不知道 不明了 不想要
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Bitcoin and Ethereum ETFs Add Billions Amid Record Week: CoinShares
Bitcoin and Ethereum ETFs Add Billions Amid Record Week: CoinShares The U.S. has now cemented itself as the primary market for digital asset investment products, while Switzerland trails far behind. Connor Sephton Go to decrypt.co
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Meet AI16z DAO: An AI-Based Investment Project That Aims to Upend Silicon Valley
Meet AI16z DAO: An AI-Based Investment Project That Aims to Upend Silicon Valley AI16z DAO claims to be changing how crypto communities invest, govern, and operate, leveraging AI for data-driven financial decisions. Jose Antonio Lanz Go to decrypt.co
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Google’s New Willow Chip Accelerates Time to Market for Quantum Computing, Experts Say
Google’s New Willow Chip Accelerates Time to Market for Quantum Computing, Experts Say Google claims its new quantum chip introduces groundbreaking error correction, advancing reliability and practicality. Jason Nelson Go to decrypt.co
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Why This Investment Bank Expects Coinbase Stock to Jump to New High of $420
Why This Investment Bank Expects Coinbase Stock to Jump to New High of $420 Coinbase trading volumes are surging, but will they eclipse levels seen in 2021 and what effect does it have on its share price? André Beganski Go to decrypt.co
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Mobile Shoot ‘Em Up Game ‘Zoppel’ Launching on Ethereum Network Skale
Mobile Shoot ‘Em Up Game ‘Zoppel’ Launching on Ethereum Network Skale Zoppel: The Legend of Furiax is the first of several games coming to the Ethereum network with the support of Skale Labs and Sequence. Andrew Hayward Go to decrypt.co
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Ranking of Large Language Model with Nonparametric Prompts
Ranking of Large Language Model with Nonparametric Prompts arXiv:2412.05506v1 Announce Type: new Abstract: We consider the inference for the ranking of large language models (LLMs). Alignment arises as a big challenge to mitigate hallucinations in the use of LLMs. Ranking LLMs has been shown as a well-performing tool to improve alignment based on the best-of-$N$…
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Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models arXiv:2412.05723v1 Announce Type: new Abstract: Estimating the uncertainty of responses of Large Language Models~(LLMs) remains a critical challenge. While recent Bayesian methods have demonstrated effectiveness in quantifying uncertainty through low-rank weight updates, they typically require complex fine-tuning or post-training procedures. In this paper, we propose Training-Free…
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Proximal Iteration for Nonlinear Adaptive Lasso
Proximal Iteration for Nonlinear Adaptive Lasso arXiv:2412.05726v1 Announce Type: new Abstract: Augmenting a smooth cost function with an $ell_1$ penalty allows analysts to efficiently conduct estimation and variable selection simultaneously in sophisticated models and can be efficiently implemented using proximal gradient methods. However, one drawback of the $ell_1$ penalty is bias: nonzero parameters are underestimated…
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Leveraging Black-box Models to Assess Feature Importance in Unconditional Distribution
Leveraging Black-box Models to Assess Feature Importance in Unconditional Distribution arXiv:2412.05759v1 Announce Type: new Abstract: Understanding how changes in explanatory features affect the unconditional distribution of the outcome is important in many applications. However, existing black-box predictive models are not readily suited for analyzing such questions. In this work, we develop an approximation method to…
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Reinforcement Learning for a Discrete-Time Linear-Quadratic Control Problem with an Application
Reinforcement Learning for a Discrete-Time Linear-Quadratic Control Problem with an Application arXiv:2412.05906v1 Announce Type: new Abstract: We study the discrete-time linear-quadratic (LQ) control model using reinforcement learning (RL). Using entropy to measure the cost of exploration, we prove that the optimal feedback policy for the problem must be Gaussian type. Then, we apply the results…
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The Case Against Centralized Medallion Architecture
The Case Against Centralized Medallion Architecture Why tailored, decentralized data quality trumps the medallion architecture Continue reading on Towards Data Science » Bernd Wessely Go to original source
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Uncertainty Quantification in Time Series Forecasting
Uncertainty Quantification in Time Series Forecasting A deep dive into EnbPI, a Conformal Prediction approach for time series forecasting Continue reading on Towards Data Science » Jonte Dancker Go to original source
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How to Evaluate Multilingual LLMs With Global-MMLU
How to Evaluate Multilingual LLMs With Global-MMLU Evaluation of language-specific LLM accuracy on the global Massive Multitask Language Understanding benchmark in Python Continue reading on Towards Data Science » Dr. Leon Eversberg Go to original source
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Here’s What I Learned About Information Theory Through Wordle
Here’s What I Learned About Information Theory Through Wordle The Science Behind Better Guesses Continue reading on Towards Data Science » Saankhya Mondal Go to original source
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Why Data Scientists Need These Software Engineering Skills
Why Data Scientists Need These Software Engineering Skills Learn these things to become a more well-rounded data scientist Continue reading on Towards Data Science » Egor Howell Go to original source
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Top 7 data preparation challenges and how to overcome them
Top 7 data preparation challenges and how to overcome them Go to techtarget
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Alteryx names new CEO amid ongoing change
Alteryx names new CEO amid ongoing change Go to techtarget
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OpenText and Secure Code Warrior?s Partnership Drives Developer Upskilling and True DevSecOps
OpenText and Secure Code Warrior?s Partnership Drives Developer Upskilling and True DevSecOps OpenText, a leading information management software and services company, is announcing a strategic partnership with Secure Code Warrior, a secure coding platform that sets the standards that keep our digital world safe. Aiming to power DecSecOps practices for a variety of organizations, this…
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New Tenable Capabilities Drive Contextual, Accurate Risk Prioritization
New Tenable Capabilities Drive Contextual, Accurate Risk Prioritization Tenable, the exposure management company, is debuting a series of new enhancements for Tenable Security Center, the world’s #1 vulnerability management solution managed on-prem. Designed to promote exposure comprehension and overall visibility, the new features?vulnerability intelligence, risk prioritization, and web application scanning?forward a contextual, risk-based view of…
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Cirata Expands Databricks Partnership to Facilitate Seamless Cloud Migration and Modernization
Cirata Expands Databricks Partnership to Facilitate Seamless Cloud Migration and Modernization Cirata, the company that automates Hadoop data transfer and integration to modern cloud analytics and AI platforms, is announcing an expansion of its partnership with Databricks, the data and AI company, with the aim of accelerating data migration and modernization in the cloud. By…
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2025: The Year of Sustainable Data Centers? 5 Predictions for the Data Center Space
2025: The Year of Sustainable Data Centers? 5 Predictions for the Data Center Space Data Centers are the focus of increased scrutiny and renewed interest as more and more power consumption and resource statistics show eye-popping figures. A significant aspect of energy consumption is dedicated to data center cooling systems, which are crucial for maintaining…
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2025: The Year of Sustainable Data Centers? 5 Predictions for the Data Center Space
2025: The Year of Sustainable Data Centers? 5 Predictions for the Data Center Space Data Centers are the focus of increased scrutiny and renewed interest as more and more power consumption and resource statistics show eye-popping figures. A significant aspect of energy consumption is dedicated to data center cooling systems, which are crucial for maintaining…
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A cyborg cockroach factory: Automated assembly speeds up the creation of hybrid robots
A cyborg cockroach factory: Automated assembly speeds up the creation of hybrid robots A team of mechanical engineers at Nanyang Technological University, in Singapore, has developed a way to automate the process of merging live cockroaches and electronics to create cyborg cockroaches, greatly speeding up the process. In their study, available on the arXiv preprint…
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By tweaking materials, scientists create transistors that remember
By tweaking materials, scientists create transistors that remember A team of Johns Hopkins materials scientists made a surprising discovery that could change the way memory works in electronics. By tweaking the materials used in organic material-based logic switches called transistors, they created a new kind of memristor—devices that can remember past charging states when a…
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Google announces quantum computing chip breakthrough
Google announces quantum computing chip breakthrough Google on Monday showed off a new quantum computing chip that it said was a major breakthrough that could bring practical quantum computing closer to reality. Go to techxplore
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New type of battery could outlast EVs and still be used for grid energy storage
New type of battery could outlast EVs and still be used for grid energy storage There’s a big push underway to increase the lifespan of lithium-ion batteries powering EVs on the road today. By law, in the US, these cells must be able to hold 80% of their original full charge after eight years of…
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Employee visits to adult or gambling sites doubles risk of infection by malware, cybersecurity study finds
Employee visits to adult or gambling sites doubles risk of infection by malware, cybersecurity study finds Malware (malicious software) is a worldwide threat to network security for organizations. Individual users within those networks may inadvertently download or interact with malware like viruses and ransomware by browsing unsafe websites, downloading software, or clicking on phishing links…
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The Polynomial Stein Discrepancy for Assessing Moment Convergence
The Polynomial Stein Discrepancy for Assessing Moment Convergence arXiv:2412.05135v1 Announce Type: new Abstract: We propose a novel method for measuring the discrepancy between a set of samples and a desired posterior distribution for Bayesian inference. Classical methods for assessing sample quality like the effective sample size are not appropriate for scalable Bayesian sampling algorithms, such…
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Semiparametric Bayesian Difference-in-Differences
Semiparametric Bayesian Difference-in-Differences arXiv:2412.04605v1 Announce Type: cross Abstract: This paper studies semiparametric Bayesian inference for the average treatment effect on the treated (ATT) within the difference-in-differences research design. We propose two new Bayesian methods with frequentist validity. The first one places a standard Gaussian process prior on the conditional mean function of the control group.…
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Disentangled Representation Learning for Causal Inference with Instruments
Disentangled Representation Learning for Causal Inference with Instruments arXiv:2412.04641v1 Announce Type: cross Abstract: Latent confounders are a fundamental challenge for inferring causal effects from observational data. The instrumental variable (IV) approach is a practical way to address this challenge. Existing IV based estimators need a known IV or other strong assumptions, such as the existence…
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Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise arXiv:2412.04648v1 Announce Type: cross Abstract: Recorrupted-to-Recorrupted (R2R) has emerged as a methodology for training deep networks for image restoration in a self-supervised manner from noisy measurement data alone, demonstrating equivalence in expectation to the supervised squared loss in the case of Gaussian noise. However, its effectiveness with non-Gaussian…
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Modeling High-Dimensional Dependent Data in the Presence of Many Explanatory Variables and Weak Signals
Modeling High-Dimensional Dependent Data in the Presence of Many Explanatory Variables and Weak Signals arXiv:2412.04736v1 Announce Type: cross Abstract: This article considers a novel and widely applicable approach to modeling high-dimensional dependent data when a large number of explanatory variables are available and the signal-to-noise ratio is low. We postulate that a $p$-dimensional response series…
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Weekly Entering & Transitioning – Thread 09 Dec, 2024 – 16 Dec, 2024
Weekly Entering & Transitioning – Thread 09 Dec, 2024 – 16 Dec, 2024 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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Is your org treating the rollout of LLMs as an IT or data science problem?
Is your org treating the rollout of LLMs as an IT or data science problem? Our org has given all resource (and limited all API access) to LLMs to a dedicated team in the IT department, which has no prior data experience. So far no data scientist has been engaged for feedback on design or…
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Are certifications even worth it these days?
Are certifications even worth it these days? So, I’m a cs major stats minor undergrad, and I’ve done a couple of certifications—AWS Cloud Practitioner and IBM Data Science. Honestly, I’m not sure if they added much value. In one interview, I mentioned my certifications right at the end, and they didn’t even seem to notice.…
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Timeseries pattern detection problem
Timeseries pattern detection problem I’ve never dealt with any time series data – please help me understand if I’m reinventing the wheel or on the right track. I’m building a little hobby app, which is a habit tracker of sorts. The idea is that it lets the user record things they’ve done, on a daily…
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How to find freelance opportunities – what is the most typical troupe of project you do as freelance
How to find freelance opportunities – what is the most typical troupe of project you do as freelance Hi all, I have 5+ years of experience. I’m based in Europe Lately I’m thinking switch from full time employee to contractor, doing freelancing and working for different companies at the same time. I think that freelancing…
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Streamline Your Workflow when Starting a New Research Paper
Streamline Your Workflow when Starting a New Research Paper Python code to create folders and Word documents for research papers in biomedical sciences — all in one go with only two inputs Continue reading on Towards Data Science » Rodrigo M Carrillo Larco, MD, PhD Go to original source
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AI, My Holiday Elf: Building a Gift Recommender for the Perfect Christmas
AI, My Holiday Elf: Building a Gift Recommender for the Perfect Christmas How I used AI and Streamlit to create a festive and fun gift recommendation app Continue reading on Towards Data Science » Shuqing Ke Go to original source
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Scientists Go Serious About Large Language Models Mirroring Human Thinking
Scientists Go Serious About Large Language Models Mirroring Human Thinking A discussion of the latest research suggesting that LLMs do work like the human brain—with some substantial differences Continue reading on Towards Data Science » LucianoSphere (Luciano Abriata, PhD) Go to original source
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Engineers develop device that merges sensing and computing functions for reconfigurable computing platform
Engineers develop device that merges sensing and computing functions for reconfigurable computing platform In recent years, engineers have been trying to create hardware systems that better support the high computational demands of machine learning algorithms. These include systems that can perform multiple functions, acting as sensors, memories and computer processors all at once. Go to…
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US clean energy, defense to be impacted by China export curbs
US clean energy, defense to be impacted by China export curbs China’s retaliatory export controls could take a toll on the growing US clean energy sector and its defense industry, analysts say, as a trade tussle escalates between the world’s two biggest economies. Go to techxplore
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Tenable launches autonomous patch management tool
Tenable launches autonomous patch management tool Tenable has launched a new autonomous patch management solution aimed at helping customers minimise their exposure to cyber threats. Tenable Patch Management has been developed in partnership with autonomous endpoint management company Adaptiva. The solution pairs autonomous patch functionality from Adaptiva with Tenable’s vulnerability coverage, threat intelligence and prioritisation…
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My #30DayMapChallenge 2024
My #30DayMapChallenge 2024 30 Days, 30 Maps: My November Adventure in Digital Cartography Continue reading on Towards Data Science » Glenn Kong Go to original source
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How to Prepare for Your Data Science Behavioural Interview
How to Prepare for Your Data Science Behavioural Interview My top tips to smash your next data science behavioural interview Continue reading on Towards Data Science » Egor Howell Go to original source
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I’m Doing the Advent of Code 2024 in Python — Day 1
I’m Doing the Advent of Code 2024 in Python — Day 1 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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Modeling DAU with Markov Chain
Modeling DAU with Markov Chain How to predict DAU using Duolingo’s growth model and control the prediction 1. Introduction Doubtlessly, DAU, WAU, and MAU — daily, weekly, and monthly active users — are critical business metrics. An article “How Duolingo reignited user growth” by Jorge Mazal, former CPO of Duolingo, is #1 in the Growth section of Lenny’s Newsletter…
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Combining Large and Small LLMs to Boost Inference Time and Quality
Combining Large and Small LLMs to Boost Inference Time and Quality Implementing Speculative and Contrastive Decoding Large Language models are comprised of billions of parameters (weights). For each word it generates, the model has to perform computationally expensive calculations across all of these parameters. Large Language models accept a sentence, or sequence of tokens, and…
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How to Integrate AI and Data Science into Your Business Strategy
How to Integrate AI and Data Science into Your Business Strategy DATA SCIENCE CONSULTING Insider consulting guide to conducting a successful 2-day executive workshop Image by author using Canva “Our industry does not respect tradition — it only respects innovation.” — Satya Nadella, CEO Microsoft, Letter to employees in 2014 While not all industries are as competitive and cutthroat as the…
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Reinforcement Learning: Self-Driving Cars to Self-Driving Labs
Reinforcement Learning: Self-Driving Cars to Self-Driving Labs Understanding AI applications in bio for machine learning engineers Photo by Ousa Chea on Unsplash Anyone who has tried teaching a dog new tricks knows the basics of reinforcement learning. We can modify the dog’s behavior by repeatedly offering rewards for obedience and punishments for misbehavior. In reinforcement learning…
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Grow with SAP expands cloud ERP access for SMBs on AWS
Grow with SAP expands cloud ERP access for SMBs on AWS Go to techtarget
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8 Microsoft Power Apps use cases for organizations
8 Microsoft Power Apps use cases for organizations Go to techtarget
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Top 12 business intelligence challenges to manage
Top 12 business intelligence challenges to manage Go to techtarget
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Experts Offer 10 Big Data Predictions for 2025
Experts Offer 10 Big Data Predictions for 2025 As AI technologies and services have accelerated their own proliferation throughout the market, the data that trains these machines is more important than ever. The global big data and analytics industry is expected to experience significant growth in the next few years. It is predicted to grow…
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Syncari Adds Autonomous Data Management Advancements to Empower Enterprises in Mastering Data and Improve Decision-Making
Syncari Adds Autonomous Data Management Advancements to Empower Enterprises in Mastering Data and Improve Decision-Making Syncari, a leader in data unification and automation, is announcing the general availability of powerful new capabilities in its Syncari Autonomous Data Management (ADM) platform that includes Unified Insights for real-time business intelligence (BI) and Auto Field Mapping for swift,…
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Product Spotlight: cube
Product Spotlight: cube Go to dbta
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Product Spotlight: GridGain
Product Spotlight: GridGain Go to dbta
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Product Spotlight: Dell Technologies
Product Spotlight: Dell Technologies Go to dbta
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Enhancing mechanical and thermoelectric performance of alloy for chip-scale refrigeration
Enhancing mechanical and thermoelectric performance of alloy for chip-scale refrigeration The advancement of information technology necessitates efficient thermal management for chips to ensure stable information transmission. Meanwhile, the thermal management technology must be vibration-free and easily miniaturized to accommodate increasingly integrated chip modules. Go to techxplore
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Recovering rare earth metals from waste permanent magnets
Recovering rare earth metals from waste permanent magnets Korea imports 95% of its core minerals such as lithium, nickel, and rare earths. Rare earths, in particular, are characterized by chemical, electrical, magnetic, and luminescent properties that can be achieved by adding only a small amount, and their use has recently increased significantly as core materials…
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Magnetically controlled kirigami surfaces move objects: No grasping needed
Magnetically controlled kirigami surfaces move objects: No grasping needed Researchers have developed a novel device that couples magnetic fields and kirigami design principles to remotely control the movement of a flexible dimpled surface, allowing it to manipulate objects without actually grasping them—making it useful for lifting and moving items such as fragile objects, gels or…
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Poll measures support for revenue-sharing plan on renewable energy
Poll measures support for revenue-sharing plan on renewable energy Democrats and Republicans don’t see eye-to-eye on much. And they often don’t agree on various aspects of renewable energy. But a recent report finds there is one area in which they’re pretty much in sync: how certain national proceeds should be divvied up. Go to techxplore
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AI could help reduce injury risk in pianists
AI could help reduce injury risk in pianists Researchers at Stanford Engineering have developed an AI-trained model to accurately recreate the hand movements of elite-level pianists and the physical stresses they endure while playing. Go to techxplore
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but there’s 14k taxis in singapore not counting grab, etc
Waymo currently operates commercial robotaxi services in Phoenix, Arizona, Los Angeles, and San Francisco, with new services planned in Austin, Texas. As of October 2024, it offers 150,000 paid rides per week totalling over 1 million miles weekly. https://www.iotworldtoday.com/transportation-logistics/waymo-s-self-driving-taxis-now-available-to-all-in-san-francisco It currently operates a fleet of around 300 self-driving taxis in the city, with a further…
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what am i going to do with this?
https://github.com/ictnlp/Auto-RAG or this? https://vast.ai/docs/use-cases/oobabooga https://alexfazio.medium.com/a-brief-intro-to-obabooga-text-generation-webui-711f783cae48
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Asymptotics of Linear Regression with Linearly Dependent Data
Asymptotics of Linear Regression with Linearly Dependent Data arXiv:2412.03702v1 Announce Type: new Abstract: In this paper we study the asymptotics of linear regression in settings where the covariates exhibit a linear dependency structure, departing from the standard assumption of independence. We model the covariates using stochastic processes with spatio-temporal covariance and analyze the performance of…
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Learning Networks from Wide-Sense Stationary Stochastic Processes
Learning Networks from Wide-Sense Stationary Stochastic Processes arXiv:2412.03768v1 Announce Type: new Abstract: Complex networked systems driven by latent inputs are common in fields like neuroscience, finance, and engineering. A key inference problem here is to learn edge connectivity from node outputs (potentials). We focus on systems governed by steady-state linear conservation laws: $X_t = {L^{ast}}Y_{t}$,…
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Community Detection with Heterogeneous Block Covariance Model
Community Detection with Heterogeneous Block Covariance Model arXiv:2412.03780v1 Announce Type: new Abstract: Community detection is the task of clustering objects based on their pairwise relationships. Most of the model-based community detection methods, such as the stochastic block model and its variants, are designed for networks with binary (yes/no) edges. In many practical scenarios, edges often…
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How well behaved is finite dimensional Diffusion Maps?
How well behaved is finite dimensional Diffusion Maps? arXiv:2412.03992v1 Announce Type: new Abstract: Under a set of assumptions on a family of submanifolds $subset {mathbb R}^D$, we derive a series of geometric properties that remain valid after finite-dimensional and almost isometric Diffusion Maps (DM), including almost uniform density, finite polynomial approximation and local reach. Leveraging…
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Pathwise optimization for bridge-type estimators and its applications
Pathwise optimization for bridge-type estimators and its applications arXiv:2412.04047v1 Announce Type: new Abstract: Sparse parametric models are of great interest in statistical learning and are often analyzed by means of regularized estimators. Pathwise methods allow to efficiently compute the full solution path for penalized estimators, for any possible value of the penalization parameter $lambda$. In…
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Bridging the Data Literacy Gap
Bridging the Data Literacy Gap The Advent, Evolution, and Current state of “Data Translators” Introduction With Data being constantly glorified as the most valuable asset organizations can own, leaders and decision-makers are always looking for effective ways to put their data insights to use. Every time customers interact with digital products, millions of data points…
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Multimodal RAG: Process Any File Type with AI
Multimodal RAG: Process Any File Type with AI A beginner-friendly guide with example (Python) code This is the third article in a larger series on multimodal AI. In the previous posts, we discussed multimodal LLMs and embedding models, respectively. In this article, we will combine these ideas to enable the development of multimodal RAG systems. I’ll…
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Chat with Your Images using Multimodal LLMs
Chat with Your Images using Multimodal LLMs Chat with Your Images Using Llama 3.2-Vision Multimodal LLMs Learn how to build Llama 3.2-Vision locally in a chat-like mode, and explore its Multimodal skills on a Colab notebook Annotated image by author. Original image by Pixabay. Introduction The integration of vision capabilities with Large Language Models (LLMs) is revolutionizing…
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Who Does What in Data? A Practical Introduction to the Role of a Data Engineer & Data Scientist
Who Does What in Data? A Practical Introduction to the Role of a Data Engineer & Data Scientist What does a data engineer do differently to a data scientist? Continue reading on Towards Data Science » Sarah Lea Go to original source
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GPS Interpolation Using Maps and Kinematics
GPS Interpolation Using Maps and Kinematics How do you apply dead reckoning to your geospatial dataset? The picture above illustrates the GPS interpolation process. The red dots represent the known and repeated GPS locations, with more than one location per dot, while the blue dots represent the inferred locations of the repeated points along the…
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New Qlik integrations ready data for AI development
New Qlik integrations ready data for AI development Go to techtarget
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Product Spotlight: DBI Software
Product Spotlight: DBI Software Go to dbta
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Product Spotlight: Melissa
Product Spotlight: Melissa Go to dbta
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Product Spotlight: Revelation Software
Product Spotlight: Revelation Software Go to dbta
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Product Spotlight: Syncari ADM: Data Management, Modernized
Product Spotlight: Syncari ADM: Data Management, Modernized Go to dbta
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Product Spotlight: IRI FieldShield 6 – Faster DB & Cloud Data Masking
Product Spotlight: IRI FieldShield 6 – Faster DB & Cloud Data Masking Go to dbta
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Burned rice hulls could help batteries store more charge
Burned rice hulls could help batteries store more charge A closer inspection of ash from burned rice hulls, the hard outer layer of rice grains, revealed a form of carbon that could nearly double the energy density of typical lithium-ion or sodium-ion batteries. Go to techxplore
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Improved magnetocaloric heat pump paves the way for more sustainable cooling and heating technology
Improved magnetocaloric heat pump paves the way for more sustainable cooling and heating technology A team of researchers from the U.S. Department of Energy Ames National Laboratory developed a magnetocaloric heat pump that matches current vapor-compression heat pumps for weight, cost, and performance. Go to techxplore
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Monitoring system could help cities manage emissions without banning older vehicles
Monitoring system could help cities manage emissions without banning older vehicles How can vehicle emissions be reduced without necessarily having to change cars? A new monitoring system, developed by Politecnico di Milano and described in a study published in the journal Scientific Reports, offers a concrete answer that makes sustainable mobility accessible to all. Go…
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Q&A: Professor of computer vision and artificial intelligence discusses the state of the technology
Q&A: Professor of computer vision and artificial intelligence discusses the state of the technology Technologies based on artificial intelligence (AI) are already affecting our everyday lives—from the systems that facilitate movie and music selections to language assistants that formulate emails. But what developments will come along in the coming years? Go to techxplore
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Nitrogen-doped catalyst technology could accelerate hydrogen fuel cell commercialization
Nitrogen-doped catalyst technology could accelerate hydrogen fuel cell commercialization A research team has developed a breakthrough technology that dramatically improves the durability of alloy catalysts, a critical component in fuel cells. By incorporating nitrogen into the alloy structure, the team addressed the high cost and low durability of platinum (Pt) catalysts, two major obstacles to…
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Hybrid SD-WAN for sites and vehicles
Hybrid SD-WAN for sites and vehicles Call it reinvention or evolution, but the IT and telecommunications industry is a constant source of new or improved innovations. Let’s consider SD-WAN: since it hit the market over a decade ago, SD-WAN has offered many enterprise benefits, including financial savings from low-cost links, in-depth visibility into end-to-end performance,…
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Veeam launches updated Veeam Data Platform
Veeam launches updated Veeam Data Platform Data resilience company Veeam has launched the newest version of its Veeam Data Platform, introducing functions such as a new recon scanner for proactive threat analysis. The scanning tool utilises proactive threat assessment technology to identify adversary tactics, techniques and procedures before a cyber attack, to help potentially prevent…
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Teradata deepens GenAI collaboration with AWS
Teradata deepens GenAI collaboration with AWS Teradata is expanding its relationship with Amazon Web Services to be able to offer its customers access to a repository of generative AI (GenAI) use cases. The cloud database company has arranged to introduce rapid start GenAI use cases for customers while they are leveraging the Teradata VantageCloud platform…
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Universal Rates of Empirical Risk Minimization
Universal Rates of Empirical Risk Minimization arXiv:2412.02810v1 Announce Type: new Abstract: The well-known empirical risk minimization (ERM) principle is the basis of many widely used machine learning algorithms, and plays an essential role in the classical PAC theory. A common description of a learning algorithm’s performance is its so-called “learning curve”, that is, the decay…
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An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits
An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits arXiv:2412.02861v1 Announce Type: new Abstract: We study the performance of the Thompson Sampling algorithm for logistic bandit problems, where the agent receives binary rewards with probabilities determined by a logistic function $exp(beta langle a, theta rangle)/(1+exp(beta langle a, theta rangle))$. We focus on the setting where…
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Preference-based Pure Exploration
Preference-based Pure Exploration arXiv:2412.02988v1 Announce Type: new Abstract: We study the preference-based pure exploration problem for bandits with vector-valued rewards. The rewards are ordered using a (given) preference cone $mathcal{C}$ and our the goal is to identify the set of Pareto optimal arms. First, to quantify the impact of preferences, we derive a novel lower…
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Generalized Diffusion Model with Adjusted Offset Noise
Generalized Diffusion Model with Adjusted Offset Noise arXiv:2412.03134v1 Announce Type: new Abstract: Diffusion models have become fundamental tools for modeling data distributions in machine learning and have applications in image generation, drug discovery, and audio synthesis. Despite their success, these models face challenges when generating data with extreme brightness values, as evidenced by limitations in…
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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs
Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs arXiv:2412.03271v1 Announce Type: new Abstract: Neural Jump ODEs model the conditional expectation between observations by neural ODEs and jump at arrival of new observations. They have demonstrated effectiveness for fully data-driven online forecasting in settings with irregular and partial observations, operating under weak regularity assumptions. This…
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How to Build a General-Purpose LLM Agent
How to Build a General-Purpose LLM Agent A Step-by-Step Guide High-level Overview of an LLM Agent. (Image by author) Why build a general-purpose agent? Because it’s an excellent tool to prototype your use cases and lays the groundwork for designing your own custom agentic architecture. Before we dive in, let’s quickly introduce LLM agents. Feel free…
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How to Interpret Matrix Expressions — Transformations
How to Interpret Matrix Expressions — Transformations Matrix algebra for a data scientist Photo by Ben Allan on Unsplash This article begins a series for anyone who finds matrix algebra overwhelming. My goal is to turn what you’re afraid of into what you’re fascinated by. You’ll find it especially helpful if you want to understand machine learning concepts…
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What Teaching AI Taught me About Data Skills & People
What Teaching AI Taught me About Data Skills & People Three key lessons from my journey as a corporate AI educator Photo by Mikhail Nilov. As an AI Educator, my job was to equip corporate teams with the data & AI skills they needed to thrive. But looking back, I realized that I learned far more from…
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Introducing Univariate Exemplar Recommenders: how to profile Customer Behavior in a single vector
Introducing Univariate Exemplar Recommenders: how to profile Customer Behavior in a single vector Customer Profiling Surveying and improving the current methodologies for customer profiling ***To understand this article, knowledge of embeddings, clustering, and recommendation systems is required. The implementation of this algorithm has been released on GitHub and is fully open-source. I am open to…
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Step-by-Step Guide for Building Bump Charts in Plotly
Step-by-Step Guide for Building Bump Charts in Plotly Learn how to create custom bump charts in Python using Plotly for data visualization Continue reading on Towards Data Science » Amanda Iglesias Moreno Go to original source
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Tenable Patch Management Streamlines Discovery to Security Remediation
Tenable Patch Management Streamlines Discovery to Security Remediation Tenable, the exposure management company, is releasing Tenable Patch Management, an autonomous patch solution built to quickly and effectively close vulnerability exposures in a unified solution. According to the company, collaboration and integration with Adaptiva, a global leader in autonomous endpoint management, provides the foundation of this…