promotes sustainability, health, and increased bike adoption, its implementation often sparks controversy due to the need to repurpose car lanes, parking spaces, or public transport routes. With a novel optimization approach that carefully balances the trade-off between bike and car travel times, bike…
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The digital horizon: tracking security trends
The digital horizon: tracking security trends Surging advances in artificial intelligence (AI), evolving infrastructure demands, intensifying cybersecurity challenges, shifting regulatory frameworks, and radical changes in how we connect and collaborate are all converging to define the Internet’s next frontier. None of these trends stand alone; each influences the others, creating a complex, interdependent ecosystem. This…
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Sparsity-Based Interpolation of External, Internal and Swap Regret
Sparsity-Based Interpolation of External, Internal and Swap Regret arXiv:2502.04543v1 Announce Type: new Abstract: Focusing on the expert problem in online learning, this paper studies the interpolation of several performance metrics via $phi$-regret minimization, which measures the performance of an algorithm by its regret with respect to an arbitrary action modification rule $phi$. With $d$ experts…
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Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond
Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond arXiv:2502.04575v1 Announce Type: new Abstract: Given an unnormalized probability density $piproptomathrm{e}^{-V}$, estimating its normalizing constant $Z=int_{mathbb{R}^d}mathrm{e}^{-V(x)}mathrm{d}x$ or free energy $F=-log Z$ is a crucial problem in Bayesian statistics, statistical mechanics, and machine learning. It is challenging especially in high dimensions…
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Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect arXiv:2502.04673v1 Announce Type: new Abstract: Estimation and inference for the Average Treatment Effect (ATE) is a cornerstone of causal inference and often serves as the foundation for developing procedures for more complicated settings. Although traditionally analyzed in a batch setting, recent advances in martingale theory…
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PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders arXiv:2502.04730v1 Announce Type: new Abstract: Learning informative representations of phylogenetic tree structures is essential for analyzing evolutionary relationships. Classical distance-based methods have been widely used to project phylogenetic trees into Euclidean space, but they are often sensitive to the choice of distance metric and may lack…
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Weekly Entering & Transitioning – Thread 10 Feb, 2025 – 17 Feb, 2025
Weekly Entering & Transitioning – Thread 10 Feb, 2025 – 17 Feb, 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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Elon Musk says has no plans to acquire TikTok’s US operations
Elon Musk says has no plans to acquire TikTok’s US operations Elon Musk, the world’s richest person and a top advisor to US President Donald Trump, said he has no interest in acquiring social media platform TikTok’s operations in the United States, in comments released Saturday. Go to techxplore
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PlayStation Network back online after 24-hour outage
PlayStation Network back online after 24-hour outage Sony PlayStation’s online services came back online on Saturday, the Japanese group said, after a 24-hour outage frustrated gamers around the world. Go to techxplore
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Musk risks putting EU buyers off Tesla: analysts
Musk risks putting EU buyers off Tesla: analysts Elon Musk’s rapprochement with US President Donald Trump, his backing of European far-right parties and attacks on diversity policies could drive European buyers away from Tesla, analysts say. Go to techxplore
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Braze opens ANZ headquarters in Sydney
Braze opens ANZ headquarters in Sydney Marketing and customer engagement platform provider Braze has opened a new ANZ headquarters in Sydney and launched a data centre based in the city to support its expansion in the region. The new headquarters in the Sydney CBD has been opened following the scaling of the company’s ANZ-based team…
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‘Augmented Intelligence’: Christie’s Reveals First Auction Dedicated to AI Art
‘Augmented Intelligence’: Christie’s Reveals First Auction Dedicated to AI Art The Christie’s auction kicks off on February 20 and features works from artists including Refik Anadol, Pinar Van Arman, and Claire Silver. Sander Lutz Go to decrypt.co
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The Hero Shooter Genre Is Booming—Does ‘Shatterline’ Stand Out?
The Hero Shooter Genre Is Booming—Does ‘Shatterline’ Stand Out? Shatterline has solid fundamentals for a first-person hero shooter, but this crypto-infused game is overshadowed by genre giants. Ryan Gladwin Go to decrypt.co
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Why This ETF Issuer Won’t Touch Dogecoin Amid Solana and XRP Fund Plans
Why This ETF Issuer Won’t Touch Dogecoin Amid Solana and XRP Fund Plans Canary Capital CEO Steven McClurg said his firm has no plans to offer a Dogecoin ETF, despite expectations of potential approvals this year. Liz Napolitano Go to decrypt.co
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Is DOGE a cybersecurity threat? A security expert explains the dangers of violating protocols and regulations
Is DOGE a cybersecurity threat? A security expert explains the dangers of violating protocols and regulations The Department of Government Efficiency (DOGE), President Donald Trump’s special commission tasked with slashing federal spending, continues to disrupt Washington and the federal bureaucracy. According to published reports, its teams are dropping into federal agencies with a practically unlimited…
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How AI can help in the creative design process
How AI can help in the creative design process Generative artificial intelligence tools can help design students by making hard tasks easier, cutting down on stress, and allowing the students more time to explore innovative ideas, according to new research I published with my colleagues in the International Journal of Architectural Computing. Go to techxplore
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Solar homes shine in summer, struggle in winter blackouts
Solar homes shine in summer, struggle in winter blackouts As winter storms and summer heat waves increasingly stress the nation’s power grids, Stevens researchers have developed a new way to identify the homes most vulnerable to blackouts—without even visiting them. Go to techxplore
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Sony PlayStation Network outage enrages gamers around the world
Sony PlayStation Network outage enrages gamers around the world A major outage of Sony’s PlayStation Network (PSN) on Saturday has left tens of thousands of gamers unable to access online services, stores and multimedia apps. Go to techxplore
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Airbus and Boeing eye India’s ‘soaring skies’
Airbus and Boeing eye India’s ‘soaring skies’ Air traffic is booming in India, even though only a tiny fraction of its people fly each year, and manufacturers are seeking lucrative deals at the flagship Aero India exhibition from Monday. Go to techxplore
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Parents of Dead OpenAI Whistleblower Sue San Francisco, Alleging Murder Cover-Up
Parents of Dead OpenAI Whistleblower Sue San Francisco, Alleging Murder Cover-Up The family of Suchir Balaji say he was murdered and didn’t kill himself. Now they’ve sued San Francisco and its police department. Jason Nelson Go to decrypt.co
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Kentucky and Maryland Are the Latest States to Consider Bitcoin Reserve Bills
Kentucky and Maryland Are the Latest States to Consider Bitcoin Reserve Bills Maryland and Kentucky this week joined a growing list of U.S. states mulling Bitcoin as a way to strengthen their reserves. André Beganski Go to decrypt.co
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B3 Ethereum Gaming Chain Launching Token Airdrop on Base Next Week
B3 Ethereum Gaming Chain Launching Token Airdrop on Base Next Week The B3 token for the gaming network of the same name—a layer-3 chain on top of Ethereum’s Base—is launching on Monday with an airdrop. Andrew Hayward Go to decrypt.co
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Telegram Game ‘TapSwap’ Dumps TON for BNB Chain Ahead of Airdrop
Telegram Game ‘TapSwap’ Dumps TON for BNB Chain Ahead of Airdrop TapSwap will launch its TAPS token on BNB Chain rather than The Open Network, following a TON exclusivity pact with the messaging platform. Logan Hitchcock Go to decrypt.co
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Dave Portnoy Is Trading Solana Meme Coins and Just Doxxed His Wallet: ‘I’m Not Trying to Be Shady’
Dave Portnoy Is Trading Solana Meme Coins and Just Doxxed His Wallet: ‘I’m Not Trying to Be Shady’ The Barstool Sports founder is in the trenches with Solana meme coin degens, and just milked them for close to $70K in profit in two trades. Logan Hitchcock Go to decrypt.co
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The Gamma Hurdle Distribution
The Gamma Hurdle Distribution Which Outcome Matters? Here is a common scenario : An A/B test was conducted, where a random sample of units (e.g. customers) were selected for a campaign and they received Treatment A. Another sample was selected to receive Treatment B. “A” could be a communication or offer and “B” could be…
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Triangle Forecasting: Why Traditional Impact Estimates Are Inflated (And How to Fix Them)
Triangle Forecasting: Why Traditional Impact Estimates Are Inflated (And How to Fix Them) Accurate impact estimations can make or break your business case. Yet, despite its importance, most teams use oversimplified calculations that can lead to inflated projections. These shot-in-the-dark numbers not only destroy credibility with stakeholders but can also result in misallocation of resources and…
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I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape Rooms
I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape Rooms Recently, DeepSeek announced their latest model, R1, and article after article came out praising its performance relative to cost, and how the release of such open-source models could genuinely change the course of LLMs forever. That is really exciting! And also, too…
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Synthetic Data Generation with LLMs
Synthetic Data Generation with LLMs Popularity of RAG Over the past two years while working with financial firms, I’ve observed firsthand how they identify and prioritize Generative AI use cases, balancing complexity with potential value. Retrieval-Augmented Generation (RAG) often stands out as a foundational capability across many LLM-driven solutions, striking a balance between ease of implementation…
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The Method of Moments Estimator for Gaussian Mixture Models
The Method of Moments Estimator for Gaussian Mixture Models Audio Processing is one of the most important application domains of digital signal processing (DSP) and machine learning. Modeling acoustic environments is an essential step in developing digital audio processing systems such as: speech recognition, speech enhancement, acoustic echo cancellation, etc. Acoustic environments are filled with background…
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Video marketing SEO: How to rank on search engines
Video marketing SEO: How to rank on search engines Go to techtarget
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What is social media analytics?
What is social media analytics? Go to techtarget
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Submit Nominations Now for DBTA?s Readers? Choice Awards
Submit Nominations Now for DBTA?s Readers? Choice Awards Submissions for nominations are now open for the annual Database Trends and Applications Readers’ Choice Awards, a competition in which the winning information management solutions, products, and services are selected by you, the users.The nominations period is open through March 7, 2025, and will be followed by…
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Turn/River Capital Acquires SolarWinds in $4.4 Billion Deal
Turn/River Capital Acquires SolarWinds in $4.4 Billion Deal SolarWinds Corporation, a leading provider of simple, powerful, secure observability and IT management software, announced that it has entered into a definitive agreement to be acquired by Turn/River Capital in an all-cash transaction for $18.50 per share or approximately $4.4 billion. Go to dbta
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AI model masters new terrain at NASA facility one scoop at a time
AI model masters new terrain at NASA facility one scoop at a time Extraterrestrial landers sent to gather samples from the surface of distant moons and planets have limited time and battery power to complete their mission. Aerospace and computer science engineering researchers at The Grainger College of Engineering, University of Illinois Urbana-Champaign trained a…
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OpenAI’s Altman warns EU regulation may hold Europe back
OpenAI’s Altman warns EU regulation may hold Europe back OpenAI chief Sam Altman on Friday suggested European regulation could hold back the development of artificial intelligence (AI), while promising the US company would abide by new EU legislation. Go to techxplore
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X-ray study sheds light on cost-effective fuel cell material that could rival platinum
X-ray study sheds light on cost-effective fuel cell material that could rival platinum Cornell researchers have captured an unprecedented, real-time view of how a promising catalyst material transforms during operation, providing new insights that could lead to replacement of expensive precious metals in clean-energy technologies. Go to techxplore
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Taking the ‘forever’ out of ‘forever chemicals’: Scientists work out how to destroy the PFAS in batteries
Taking the ‘forever’ out of ‘forever chemicals’: Scientists work out how to destroy the PFAS in batteries Lithium-ion batteries are part of everyday life. They power small rechargeable devices such as mobile phones and laptops. They enable electric vehicles. And larger versions store excess renewable energy for later use, supporting the clean energy transition. Go…
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One step closer to the green hydrogen era: New material boosts production efficiency and reduces costs
One step closer to the green hydrogen era: New material boosts production efficiency and reduces costs Researchers in Korea have successfully developed a new material that significantly enhances the efficiency of green hydrogen production while reducing costs. Go to techxplore
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Sony’s Soneium Releases First Music NFT Collection With Coop Records’ NUU$HI Drop
Sony’s Soneium Releases First Music NFT Collection With Coop Records’ NUU$HI Drop Sony’s blockchain platform is debuting its first music release with Coop Records, but questions remain over mainstream viability. Sebastian Sinclair Go to decrypt.co
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Cboe Pushes for Four Fresh XRP ETFs as Crypto Market Cools
Cboe Pushes for Four Fresh XRP ETFs as Crypto Market Cools To address regulatory concerns, asset managers are proposing safeguards where they will source XRP from secondary markets. Vince Dioquino Go to decrypt.co
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Ethereum Card Game ‘Gods Unchained’ Launches Battle Pass Ahead of Next Expansion
Ethereum Card Game ‘Gods Unchained’ Launches Battle Pass Ahead of Next Expansion Card-battler Gods Unchained on Ethereum network Immutable zkEVM has launched its first battle pass with optional premium rewards. Logan Hitchcock Go to decrypt.co
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Ondo Finance Reveals Chain Launch Plans as Trump-Linked Project Buys a Bundle of Tokens
Ondo Finance Reveals Chain Launch Plans as Trump-Linked Project Buys a Bundle of Tokens Ondo Finance revealed plans to launch a chain for tokenizing real-world assets, with Donald Trump Jr. appearing at its Thursday event. Mathew Di Salvo Go to decrypt.co
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Hawk Tuah Girl Posts, Then Deletes Podcast With Crypto Influencers—What’s Going On?
Hawk Tuah Girl Posts, Then Deletes Podcast With Crypto Influencers—What’s Going On? Haliey Welch, the “Hawk Tuah girl,” is back to explain her meme coin mess—only the episode is MIA, and the guest is alleging shenanigans. Andrew Hayward Go to decrypt.co
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Two in context learning tasks with complex functions
Two in context learning tasks with complex functions arXiv:2502.03503v1 Announce Type: new Abstract: We examine two in context learning (ICL) tasks with mathematical functions in several train and test settings for transformer models. Our study generalizes work on linear functions by showing that small transformers, even models with attention layers only, can approximate arbitrary polynomial…
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Online Learning Algorithms in Hilbert Spaces with $beta-$ and $phi-$Mixing Sequences
Online Learning Algorithms in Hilbert Spaces with $beta-$ and $phi-$Mixing Sequences arXiv:2502.03551v1 Announce Type: new Abstract: In this paper, we study an online algorithm in a reproducing kernel Hilbert spaces (RKHS) based on a class of dependent processes, called the mixing process. For such a process, the degree of dependence is measured by various mixing…
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Multivariate Conformal Prediction using Optimal Transport
Multivariate Conformal Prediction using Optimal Transport arXiv:2502.03609v1 Announce Type: new Abstract: Conformal prediction (CP) quantifies the uncertainty of machine learning models by constructing sets of plausible outputs. These sets are constructed by leveraging a so-called conformity score, a quantity computed using the input point of interest, a prediction model, and past observations. CP sets are…
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Rule-based Evolving Fuzzy System for Time Series Forecasting: New Perspectives Based on Type-2 Fuzzy Sets Measures Approach
Rule-based Evolving Fuzzy System for Time Series Forecasting: New Perspectives Based on Type-2 Fuzzy Sets Measures Approach arXiv:2502.03650v1 Announce Type: new Abstract: Real-world data contain uncertainty and variations that can be correlated to external variables, known as randomness. An alternative cause of randomness is chaos, which can be an important component of chaotic time series.…
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Guiding Two-Layer Neural Network Lipschitzness via Gradient Descent Learning Rate Constraints
Guiding Two-Layer Neural Network Lipschitzness via Gradient Descent Learning Rate Constraints arXiv:2502.03792v1 Announce Type: new Abstract: We demonstrate that applying an eventual decay to the learning rate (LR) in empirical risk minimization (ERM), where the mean-squared-error loss is minimized using standard gradient descent (GD) for training a two-layer neural network with Lipschitz activation functions, ensures…
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How to Create Network Graph Visualizations in Microsoft PowerBI
How to Create Network Graph Visualizations in Microsoft PowerBI Microsoft PowerBI is a one of the most popular Business Intelligence (BI) tools, and while it has all the features you need to create dynamic analytic reporting for stakeholders across the business, creating some advanced data visualizations is more challenging. This article will walk through how…
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Efficient Metric Collection in PyTorch: Avoiding the Performance Pitfalls of TorchMetrics
Efficient Metric Collection in PyTorch: Avoiding the Performance Pitfalls of TorchMetrics Metric collection is an essential part of every machine learning project, enabling us to track model performance and monitor training progress. Ideally, Metrics should be collected and computed without introducing any additional overhead to the training process. However, just like other components of the…
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Introduction to Minimum Cost Flow Optimization in Python
Introduction to Minimum Cost Flow Optimization in Python Minimum cost flow optimization minimizes the cost of moving flow through a network of nodes and edges. Nodes include sources (supply) and sinks (demand), with different costs and capacity limits. The aim is to find the least costly way to move volume from sources to sinks while…
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A Visual Guide to How Diffusion Models Work
A Visual Guide to How Diffusion Models Work This article is aimed at those who want to understand exactly how Diffusion Models work, with no prior knowledge expected. I’ve tried to use illustrations wherever possible to provide visual intuitions on each part of these models. I’ve kept mathematical notation and equations to a minimum, and where…
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Super Bowl teams show analytics gaining ground in NFL
Super Bowl teams show analytics gaining ground in NFL Go to techtarget
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Databricks’ acquisition of BladeBridge boosts data migration
Databricks’ acquisition of BladeBridge boosts data migration Go to techtarget
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Appfire Acquires Flow to Offer Software Engineering Intelligence Capabilities
Appfire Acquires Flow to Offer Software Engineering Intelligence Capabilities Appfire, the leading global provider of software that enhances, extends, and connects the world’s leading platforms, is acquiring Flow, a market-leading enterprise software product for Software Engineering Intelligence (SEI), from Pluralsight. Go to dbta
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Quest Introduces Identity Security and Ransomware Recovery Advancements to Disrupt Emerging Threats and Mitigate Attacks
Quest Introduces Identity Security and Ransomware Recovery Advancements to Disrupt Emerging Threats and Mitigate Attacks Quest Software, a global leader in AI-powered cybersecurity, data management, and migration, is offering the next iteration of Identity Threat Detection and Response (ITDR) and disaster recovery to challenge outdated models and set new standards for proactive defense and rapid…
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Sustainable SOT-MRAM memory technology could replace cache memory in computer architecture in the future
Sustainable SOT-MRAM memory technology could replace cache memory in computer architecture in the future How much energy is consumed each time we upload an image to social media, which relies on data centers and cloud storage? Data centers currently account for about 1% of global energy consumption, amounting to 200 terawatt-hours of electricity annually. This…
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AI-powered method improves reliability of next-generation networks
AI-powered method improves reliability of next-generation networks As 5G and 6G networks expand, they promise a future of incredibly fast and reliable wireless connections. A key technology behind this is millimeter-wave (mmWave), which uses very high-frequency radio waves to transmit huge amounts of data. To make the most of mmWave, networks use large groups of…
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Self-powered graphene smart sensor takes the pain out of wound monitoring
Self-powered graphene smart sensor takes the pain out of wound monitoring A major challenge in self-powered wearable sensors for health care monitoring is distinguishing different signals when they occur at the same time. Researchers from Penn State and China’s Hebei University of Technology have addressed this issue by uncovering a new property of a sensor…
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Ronaldo’s Siuuu celebration: Whole-body training model allows robots to mimic famous athlete moves
Ronaldo’s Siuuu celebration: Whole-body training model allows robots to mimic famous athlete moves A team of AI and robotics researchers at Carnegie Mellon University, working with a pair of colleagues from technology company NVIDIA, has developed a new model for training robots to move like human athletes. Go to techxplore
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Explainable AI can enhance deepfake detection transparency
Explainable AI can enhance deepfake detection transparency A new study by SRH University emphasizes the benefits of explainable AI systems for the reliable and transparent detection of deepfakes. AI decisions can be presented in a comprehensible way through feature analyses and visualizations, thus promoting trust in AI technologies. Go to techxplore
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Public Citizen Files Complaint Over Trump’s Meme Coin, Cites Foreign Payment Risks
Public Citizen Files Complaint Over Trump’s Meme Coin, Cites Foreign Payment Risks The US nonprofit watchdog is recommending a termination of TRUMP token sales and a return of funds to investors. Vince Dioquino Go to decrypt.co
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CFTC to Review Prediction Markets in Public Roundtable
CFTC to Review Prediction Markets in Public Roundtable The CFTC’s roundtable review is expected to influence both centralized and blockchain-based prediction markets. Sebastian Sinclair Go to decrypt.co
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Streamers Adin Ross and FaZe Banks Plan Crypto ‘GTA 6’ Server—Would It Be Banned?
Streamers Adin Ross and FaZe Banks Plan Crypto ‘GTA 6’ Server—Would It Be Banned? Adin Ross and FaZe Banks want to create a crypto-fueled GTA 6 server built around a new coin—but history suggests Rockstar won’t allow it. Ryan Gladwin Go to decrypt.co
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Nintendo Switch 2 Preview: Everything You Need to Know
Nintendo Switch 2 Preview: Everything You Need to Know UPDATE: We now have both a date and time for the upcoming Nintendo Switch 2 livestream, plus EA and Microsoft plan to support the console. Andrew Hayward Go to decrypt.co
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Super Bowl Sweepstakes: Perplexity AI’s Million Dollar Question
Super Bowl Sweepstakes: Perplexity AI’s Million Dollar Question AI search upstart, Perplexity, is throwing serious cash at a Super Bowl contest in the hopes of wooing new users. Jose Antonio Lanz Go to decrypt.co
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Networks with Finite VC Dimension: Pro and Contra
Networks with Finite VC Dimension: Pro and Contra arXiv:2502.02679v1 Announce Type: new Abstract: Approximation and learning of classifiers of large data sets by neural networks in terms of high-dimensional geometry and statistical learning theory are investigated. The influence of the VC dimension of sets of input-output functions of networks on approximation capabilities is compared with…
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Achievable distributional robustness when the robust risk is only partially identified
Achievable distributional robustness when the robust risk is only partially identified arXiv:2502.02710v1 Announce Type: new Abstract: In safety-critical applications, machine learning models should generalize well under worst-case distribution shifts, that is, have a small robust risk. Invariance-based algorithms can provably take advantage of structural assumptions on the shifts when the training distributions are heterogeneous enough…
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Gap-Dependent Bounds for Federated $Q$-learning
Gap-Dependent Bounds for Federated $Q$-learning arXiv:2502.02859v1 Announce Type: new Abstract: We present the first gap-dependent analysis of regret and communication cost for on-policy federated $Q$-Learning in tabular episodic finite-horizon Markov decision processes (MDPs). Existing FRL methods focus on worst-case scenarios, leading to $sqrt{T}$-type regret bounds and communication cost bounds with a $log T$ term scaling…
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Algorithms with Calibrated Machine Learning Predictions
Algorithms with Calibrated Machine Learning Predictions arXiv:2502.02861v1 Announce Type: new Abstract: The field of algorithms with predictions incorporates machine learning advice in the design of online algorithms to improve real-world performance. While this theoretical framework often assumes uniform reliability across all predictions, modern machine learning models can now provide instance-level uncertainty estimates. In this paper,…
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Uncertainty Quantification with the Empirical Neural Tangent Kernel
Uncertainty Quantification with the Empirical Neural Tangent Kernel arXiv:2502.02870v1 Announce Type: new Abstract: While neural networks have demonstrated impressive performance across various tasks, accurately quantifying uncertainty in their predictions is essential to ensure their trustworthiness and enable widespread adoption in critical systems. Several Bayesian uncertainty quantification (UQ) methods exist that are either cheap or reliable,…
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Myths vs. Data: Does an Apple a Day Keep the Doctor Away?
Myths vs. Data: Does an Apple a Day Keep the Doctor Away? Introduction “Money can’t buy happiness.” “You can’t judge a book by its cover.” “An apple a day keeps the doctor away.” You’ve probably heard these sayings several times, but do they actually hold up when we look at the data? In this article series,…
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Training Large Language Models: From TRPO to GRPO
Training Large Language Models: From TRPO to GRPO Deepseek has recently made quite a buzz in the AI community, thanks to its impressive performance at relatively low costs. I think this is a perfect opportunity to dive deeper into how Large Language Models (LLMs) are trained. In this article, we will focus on the Reinforcement Learning…
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Supercharge Your RAG with Multi-Agent Self-RAG
Supercharge Your RAG with Multi-Agent Self-RAG Introduction Many of us might have tried to build a RAG application and noticed it falls significantly short of addressing real-life needs. Why is that? It’s because many real-world problems require multiple steps of information retrieval and reasoning. We need our agent to perform those as humans normally do,…
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Rise with SAP will extend support deadline — for some
Rise with SAP will extend support deadline — for some Go to techtarget
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What is SAP S/4HANA?
What is SAP S/4HANA? Go to techtarget