Data Science Dojo

JANUARY 13, 2023

This will help you to learn and grow your career in data science, AI and machine learning. AAAI Conference on Artificial Intelligence – Washington DC, United States The AAAI Conference on Artificial Intelligence (AAAI) is a leading conference in the field of artificial intelligence research.

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Data Science Dojo

APRIL 16, 2024

Machine learning (ML) engineer Potential pay range – US$82,000 to 160,000/yr Machine learning engineers are the bridge between data science and engineering. They are responsible for building intelligent machines that transform our world. Hence, the final goal becomes the extraction of meaning from data.

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Towards AI

FEBRUARY 16, 2024

Image adapted from Adobe Stock Machine learning is becoming a significant tool in the field of chemistry, providing new opportunities in various areas such as drug discovery and materials science. Recently, the combination of machine learning and chemistry has made significant progress. Published via Towards AI

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Dataconomy

MAY 16, 2023

Machine learning engineer vs data scientist: two distinct roles with overlapping expertise, each essential in unlocking the power of data-driven insights. As businesses strive to stay competitive and make data-driven decisions, the roles of machine learning engineers and data scientists have gained prominence.

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Data Science Dojo

OCTOBER 3, 2023

Sanmi Koyejo and Bo Li, experts in computer science, delve into this question through their research, evaluating GPT-3.5 While the newer models exhibit reduced toxicity on standard benchmarks, the researchers find that they can still be influenced to generate toxic and biased outputs, highlighting the need for caution in sensitive areas.

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NYU Center for Data Science

JUNE 16, 2023

A PhD candidate in the Machine Learning Group at the University of Cambridge advised by Adrian Weller , Umang will continue to pursue research in trustworthy machine learning, responsible artificial intelligence, and human-machine collaboration at NYU. His work has been covered in press (e.g.,

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Data Science Dojo

JUNE 5, 2023

Deepfakes refer to synthetic media, particularly videos, which are created using advanced machine learning techniques. The process involves training deep neural networks on vast amounts of data, such as images and videos, to learn patterns and recreate them in a realistic manner. Deepfake technology 1.

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Towards AI

MAY 9, 2024

Now, for this week’s issue, thanks to the combined efforts of the community, we have some new research and collaborations for you and a meme that is either funny or existential! Louis-François Bouchard, Towards AI Co-founder & Head of Community Learn AI Together Community section! Watch this space for the updates!

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Towards AI

APRIL 25, 2024

This week, the community has several exciting events, collaboration opportunities, and projects. We are also close to releasing a few amazing resources and need your help in the poll to know what you want to learn more about. Louis-François Bouchard, Towards AI Co-founder & Head of Community Learn AI Together Community section!

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Dataconomy

MAY 10, 2024

However, ethical concerns have risen to dominate as these artificial intelligence systems including machine learning algorithms penetrate our daily lives. Such prejudices are usually derived from the data used for training machine learning models. Featured image credit : kjpargeter/Freepik

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NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group.

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DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. That’s why the U.S. The goal of the U.S.-U.K.

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Dataconomy

MARCH 19, 2024

Get ready to dive into the latest advancements in artificial intelligence as we unpack everything unveiled at GTC 2024, the premier AI conference for developers, business leaders, and AI researchers. Enhanced partnership between Google Cloud and NVIDIA is announced to support the machine learning (ML) community.

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NYU Center for Data Science

JULY 18, 2023

Read about the research groups at CDS working to advance data science and machine learning! CDS includes a range of research groups that bring together NYU professors, faculty fellows, and PhD students working at various intersections of data science, machine learning, and artificial intelligence.

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Towards AI

FEBRUARY 1, 2024

This episode is perfect for those curious about how AI is not just a tool but a collaborator in the creative process, transforming traditional art forms and pioneering new expressions of creativity. Remember to explore the collaboration opportunities in our Discord community if you want to join an AI startup or seek a study partner!

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Google Research AI blog

APRIL 7, 2023

Posted by Oren Gilon, Software Engineer, and Grey Nearing, Research Scientist, Google Research Floods are the most common type of natural disaster, affecting more than 250 million people globally each year. Frederik Kratzert (Research Scientist at Google) provided an overview of the Caravan project (below).

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Data Science Connect

JULY 23, 2023

Understanding Generative AI Generative AI is a subset of artificial intelligence that involves using machine learning algorithms to create new content, such as images, music, and text. It goes beyond traditional AI models that rely on pattern recognition and prediction.

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NYU Center for Data Science

FEBRUARY 8, 2024

As part of a symbiotic research agenda emblematic of CDS wherein human and machine intelligence is explored in tandem, a recent paper published in Cognition by CDS PhD student Yanli Zhou investigates how both humans and AI models achieve visual compositionality. Humans are very compositional learners,” Zhou said.

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Dataconomy

MARCH 26, 2024

However, ethical concerns have risen to dominate as these artificial intelligence systems including machine learning algorithms penetrate our daily lives. Such prejudices are usually derived from the data used for training machine learning models. Featured image credit: Steve Johnson/Unsplash

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Towards AI

FEBRUARY 6, 2024

What you need to expect when entering the field of ML research. We all know that Machine Learning is the hottest thing to work on right now. How likely is it that you will become an ML researcher or even engineer who earns multiple 100k a year at a top company like OpenAI, Google, or Meta? Very difficult.

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DrivenData Labs

MAY 24, 2023

The NAS is investing in new ways to bring vast amounts of data together with state-of-the-art machine learning to improve air travel for everyone. Federated learning is a technique for collaboratively training a shared machine learning model across data from multiple parties while preserving each party's data privacy.

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Towards AI

APRIL 11, 2024

After a much-needed break last week, we are back with exciting collaboration opportunities, some of our best articles written by AI experts worldwide, and fun discussions on our AI polls. Louis-François Bouchard, Towards AI Co-founder & Head of Community Learn AI Together Community section! Good morning, AI enthusiasts!

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NYU Center for Data Science

APRIL 11, 2024

This post is part of a series exploring CDS Seminars Andrew Wilson speaking at his Sept 18, 2019 seminar, “How do we build models that learn?” It’s also important to us that all the incoming CDS Fellows have an opportunity to present their research.” Bhatt researches trustworthy machine learning and human-machine collaboration.

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Dataconomy

JANUARY 3, 2024

AI and machine learning have undoubtedly captured the attention of the tech world and we are closer to AI-quantum computing than we thought. The buzz around AI and machine learning isn’t just hype anymore; it’s the soundtrack to a rapidly evolving landscape. But what happens when these two giants collide?

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Machine Learning (Theory)

APRIL 23, 2021

Welcome to ALT Highlights, a series of blog posts spotlighting various happenings at the recent conference ALT 2021 , including plenary talks, tutorials, trends in learning theory, and more! To reach a broad audience, the series will be disseminated as guest posts on different blogs in machine learning and theoretical computer science.

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Dataconomy

FEBRUARY 16, 2024

Unlike traditional methods, V-JEPA focuses on understanding the bigger picture, making it easier for machines to interpret interactions between objects and scenes. Instead, it learns to understand the content and interactions within videos at a higher level of abstraction, enabling more efficient learning and adaptation across tasks.

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Towards AI

FEBRUARY 29, 2024

In this week’s Learn AI Together newsletter edition, I’m excited to introduce a new video series that will dive into AI’s impact on our society. This week, we have many collaboration opportunities and interesting reads from the community. Learn AI Together Community section! Good morning everyone! Let’s dive in!

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Hacker News

APRIL 1, 2024

Machine learning identifies patterns within it. Most of that time was spent at the company’s famed Almaden research laboratory, in San Jose, Calif. His assignment was a dream job, he says: Conduct exploratory research that could help make the company’s storage technology better. “It Ours is a data-centric world.

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Dataconomy

NOVEMBER 15, 2023

What about asking an intelligent machine for help with a physical task of ours? Autonomous mobile robots are not your average robots; they are sophisticated machines equipped with advanced sensors, artificial intelligence, and machine learning capabilities.

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Data Science Connect

JULY 17, 2023

The field of artificial intelligence (AI) continues to push the boundaries of what machines can achieve. Recognizing the untapped potential within this data, researchers and data scientists have been exploring ways to leverage it to enhance AI models. From messaging apps to social media platforms, billions of conversations occur daily.

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Towards AI

FEBRUARY 19, 2023

Exploring the Top AI Conferences in 2023: A Must-Attend for Researchers and Practitioners Alike TL;DR: Get ahead in the AI game by attending these top conferences in 2023! From NeurIPS to KDD, these events bring together the best and brightest minds in the field to share the latest research, developments, and insights.

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DagsHub

MAY 6, 2024

Intro In the rapidly evolving field of machine learning (ML) and artificial intelligence (AI), startups like MACSO are at the forefront of innovation, pushing the boundaries of what's possible with AI on edge devices. Collaborative Research : Sharing insights and data among team members to foster innovation.

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Flipboard

FEBRUARY 7, 2023

So, when confronted with everyday household items from lower-income countries, they get it right as little as 20 percent of the time, according to research presented in at NeruIPs 2022. The goal is to “make machine learning work for everyone,” says MLCommons executive director David Kanter. You can see the problem below.

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Towards AI

DECEMBER 21, 2023

I’m thrilled to share some exciting updates in this week’s Learn AI Together newsletter. This (completely free) course is our final collaboration with Towards AI, Activeloop, and the Intel Disruptor Initiative. We ran a poll asking you how familiar you were with RAG, and most of you wanted to learn more about it. So here it is!

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Smart Data Collective

JUNE 22, 2023

Taking the world by storm, artificial intelligence and machine learning software are changing the landscape in many fields. Earlier today, one analysis found that the market size for deep learning was worth $51 billion in 2022 and it will grow to be worth $1.7 Amazon has a very good overview if you want to learn more.

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NYU Center for Data Science

DECEMBER 15, 2022

The international research collaboration works to innovate current climate models Machine learning and data science are used in the field of climate science to advance research and solutions to the global crisis. The program is specifically focused on research at the “air-sea-ice interface.”

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AWS Machine Learning Blog

APRIL 29, 2024

Close collaboration with AWS Trainium has also played a major role in making the Arcee platform extremely performant, not only accelerating model training but also reducing overall costs and enforcing compliance and data integrity in the secure AWS environment.

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