Flipboard

JANUARY 5, 2024

At Columbia University’s Science of Learning Research Initiative (SOLER), our work is dedicated to examining the academic experience of our students and instructors through a scientific lens. Much of the discourse about generative AI in higher ed has focused on issues of academic integrity.

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NYU Center for Data Science

JULY 13, 2023

Berfin is a fifth-year doctoral researcher at Ecole Polytechnique Fédérale de Lausanne (EPFL) in Computer and Communication Sciences. She brings a robust background in mathematics and physics, and her research focuses on neural network theory and other related areas such as random features and out-of-distribution generalization.

Deep Learning 74

Deep Learning Deep Learning Machine Learning Machine Learning 74

Data Science Dojo

NOVEMBER 10, 2023

Jax: Jax is a high-performance numerical computation library for Python with a focus on machine learning and deep learning research. It is developed by Google AI and has been used to achieve state-of-the-art results in a variety of machine learning tasks, including generative AI.

Python 524

Python AI AI Machine Learning 524

Google Research AI blog

APRIL 19, 2023

This endeavor necessitates fundamental and applied research with an interdisciplinary lens that engages with — and accounts for — the social, cultural, economic, and other contextual dimensions that shape the development and deployment of AI systems. Our team, Technology, AI, Society, and Culture (TASC), is addressing this critical need.

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Data Science 101

NOVEMBER 11, 2019

Welcome to the first beta edition of Cloud Data Science News. This will cover major announcements and news for doing data science in the cloud. SQL Server 2019 SQL Server 2019 went Generally Available. Skaffold goes General Audience (GA) Skaffold is an environment for simplifying Kubernetes development. Microsoft Azure.

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Cloud Data Data Science Azure Clustering 95

IBM Journey to AI blog

APRIL 18, 2024

A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work.

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Data Science Dojo

FEBRUARY 17, 2023

If you are a networking entrepreneur or notable leader in your company and wondering how your organization can benefit by getting actively involved in data science communities, this writing piece is for you. A fusion of advanced statistics, advanced mathematics, AI (Artificial Intelligence), and machine learning, Data science is here to stay.

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Data Science Dojo

FEBRUARY 17, 2023

If you are a networking entrepreneur or notable leader in your company and wondering how your organization can benefit by getting actively involved in data science communities, this writing piece is for you. A fusion of advanced statistics, advanced mathematics, AI (Artificial Intelligence), and machine learning, Data science is here to stay.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Dataconomy

MAY 10, 2024

One of the most recognizable trends of the early years of the 21st century has been the spread and application of AI (Artificial Intelligence) within many professional areas. How this AI biasness algorithms and Machine learning working practically that you can understanding from multiple AI tutorial or Data Science Course available online.

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Machine Learning Machine Learning Algorithm Artificial Intelligence 103

DrivenData Labs

MARCH 30, 2023

In Phase 3: Red Teaming , independent red teams of privacy researchers scrutinized and tested the blue team prototypes for privacy vulnerabilities. Generalizability : Is the attack specific to the target solution, or does it generalize to other solutions? You can meet the U.K. winners in a parallel announcement by Innovate UK.

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Machine Learning Machine Learning Data Science Algorithm 162

DrivenData Labs

MAY 24, 2023

Currently pursuing graduate studies at NYU's center for data science. Alejandro Sáez: Data Scientist with consulting experience in the banking and energy industries currently pursuing graduate studies at NYU's center for data science. He is interested in researching human cognition and computational methods for modeling the brain.

Machine Learning 225

Machine Learning Machine Learning Decision Trees Data Science 225

Dataconomy

MARCH 26, 2024

One of the most recognizable trends of the early years of the 21st century has been the spread and application of AI (Artificial Intelligence) within many professional areas. How this AI biasness algorithms and Machine learning working practically that you can understanding from multiple AI tutorial or Data Science Course available online.

Machine Learning 127

Machine Learning Machine Learning Algorithm Artificial Intelligence 127

ODSC - Open Data Science

SEPTEMBER 13, 2023

The main aim of my talk at ODSC West will be to enable the attendees to assimilate the key concepts in the area, and position graph representation learning in a proper context with related fields, making graph representation learning easy to navigate, leverage, and contribute to.

Deep Learning 52

Deep Learning Deep Learning Data Science Machine Learning 52

NYU Center for Data Science

JULY 28, 2023

The international machine learning educational summit, held from July 8th through the 16th, was organized by AI for Global Goals in collaboration with the University of Oxford Deep Medicine and the Canadian Institute for Advanced Research (CIFAR). At CDS, He’s research focuses on increasing the trustworthiness of human-AI collaboration.

Machine Learning 82

Machine Learning Machine Learning Computer Science Computer Science 82

NYU Center for Data Science

JULY 21, 2023

The Minds, Brains, & Machines (MBM) initiative at NYU , sponsored and supported by the Center for Data Science, was created to stand as a world-class nexus for this kind of research, doing its part to facilitate what may be, in an unprecedented era of AI explosion, currently the world’s most important cross-disciplinary conversation.

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Data Science Artificial Intelligence Artificial Intelligence Deep Learning 85

Smart Data Collective

JANUARY 27, 2022

Thus, IT, automation, and robotics will affect all areas of life. A team of researchers from the University of Wisconsin discussed this in their study Big Data Application in Biomedical Research and Health Care: A Literature Review. There is already a division into areas: industrial robots, home, medical, gaming, and so on.

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Big Data Big Data Internet of Things Data Analyst 129

DataRobot

DECEMBER 1, 2021

Bren Professor of Technology at California Institute of Technology (CalTech), Anima joined Nvidia three years ago as the Director of Machine Learning Research. It has also promoted its Common Unified Device Architecture (CUDA) open source framework, which enables the use of GPUs for general-purpose computing. million developers.

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AI AI Machine Learning Machine Learning 145

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.

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ODSC - Open Data Science

MARCH 11, 2024

Google’s DeepMind is elbow-deep in some incredible pieces of research and AI innovation. So let’s take a quick dive and see what the team is up to and hopefully get an idea of what the future might hold for the prestigious research team.

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Algorithm Data Science Data Engineering Data Engineer 52

Tableau

FEBRUARY 24, 2021

Research Scientist, Tableau. Data science has exploded over the past decade, changing the way that we conduct business and prepare the next generation of young people for the jobs of the future. What is data science? It turns out data science is different things to different people. Ana Crisan. Kristin Adderson.

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Data Science Data Scientist Data Visualization Computer Science 97

Dataconomy

AUGUST 2, 2023

For decades, researchers have strived to unlock its full potential, seeking to discover materials that can exhibit superconducting properties at room temperature. Historically, superconductivity was only observed at extremely low temperatures and is considered a holy grail in the field of science and engineering.

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Artificial Intelligence Artificial Intelligence Data Analysis Data Analysis 172

ODSC - Open Data Science

MARCH 22, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. Mathematics for Data Science Data science uses a combination of mathematics, statistics, and computer science to help us solve questions of importance in a large number of fields.

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Machine Learning Machine Learning Data Science Artificial Intelligence 98

Pickl AI

JULY 17, 2023

Data Science is a rapidly growing field and you need to understand the importance of Data Science courses. Data Science Bootcamp vs Degree programs are the two different types of courses that aspirants get confused while opting for a course. The field has gained momentum in the market for a few years now.

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Data Science Data Visualization Machine Learning Machine Learning 52

Dataconomy

JUNE 29, 2023

These libraries, with their rich functionalities and comprehensive toolsets, have become the backbone of data science and machine learning practices. Thanks to the power of Python and its extensive collection of libraries, modules, and frameworks, the area of machine learning has been revolutionized.

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Machine Learning Machine Learning Deep Learning Deep Learning 113

ODSC - Open Data Science

MARCH 24, 2023

LLMs can also be used to monitor patients and provide real-time alerts, analyze scientific research to help identify new drugs, analyze electronic health records to improve patient care, and to provide interactive simulations and virtual patient interactions to help with education.

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Data Science Artificial Intelligence Artificial Intelligence Deep Learning 84

Google Research AI blog

MARCH 16, 2023

The team’s mission is to examine socioeconomic and human rights impacts of AI, publish foundational research, and incubate novel mitigations enabling machine learning (ML) practitioners to advance global equity. Our work gives weight to Google's AI Principles.

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ML @ CMU

JUNE 30, 2023

For researchers, we identify two key issues that prevent today’s simulators from being reliable evaluation benchmarks — (A) a large Sim-to-Real gap in images and (B) a disconnect between simulation and real-world error modes.

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Analytics Analytics Machine Learning Machine Learning 222

AWS Machine Learning Blog

MARCH 30, 2023

In general, these requirements diverge substantially from the use cases of typical ML object detection models. IoU calculates the alignment between two annotations by dividing the annotations’ area of overlap by the annotations’ area of union, yielding a metric that ranges from 0–1.

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Machine Learning Machine Learning ML ML 83

Hacker News

MAY 13, 2023

The CHIPS and Science Act , aimed at kick-starting chip manufacturing in the United States, only began taking requests for pieces of its US $50 billion in March, but chipmakers were already gearing up beforehand. with a focus on materials science and solid-state physics so she can go on to work in chip manufacturing.

Computer Science 178

Computer Science Computer Science 178

ODSC - Open Data Science

SEPTEMBER 19, 2023

Through brainstorming sessions, user feedback analysis, and market research, they identify opportunities for enhancing the models they’re working on. Engineers delve into the architecture of LLMs, identifying potential bottlenecks and areas for improvement. If anything, it’s more important.

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Natural Language Processing Data Science Supervised Learning Computer Science 98

ODSC - Open Data Science

OCTOBER 13, 2023

It’s a long process where we research what’s important in the field of AI today, and decide on who are the best people in the field to talk about it. This is a critical area of research for developing more general-purpose AI systems. This is a critical area of research for developing more general-purpose AI systems.

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Hacker News

MARCH 25, 2022

Stanford researchers called transformers “foundation models” in an August 2021 paper because they see them driving a paradigm shift in AI. They’re helping researchers understand the chains of genes in DNA and amino acids in proteins in ways that can speed drug design. What Can Transformer Models Do? We know “it” refers to the pitcher.

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Machine Learning Machine Learning AI AI 181

ODSC - Open Data Science

FEBRUARY 5, 2024

Open Data Science Blog Recap: A new open-source Python-based framework is promising data scientists the ability to create full-stack applications ( Source ) A new study reported a new AI-powered method of identifying Crop-livestock integration areas by analyzing satellite images. Surya  — A multilingual document OCR toolkit.

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Artificial Intelligence Artificial Intelligence AI AI 52

Pickl AI

SEPTEMBER 25, 2023

As the world of Data Science continues to expand, so does the demand for qualified professionals. Individuals with expertise in Data Science can explore a host of career opportunities across the industry spectrum. This has triggered the growing inclination to learn Data Science. What is Data Science?

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ODSC - Open Data Science

MAY 19, 2023

Should Artificial General Intelligence Still Be Pursued Despite the Risks? Many AI researchers agree that artificial general intelligence is becoming increasingly feasible. Should work in this area continue regardless of the potential dangers? Midjourney 5.1 However, some worry about the associated risks.

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Azure Data Science Python AI 52

DrivenData Labs

APRIL 13, 2023

Dr. Rick Stumpf, Oceanographer, NOAA, National Centers for Coastal Ocean Science Motivation ¶ Inland water bodies provide a variety of critical services for both human and aquatic life, including drinking water, recreational and economic opportunities, and marine habitats. What features did you select for use in your model and why?

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Applied Data Science

DECEMBER 23, 2022

Dall-e , and pre-2022 tools in general, attributed their success either to the use of the Transformer or Generative Adversarial Networks. These models are disrupting many industries: from online content generation to art, today’s Text-to-Image models can for the first time compete with humans in ingenuity and complexity.

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