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  • Vaultree?s VENum Stack Secures ML Operations on Encrypted Data

    Vaultree?s VENum Stack Secures ML Operations on Encrypted Data Vaultree, a leader in advanced data encryption, is debuting Vaultree Encrypted Numbers (VENum), as well as announcing its open source availability. The VENum stack?which includes Vaultree Encrypted Numpy (VENumpy) and VENum Machine Learning (VENumML)?enables developers to build and deploy ML models on encrypted data without compromising…

  • Progress? Q4 2024 Developer Tools Release Highlights Streamlined Design, Modern Integrations, and More

    Progress? Q4 2024 Developer Tools Release Highlights Streamlined Design, Modern Integrations, and More Progress, the trusted provider of AI-powered infrastructure software, is unveiling the Q4 2024 release of Progress Telerik and Progress Kendo UI component libraries. With this latest iteration focusing on improved integration, ease-of-use, and various other enhancements, Progress aims to provide the most…

  • Oracle Database@AWS is Now Available in Limited Preview

    Oracle Database@AWS is Now Available in Limited Preview Oracle announced the limited preview of Oracle Database@AWS?enabling customers to run Oracle Exadata Database Service on Oracle Cloud Infrastructure (OCI) in Amazon Web Services (AWS), starting with the AWS U.S. East Region. Oracle Database@AWS provides customers with a fully integrated experience for deploying, managing, and using Oracle…

  • Oracle Database@Azure Adds New Regions and Services

    Oracle Database@Azure Adds New Regions and Services Oracle announced the Craneware Group, Vodafone, and organizations from almost every major industry in the world are selecting Oracle Database@Azure to accelerate their cloud migrations and support their most demanding and sensitive workloads. To meet rapidly growing global demand, Oracle Database@Azure is being made available in new regions…

  • A single algorithm can help robots make good decisions in real time

    A single algorithm can help robots make good decisions in real time In 2018, Google DeepMind’s AlphaZero program taught itself the games of chess, shogi, and Go using machine learning and a special algorithm to determine the best moves to win a game within a defined grid. Now, a team of Caltech researchers has developed…

  • Compendium of geothermal bit behavior may help drive down drilling time

    Compendium of geothermal bit behavior may help drive down drilling time In golf, a great caddie helps tune a professional golfer’s performance, matching their skill, choice of club and type of swing to the course and weather conditions. Go to techxplore

  • New tool makes micro:bit programming portable for young learners

    New tool makes micro:bit programming portable for young learners A new coding tool will help make it easier for children to portably program a popular educational micro-computer on the fly. Researchers from Lancaster University’s School of Computing and Communications working in partnership with researchers at Microsoft have evaluated a new programming tool called MicroCode. Go…

  • Nonproliferation innovation makes international impact at Kazakh nuclear site

    Nonproliferation innovation makes international impact at Kazakh nuclear site Kris Gaines is on a nonproliferation mission: to make it easier for more countries to eliminate highly enriched uranium, or HEU, thus neutralizing the inherent threat of its potential for nefarious use. As a nuclear nonproliferation specialist and project manager at the Department of Energy’s Oak…

  • Manta rays inspire the fastest swimming soft robot yet

    Manta rays inspire the fastest swimming soft robot yet A team of researchers has beaten its own record for the fastest swimming soft robot, drawing inspiration from manta rays to improve their ability to control the robot’s movement in the water. Go to techxplore

  • Despite years of explosive data growth, there may not be enough for AI

    Despite years of explosive data growth, there may not be enough for AI In a world of so much data, it seems counterintuitive to think we might run out of it. Yet that is precisely the situation when it comes to the availability of datasets to train AI models, specifically large language models or LLMs.…

  • Organisations may be leaving their data open for exploitation

    Organisations may be leaving their data open for exploitation Satellite technology has been an incredibly useful connectivity option for organisations operating in regional areas of Australia. To name a few, emergency services and utilities organisations operating in regional areas have experienced complete turnarounds in the services that they’re able to offer their customers. One area…

  • MEP-Net: Generating Solutions to Scientific Problems with Limited Knowledge by Maximum Entropy Principle

    MEP-Net: Generating Solutions to Scientific Problems with Limited Knowledge by Maximum Entropy Principle arXiv:2412.02090v1 Announce Type: new Abstract: Maximum entropy principle (MEP) offers an effective and unbiased approach to inferring unknown probability distributions when faced with incomplete information, while neural networks provide the flexibility to learn complex distributions from data. This paper proposes a novel…

  • Selective Reviews of Bandit Problems in AI via a Statistical View

    Selective Reviews of Bandit Problems in AI via a Statistical View arXiv:2412.02251v1 Announce Type: new Abstract: Reinforcement Learning (RL) is a widely researched area in artificial intelligence that focuses on teaching agents decision-making through interactions with their environment. A key subset includes stochastic multi-armed bandit (MAB) and continuum-armed bandit (SCAB) problems, which model sequential decision-making…

  • Deep Matrix Factorization with Adaptive Weights for Multi-View Clustering

    Deep Matrix Factorization with Adaptive Weights for Multi-View Clustering arXiv:2412.02292v1 Announce Type: new Abstract: Recently, deep matrix factorization has been established as a powerful model for unsupervised tasks, achieving promising results, especially for multi-view clustering. However, existing methods often lack effective feature selection mechanisms and rely on empirical hyperparameter selection. To address these issues, we…

  • The Broader Landscape of Robustness in Algorithmic Statistics

    The Broader Landscape of Robustness in Algorithmic Statistics arXiv:2412.02670v1 Announce Type: new Abstract: The last decade has seen a number of advances in computationally efficient algorithms for statistical methods subject to robustness constraints. An estimator may be robust in a number of different ways: to contamination of the dataset, to heavy-tailed data, or in the…

  • Composition of Experts: A Modular Compound AI System Leveraging Large Language Models

    Composition of Experts: A Modular Compound AI System Leveraging Large Language Models arXiv:2412.01868v1 Announce Type: cross Abstract: Large Language Models (LLMs) have achieved remarkable advancements, but their monolithic nature presents challenges in terms of scalability, cost, and customization. This paper introduces the Composition of Experts (CoE), a modular compound AI system leveraging multiple expert LLMs.…

  • Query Optimization for Mere Humans in PostgreSQL

    Query Optimization for Mere Humans in PostgreSQL PostgreSQL: Query Optimization for Mere Humans Understanding a PostgreSQL execution plan with practical examples Photo by Greg Rakozy on Unsplash Today, users have high expectations for the programs they use. Users expect programs to have amazing features, to be fast, and to consume a reasonable amount of resources. As developers,…

  • Becoming a Data Scientist: What I Would Do If I Had to Start Over

    Becoming a Data Scientist: What I Would Do If I Had to Start Over Breaking into data science: The Good, the Bad, and the Python Bugs Photo by Markus Spiske on Unsplash Martin Luther King Jr. is famous for his speech, “I Have a Dream.” He delivered it at the Lincoln Memorial in Washington, D.C., on August…

  • Bird’s-Eye View of Linear Algebra: Left, Right Inverse => Injective, Surjective Maps

    Bird’s-Eye View of Linear Algebra: Left, Right Inverse => Injective, Surjective Maps If matrix multiplication isn’t commutative, then why don’t we have left and right inverses? Continue reading on Towards Data Science » Rohit Pandey Go to original source

  • The Name That Broke ChatGPT: Who is David Mayer?

    The Name That Broke ChatGPT: Who is David Mayer? AI, privacy, human bias, prompting, the future of content, and how to hack a chatbot Continue reading on Towards Data Science » Cassie Kozyrkov Go to original source

  • The Cultural Impact of AI Generated Content: Part 1

    The Cultural Impact of AI Generated Content: Part 1 What happens when AI generated media becomes ubiquitous in our lives? How does this relate to what we’ve experienced before, and how does it change us? Photo by Annie Spratt on Unsplash This is the first part of a two part series I’m writing analyzing how people and…

  • AWS reimagines SageMaker as suite for data, analytics, AI

    AWS reimagines SageMaker as suite for data, analytics, AI Go to techtarget

  • Hitachi Vantara and Virtana Join Forces to Automate Hybrid Infrastructure Management

    Hitachi Vantara and Virtana Join Forces to Automate Hybrid Infrastructure Management Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd., is announcing a collaboration with Virtana, a leader in AI-powered monitoring and observability for hybrid infrastructure environments, to ease the management of complex IT environments caused by hybrid cloud. Merging…

  • Cockroach Labs Enhances Resiliency and Self-Service Capabilities with CockroachDB 24.3

    Cockroach Labs Enhances Resiliency and Self-Service Capabilities with CockroachDB 24.3 Cockroach Labs is releasing CockroachDB 24.3, improving resilience and performance, while adding enterprise capabilities such as support of Microsoft’s Active Directory and database triggers. According to the company, CockroachDB 24.3 also delivers a solution that enables customers with two data centers to experience the resilience…

  • Clarifai?s Compute Orchestration for AI Centers Seamless Management, Security, and Vendor Flexibility

    Clarifai?s Compute Orchestration for AI Centers Seamless Management, Security, and Vendor Flexibility Clarifai, a global leader in AI and pioneer of the full-stack AI platform, is unveiling new compute orchestration capabilities for AI workloads, designed for any AI model, on any compute, at any scale. This innovation enables organizations to better optimize their compute and…

  • Proton batteries: An innovative option for the future of energy storage

    Proton batteries: An innovative option for the future of energy storage A team of scientists at UNSW Chemistry have successfully developed an organic material that is able to store protons—and they have used it to create a rechargeable proton battery in the lab. Go to techxplore

  • Platform allows AI to learn from constant, nuanced human feedback rather than large datasets

    Platform allows AI to learn from constant, nuanced human feedback rather than large datasets During your first driving class, the instructor probably sat next to you, offering immediate advice on every turn, stop and minor adjustment. If it was a parent, they might have even grabbed the wheel a few times and shouted “Brake!” Over…

  • Energy strategy could help advance low-carbon road transport while keeping it economically competitive

    Energy strategy could help advance low-carbon road transport while keeping it economically competitive Researchers at the Paul Scherrer Institute (PSI) have presented a concept for decarbonizing transport while keeping it economically competitive. Increasing the utilization of carbon dioxide from biogas plants plays an important role. Go to techxplore

  • Origami packaging technology offers sustainable alternatives to conventional materials

    Origami packaging technology offers sustainable alternatives to conventional materials VTT Technical Research Center of Finland, in collaboration with Aalto University and Finnish industrial partners, has developed a new technology for shaping cardboard in a unique continuous process to create reel-to-reel, origami-inspired structures for fiber-based packaging materials. Go to techxplore

  • Unified testing protocol could improve the durability of flexible photovoltaic devices

    Unified testing protocol could improve the durability of flexible photovoltaic devices Flexible portable devices, also known as FlexPVs, have great potential in multiple applications. For example, wearable technology, intelligent fabrics, curved surfaces such as car roofs or lightweight applications such as drones or aerospace transportation. Go to techxplore

  • Building a critical infrastructure security dream team

    Building a critical infrastructure security dream team The term ‘cyber-physical environment’ may sound like something straight out of a futuristic sci-fi film. In reality, it refers to the integration between our critical infrastructure and the digital systems we rely on daily — whether for communication, transportation, or in the way we live and work. In…

  • PanaAI to build Australia’s fastest AI supercomputer

    PanaAI to build Australia’s fastest AI supercomputer AI computing service and operations company PanaAI has announced plans to collaborate with NVIDIA to build the Southern Hemisphere’s fastest AI supercomputer in Australia. The PanaAI AUS ASIF system is scheduled to come online in the first quarter of next year. It will host up to 4088 NVIDIA…

  • why not do training?

    https://www.abc.net.au/news/2024-11-17/solar-flooded-australia-told-its-okay-to-waste-some/104606640 during periods of “excess” power. train gpt x , alphafold y, n so on… batteries not required

  • Nonlinearity and Uncertainty Informed Moment-Matching Gaussian Mixture Splitting

    Nonlinearity and Uncertainty Informed Moment-Matching Gaussian Mixture Splitting arXiv:2412.00343v1 Announce Type: new Abstract: Many problems in navigation and tracking require increasingly accurate characterizations of the evolution of uncertainty in nonlinear systems. Nonlinear uncertainty propagation approaches based on Gaussian mixture density approximations offer distinct advantages over sampling based methods in their computational cost and continuous representation.…

  • Optimal Particle-based Approximation of Discrete Distributions (OPAD)

    Optimal Particle-based Approximation of Discrete Distributions (OPAD) arXiv:2412.00545v1 Announce Type: new Abstract: Particle-based methods include a variety of techniques, such as Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC), for approximating a probabilistic target distribution with a set of weighted particles. In this paper, we prove that for any set of particles, there…

  • Explicit and data-Efficient Encoding via Gradient Flow

    Explicit and data-Efficient Encoding via Gradient Flow arXiv:2412.00864v1 Announce Type: new Abstract: The autoencoder model typically uses an encoder to map data to a lower dimensional latent space and a decoder to reconstruct it. However, relying on an encoder for inversion can lead to suboptimal representations, particularly limiting in physical sciences where precision is key.…

  • A Note on Estimation Error Bound and Grouping Effect of Transfer Elastic Net

    A Note on Estimation Error Bound and Grouping Effect of Transfer Elastic Net arXiv:2412.01010v1 Announce Type: new Abstract: The Transfer Elastic Net is an estimation method for linear regression models that combines $ell_1$ and $ell_2$ norm penalties to facilitate knowledge transfer. In this study, we derive a non-asymptotic $ell_2$ norm estimation error bound for the…

  • Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces

    Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces arXiv:2412.01019v1 Announce Type: new Abstract: Energy-based models (EBMs) offer a flexible framework for probabilistic modelling across various data domains. However, training EBMs on data in discrete or mixed state spaces poses significant challenges due to the lack of robust and fast sampling…

  • Google Gemini Is Entering the Advent of Code Challenge

    Google Gemini Is Entering the Advent of Code Challenge An open-source project to explore the capabilities and limitations of LLMs on coding challenges Image by author (created with Flux 1.1 Pro) What is this about? If 2024 taught us anything in the realm of Generative AI, then it is that coding is one of the most promising…

  • RAG: Hybrid Search Based on Two Indexes

    RAG: Hybrid Search Based on Two Indexes The proposition I will be talking about in this article is something I already have implemented and I am currently testing in a personal… Continue reading on Towards Data Science » Jérôme DIAZ Go to original source

  • Context-Aided Forecasting: Enhancing Forecasting with Textual Data

    Context-Aided Forecasting: Enhancing Forecasting with Textual Data A promising alternative approach to improve forecasting Continue reading on Towards Data Science » Nikos Kafritsas Go to original source

  • 3D Clustering with Graph Theory: The Complete Guide

    3D Clustering with Graph Theory: The Complete Guide Python Tutorial for Euclidean Clustering of 3D Point Clouds with Graph Theory. Fundamental concepts and sequential workflow for… Continue reading on Towards Data Science » Florent Poux, Ph.D. Go to original source

  • Machine Learning Experiments Done Right

    Machine Learning Experiments Done Right A detailed guideline for designing machine learning experiments that produce reliable, reproducible results. Photo by Vedrana Filipović on Unsplash Machine learning (ML) practitioners run experiments to compare the effectiveness of methods for both specific applications and for general types of problems. The validity of experimental results hinges on how practitioners design,…

  • A preview of the AWS re:Invent 2024 agenda

    A preview of the AWS re:Invent 2024 agenda Go to techtarget

  • Cloud experts share predictions for AWS re:Invent 2024

    Cloud experts share predictions for AWS re:Invent 2024 Go to techtarget

  • Couchbase unveils suite of services for developing AI

    Couchbase unveils suite of services for developing AI Go to techtarget

  • What is big data analytics?

    What is big data analytics? Go to techtarget

  • The Red Hat Ansible Automation Platform Service is now on AWS as a Managed Offering

    The Red Hat Ansible Automation Platform Service is now on AWS as a Managed Offering Red Hat, Inc., a leading provider of open source solutions, is providing the general availability of Red Hat Ansible Automation Platform Service on AWS as a managed offering in AWS Marketplace?making it easier for customers to manage their hybrid cloud…

  • Tailwinds by Innovative Solutions Streamlines AI Implementation at a Fraction of the Cost

    Tailwinds by Innovative Solutions Streamlines AI Implementation at a Fraction of the Cost Innovative Solutions, a leading provider of cloud services solutions for growing businesses and a Premier Tier AWS Partner with generative AI competency, is debuting Tailwinds, a generative AI (GenAI) accelerator platform for a variety of enterprise personas, which is now available on…

  • 3D printing approach for shape-changing materials means better biomedical, energy, robotics devices

    3D printing approach for shape-changing materials means better biomedical, energy, robotics devices An Oregon State University researcher has helped create a new 3D printing approach for shape-changing materials that are likened to muscles, opening the door for improved applications in robotics as well as biomedical and energy devices. Go to techxplore

  • Scientists predict bright future for fly ash in water treatment

    Scientists predict bright future for fly ash in water treatment The world has the potential today to sustainably manage nearly one billion tons of ash waste it produces every year and turn it into a useful material for water treatment applications, according to a study by scientists from the University of Sharjah published in the…

  • AI identifies non-line-of-sight errors in global navigation satellite systems

    AI identifies non-line-of-sight errors in global navigation satellite systems In urban environments, Global Navigation Satellite Systems (GNSS) often struggle with signal obstructions caused by tall buildings, vehicles, and other structures. These obstacles lead to Non-Line-of-Sight (NLOS) errors that cause positioning inaccuracies, which are particularly problematic for technologies like autonomous vehicles and intelligent transportation systems. Go…

  • Open source system detects new varieties of cyberattacks

    Open source system detects new varieties of cyberattacks Cyberattacks have become a major risk for companies and other organizations. To prevent data theft, sabotage and extortion, many companies and government agencies are turning in response to Security Information and Event Management (SIEM) systems, which use detection rules, also known as signatures, to identify cyberattacks. Go…

  • Bendable electronic parts can heat up by themselves to lower the manufacturing temperature barrier

    Bendable electronic parts can heat up by themselves to lower the manufacturing temperature barrier A research team has developed a technology to manufacture high-performance liquid process-based electronic parts at lower temperatures than what was previously possible by harnessing the heat of combustion generated in materials. Go to techxplore

  • The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?

    The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History? arXiv:2411.18656v1 Announce Type: new Abstract: In today’s world, AI programs powered by Machine Learning are ubiquitous, and have achieved seemingly exceptional performance across a broad range of tasks, from medical diagnosis and credit rating in banking,…

  • Graph Max Shift: A Hill-Climbing Method for Graph Clustering

    Graph Max Shift: A Hill-Climbing Method for Graph Clustering arXiv:2411.18794v1 Announce Type: new Abstract: We present a method for graph clustering that is analogous with gradient ascent methods previously proposed for clustering points in space. We show that, when applied to a random geometric graph with data iid from some density with Morse regularity, the…

  • Intrinsic Wrapped Gaussian Process Regression Modeling for Manifold-valued Response Variable

    Intrinsic Wrapped Gaussian Process Regression Modeling for Manifold-valued Response Variable arXiv:2411.18989v1 Announce Type: new Abstract: In this paper, we propose a novel intrinsic wrapped Gaussian process regression model for response variable measured on Riemannian manifold. We apply the parallel transport operator to define an intrinsic covariance structure addressing a critical aspect of constructing a well…

  • ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation

    ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation arXiv:2411.19090v1 Announce Type: new Abstract: Algorithmic bias continues to be a key concern of learning analytics. We study the statistical properties of the Absolute Between-ROC Area (ABROCA) metric. This fairness measure quantifies group-level differences in classifier performance through the absolute difference in ROC curves. ABROCA is…

  • Contrastive representations of high-dimensional, structured treatments

    Contrastive representations of high-dimensional, structured treatments arXiv:2411.19245v1 Announce Type: new Abstract: Estimating causal effects is vital for decision making. In standard causal effect estimation, treatments are usually binary- or continuous-valued. However, in many important real-world settings, treatments can be structured, high-dimensional objects, such as text, video, or audio. This provides a challenge to traditional causal…

  • Weekly Entering & Transitioning – Thread 02 Dec, 2024 – 09 Dec, 2024

    Weekly Entering & Transitioning – Thread 02 Dec, 2024 – 09 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.…

  • F5-TTS is highly underrated for Audio Cloning !

    F5-TTS is highly underrated for Audio Cloning ! submitted by /u/mehul_gupta1997 [link] [comments] /u/mehul_gupta1997 Go to original source

  • Daily averaged time series comparison -Linking plankton and aerosols emissions?

    Daily averaged time series comparison -Linking plankton and aerosols emissions? Hi everyone, so we have this dataset of daily averaged pytoplankton time series over a full year; coccolithophores, chlorophytes, cyanobacteria, diatoms, dinoflagellates, phaecocystis, zooplankton. Then we have atmospheric measurements on the same time intervals of a few aerosols species; Methanesulphonic acid, carboxylic acids, aliphatics, sulphates,…

  • Need help gathering data

    Need help gathering data Hello! I’m currently analysing data from politicians across the world and I would like to know if there’s a database with data like years in charge, studies they had, age, gender and some other relevant topics. Please, if you had any links I’ll be glad to check them all. *Need help,…

  • Feature creation out of two features.

    Feature creation out of two features. I have been working on a project that tried to identify interactions in variables. What is a good way to capture these interactions by creating features? What are good mathematical expressions to capture interaction beyond multiplication and division? Do note i have nulls and i cannot change it. submitted…

  • Smaller is smarter

    Smaller is smarter Concerns about the environmental impacts of Large Language Models (LLMs) are growing. Although detailed information about the actual costs of LLMs can be difficult to find, let’s attempt to gather some facts to understand the scale. Generated with ChatGPT-4o Since comprehensive data on ChatGPT-4 is not readily available, we can consider Llama 3.1…

  • Why “Statistical Significance” Is Pointless

    Why “Statistical Significance” Is Pointless Here’s a better framework for data-driven decision-making Continue reading on Towards Data Science » Samuele Mazzanti Go to original source

  • The Lead, Shadow, and Sparring Roles in New Data Settings

    The Lead, Shadow, and Sparring Roles in New Data Settings From data engineer to domain expert—what it takes to build a new data platform Continue reading on Towards Data Science » Marina Tosic Go to original source

  • How to Solve a Simple Problem With Machine Learning

    How to Solve a Simple Problem With Machine Learning A technical walkthrough of lesson one Continue reading on Towards Data Science » Oscar Leo Go to original source

  • When Not to Use the Streamlit AgGrid Component

    When Not to Use the Streamlit AgGrid Component Streamlit-AgGrid is amazing. But there are 2 scenarios where its use is not recommended. Continue reading on Towards Data Science » Jose Parreño Go to original source

  • Glittering dreams: India’s big push for solar power

    Glittering dreams: India’s big push for solar power Vast lines of solar panels reflect the blazing sun in India’s western deserts, a dazzling ocean broken only by bristling wind turbines. Go to techxplore

  • Elon Musk asks US court to block OpenAi’s for-profit conversion

    Elon Musk asks US court to block OpenAi’s for-profit conversion Elon Musk has again asked a US court to stop ChatGPT-maker OpenAI from converting into a for-profit enterprise, CNBC reported Saturday. Go to techxplore

  • Safeguarding Australia’s global resiliency

    Safeguarding Australia’s global resiliency We’ve seen the enormous impact that IT outages can have not just on businesses, but also on critical infrastructure across Australia. With increased dependence on cloud services across sectors including health care, finance, emergency services and government, resiliency in the face of outage crises needs to top the list of concerns.…

  • run your own pg rds

    https://pigsty.cc/docs/about/feature/

  • i should use some of these

    https://oss-lowcode-tools.streamlit.app/

  • Making News Recommendations Explainable with Large Language Models

    Making News Recommendations Explainable with Large Language Models A prompt-based experiment to improve both accuracy and transparent reasoning in content personalization. Deliver relevant content to readers at the right time. Image by author. At DER SPIEGEL, we are continually exploring ways to improve how we recommend news articles to our readers. In our latest (offline) experiment,…

  • Grokking Behavioral Interviews

    Grokking Behavioral Interviews Master the art of behavioral interviews and land your dream job Continue reading on Towards Data Science » Mina Ghashami Go to original source

  • Model Validation Techniques, Explained: A Visual Guide with Code Examples

    Model Validation Techniques, Explained: A Visual Guide with Code Examples MODEL EVALUATION & OPTIMIZATION 12 must-know methods to validate your machine learning Every day, machines make millions of predictions — from detecting objects in photos to helping doctors find diseases. But before trusting these predictions, we need to know if they’re any good. After all, no one would…

  • Dunder Methods: The Hidden Gems of Python

    Dunder Methods: The Hidden Gems of Python Real-world examples on how actively using special methods can simplify coding and improve readability. Dunder methods, though possibly a basic topic in Python, are something I have often noticed being understood only superficially, even by people who have been coding for quite some time. Disclaimer: This is a forgivable…

  • Electric vehicle fires: How worried should we really be?

    Electric vehicle fires: How worried should we really be? Electric vehicles (EVs) bring not just environmental promise, but also raise critical safety questions—chief among them, the fire risks posed by their lithium-ion batteries. While indispensable for powering EVs, these batteries present unique challenges, especially in confined spaces like parking garages, where the potential for fires…

  • Balloon system can produce localized solar electricity for the ground below

    Balloon system can produce localized solar electricity for the ground below A team of engineers and environmental scientists from Mälardalen University, in Sweden, Southwest Jiaotong University, in China and Guizhou University, also in China, has developed a balloon system for producing and delivering electricity to the ground below. Their work is published in the journal…

  • Strain engineering approach enhances performance of 2D semiconductor-based transistors

    Strain engineering approach enhances performance of 2D semiconductor-based transistors The manipulation of mechanical strain in materials, also known as strain engineering, has allowed engineers to advance electronics over the past decades, for instance enhancing the mobility of charge carriers in devices. Over the past few years, some studies have tried to devise effective strategies to…

  • back then it was called phonegap

    im just saying. random plug. i dun even use this. n i dunno who might use it. but… i think very few things do what this do..https://kivy.org/n i think its actually damn useful if u have that problem. * and its surprisingly cheap to become their top 5 sponsor. *why dun more ppl have this…

  • damn im plugging for aws!?

    https://aws.amazon.com/blogs/publicsector/how-an-open-source-emr-system-has-transformed-patient-healthcare-in-more-than-50-countries/?utm_source=flipboard&utm_content=other

  • How Did Open Food Facts Fix OCR-Extracted Ingredients Using Open-Source LLMs?

    How Did Open Food Facts Fix OCR-Extracted Ingredients Using Open-Source LLMs? Delve into an end-to-end Machine Learning project to improve the quality of the Open Food Facts database Image generated with Flux1 Open Food Facts’ purpose is to create the largest open-source food database in the world. To this day, it has collected over 3 millions products…

  • Effortless Data Handling: Find Variables Across Multiple Data Files with R

    Effortless Data Handling: Find Variables Across Multiple Data Files with R A practical solution with code and workflow Lost in a maze of datasets and endless data dictionaries? Say goodbye to tedious variable hunting! Discover how to quickly identify and extract the variables you need from multiple SAS files using two simple R functions. Streamline your…

  • Why Internal Company Chatbots Fail and How to Use Generative AI in Enterprise with Impact

    Why Internal Company Chatbots Fail and How to Use Generative AI in Enterprise with Impact Start with the problem and not with the solution Background licensed from elements.envato.com, edit by Marcel Müller 2024 The most common disillusion that many organizations have is the following: They get excited about generative AI with ChatGPT or Microsoft Co-Pilot, read some…

  • Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query!

    Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query! 5 practical use cases that prove Power Query is worth exploring. I have a confession to make: I’ve been living under a rock 🪨. Not literally, but how else can I explain not discovering Power Query in Excel until now? Imagine…

  • Water Cooler Small Talk: Simpson’s Paradox

    Water Cooler Small Talk: Simpson’s Paradox Is your data tricking you? What can you do about it? Continue reading on Towards Data Science » Maria Mouschoutzi, PhD Go to original source

  • New dome concept could advance thermal invisibility technology

    New dome concept could advance thermal invisibility technology A research team from multiple institutions in China has proposed a novel concept of a thermal dome that could significantly advance the field of thermal invisibility technology. The study, published in Engineering, offers a potential solution to long-standing limitations in traditional thermal cloaking devices. Go to boat…

  • Engineers unveil catalyst innovations for sustainable turquoise hydrogen solutions

    Engineers unveil catalyst innovations for sustainable turquoise hydrogen solutions Dr. Woohyun Kim’s research team from the Hydrogen Research Department at the Korea Institute of Energy Research (KIER) has successfully developed an innovative nickel-cobalt composite catalyst that can accelerate the production and commercialization of turquoise hydrogen. The findings are published in the journal Fuel Processing Technology.…

  • Super-adhesive patches can adapt to different motions for enhanced skin interaction

    Super-adhesive patches can adapt to different motions for enhanced skin interaction A research team affiliated with UNIST has unveiled an ultra-strong adhesive patch platform that adheres effectively to rough skin surfaces and shows remarkable motion adaptiveness during dynamic body movements, all while offering irritation-free removal on demand. The key to this technology lies in the…

  • Study reveals need for better documentation of web crawlers

    Study reveals need for better documentation of web crawlers For the first time, CISPA researcher Aleksei Stafeev presents a study that systematizes the knowledge about tools for the automated analysis of websites, so-called web crawlers, in the field of web security measurement. Go to boat international

  • Interconnected devices and security: Designing systems to guarantee integrity, data security from Internet of Things

    Interconnected devices and security: Designing systems to guarantee integrity, data security from Internet of Things The progress of new technologies has allowed many of the devices and appliances in homes, offices, industries and streets to be connected to the network through the Internet of Things (IoT), improving and streamlining processes, jobs and even people’s quality…

  • is it even eventually consistent?

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