Tag

Data Science

All articles tagged with #data science

technology1 day ago•10 min saved

The AI-Driven Leap: Mass-Produced Science and the Scientist's New Role

AI could mass-produce high-quality science—new analyses, data, figures, and conclusions—at low cost, benefiting the public and patients, but it will also create challenges in separating quality work from low-quality output. Reliability will hinge on new practices like open data, preregistration, and robust validation. Humans will still guide which questions to pursue, refine concepts, design and interpret experiments, and curate trustworthy results. The shift may resemble the Industrial Revolution: some jobs vanish while new roles emerge, with AI-enabled data integration and personalized review accelerating discoveries while reshaping careers in science.

via The Transmitter|

#artificial-intelligence #data-science #neuroscience

careers6 days ago•7 min saved

Healthcare and Data Pros Lead Monster’s Workplace-Experience Ranking

Monster’s analysis of employee reviews from early 2026 through April identifies 15 roles with the strongest workplace experiences across eight job categories. Topping the list are healthcare practitioners (3.86), mathematics and data science professionals (3.85), science technicians (3.81), education and library professionals (3.78), and life science professionals (3.78), with several education, law, and finance roles also in the mix. The study emphasizes that strong workplace experiences are achievable across diverse fields and are shaped by factors beyond pay—such as workplace culture, leadership quality, growth opportunities, and work-life balance—noting the gap between the top roles and others is relatively narrow.

via Business Insider|

#careers #data-science #healthcare

technology2 months ago•5 min saved

Physics PhD Sparks Skepticism and Clarity in a Meta Data Scientist

A Meta data scientist with a physics PhD explains how rigorous research habits, skepticism, and strong communication from academia translate to data work, the challenge of translating academia to corporate roles, and the value of curiosity and upskilling in Big Tech.

via Business Insider|

#big-tech #career-transition #data-science

health9 months ago•1 min saved

NIH to Invest Millions in Accelerating Autism Research

The NIH is investing millions to enhance autism research through the Autism Data Science Initiative, aiming to accelerate understanding of autism's genetic and environmental factors, following a White House announcement.

via PBS|

#autism #data-science #genetics

technology10 months ago•4 min saved

Geographers Remain Essential

Microsoft's claim that AI will make geographers obsolete is challenged by Trisalyn Nelson, who argues that AI actually enhances the field by enabling geographers to analyze vast amounts of geographic data more efficiently, thereby increasing their impact on solving global challenges. Geographers use advanced technology to address issues like urban planning, environmental management, and disaster response, making their profession more vital and relevant than ever in the age of AI.

via The Santa Barbara Independent|

#ai #career-impact #data-science

business1 year ago•1 min saved

Glassdoor CEO Reveals Top AI Jobs and a Fading Role

Glassdoor CEO Christian Sutherland-Wong highlights the impact of AI on the job market, noting a surge in demand for roles like machine learning engineers and data scientists, while positions such as copywriters are declining due to advancements in generative AI.

via Fortune|

#ai #business #creative-writing

science-and-technology1 year ago•3 min saved

Decoding Emotional Responses: The Science Behind Music Preferences

Researchers have empirically quantified the emotional impact of music by analyzing the predictability of musical sequences, using time series analysis to measure the 'transition times' from predictable to unpredictable patterns. This study, published in Nature Communications, examined over 450 jazz improvisations and 99 classical compositions, revealing that jazz typically has shorter transition times, making it less predictable than classical music. The research also found that Mozart's compositions tend to have longer transition times compared to Bach's, offering more predictability and less variability.

via SciTechDaily|

#classical-music #data-science #emotions

technology1 year ago•31 min saved

AI's Impact on Predictive Science

In a Quanta Magazine podcast, statistician Emmanuel Candès discusses how AI and machine learning are transforming the science of prediction across various fields, including college admissions, election forecasting, and drug discovery. The conversation highlights the use of 'black box' models, which can make accurate predictions without a deep understanding of the underlying phenomena, and the importance of quantifying uncertainty in these predictions. Candès emphasizes the evolving role of statistics in this new landscape, advocating for a balance between traditional statistical methods and modern data science techniques.

via Quanta Magazine|

#ai #data-science #machine-learning

gaming2 years ago•1 min saved

"Optimizing Mario Kart 8: Finding the Ultimate Racer Using Pareto Analysis"

Data scientist Antoine Mayerowitz applies the Pareto front, a principle from 19th-century economist Vilfredo Pareto, to determine the best character, vehicle, and wheels combinations in Mario Kart 8. By narrowing down the 703,560 possible decisions to 25,704, Mayerowitz plots the potential builds on a chart, revealing the most optimal choices based on speed and acceleration. The best build for prioritizing speed and acceleration is Peach on the Teddy Buggy with roller tires and the Cloud Glider.

via The Verge|

#character-optimization #data-science #data-visualization

technology2 years ago•4 min saved

"Google's NotebookLM: The Ultimate Writing Assistant for Data Science"

Google's NotebookLM is an experimental product based on large language models that allows users to upload up to 10 documents, including Google Docs and PDFs, to understand and analyze data. It offers features such as summarization, terminology extraction, trend analysis, and creative assistance. NotebookLM addresses limitations of other applications like ChatGPT and Poe by allowing users to upload multiple documents and understand large documents quickly. While NotebookLM is currently in its early testing phase and limited to the U.S. and personal Google accounts, it has the potential to become an essential tool for data scientists as it continues to evolve.

via KDnuggets|

#data-science #google #large-language-models

science-and-astronomy2 years ago•2 min saved

"Unveiling the Secrets of the Universe: Data Science Revolutionizes Space Exploration"

Researchers at Johns Hopkins University have developed a data science method to match astronomical objects across different surveys, allowing for a deeper understanding of the cosmos. By assigning a "score" to pairs of observations from different surveys, the researchers were able to quickly and effectively match objects between 100 different catalogs. This method helps scientists extract more knowledge from the vast amount of data collected by telescopes, contributing to the building of theories about the universe. The team's code is publicly available, and their research was published in The Astronomical Journal.

via Space.com|

#astronomical-objects #data-science #johns-hopkins-university

science-and-technology2 years ago•3 min saved

Revolutionary Technique for Celestial Object Matching Across Telescopes

Researchers at Johns Hopkins University have developed a data science approach that can match observations of celestial objects taken across multiple telescope surveys. This method assigns a "score" to each pair of observations, increasing the likelihood that they are of the same object based on their angular distance in the sky. The tool improves the accuracy and reliability of astronomical catalogs, enabling deeper insights into the universe. The method is fast, handles vast datasets, and outperforms previous approaches in finding accurate matches between observations. Further validation and consensus within the astronomy community are needed for broader adoption.

via Phys.org|

#astronomy #celestial-objects #data-science

technology2 years ago•3 min saved

Seamless Python integration in Excel: Microsoft's latest update

Microsoft is introducing Python support in Excel, allowing users to write and run Python code directly within the spreadsheet editor. This integration extends Excel's data science capabilities, enabling users to perform advanced data analysis, create visualizations, and train machine learning models. The new version of Excel comes with preinstalled Python modules, eliminating the need for manual installation and configuration. This integration simplifies the workflow for data scientists who previously had to switch between separate code editors and Excel.

via SiliconANGLE News|

#data-science #excel #integration

technology2 years ago•3 min saved

"Excel gets a Python boost with Microsoft's new scripting feature"

Microsoft has introduced support for running Python code within Excel, partnering with Anaconda to provide its data science-oriented Python distribution. This integration allows Excel users to create more sophisticated visualizations, data manipulation, analytics, and machine learning models with their spreadsheet data. The Python code runs on hypervisor isolated containers built on Azure Container Instances, ensuring security and preventing access to the user's computer or network. This feature is currently available in the Excel public preview and will bring Python scripting capabilities to the world's most popular spreadsheet software.

via The Register|

#anaconda #data-science #excel

technology2 years ago•1 min saved

"Microsoft Excel Embraces Python Integration"

Microsoft has announced the release of a public preview of Python in Excel, allowing users to add Python code directly into a spreadsheet. This integration enables data analysts, engineers, marketers, and students learning data science to perform complex statistical analysis, advanced visualizations, predictive analytics, and machine learning within Excel. Users can enter Python code directly into cells using the new =PY function, leveraging the Anaconda distribution of Python, which includes pre-packaged libraries and packages. The functionality runs on the Microsoft Cloud with enterprise-level security, ensuring data privacy and authorized operations. The public preview is available to Microsoft 365 Insiders using the Beta Channel in Excel for Windows.

via ZDNet|

#data-analysis #data-science #machine-learning