BAIR

JULY 9, 2023

When training common SSL algorithms, we find that the loss descends in a stepwise fashion (top left) and the learned embeddings iteratively increase in dimensionality (bottom left). Figure 1: stepwise behavior in self-supervised learning. and “how does that learning actually occur?” lack basic answers.

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Neural Network Deep Learning Algorithm 197

Google Research AI blog

JULY 20, 2023

Technical Program Manager, Head of Societal Context Understanding Tools and Solutions (SCOUTS), Google Research AI-related products and technologies are constructed and deployed in a societal context : that is, a dynamic and complex collection of social, cultural, historical, political and economic circumstances. Posted by Donald Martin, Jr.,

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Responsible AI AI AI Algorithm 81

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.

Data Science 85

Data Science Machine Learning Natural Language Processing Robotics 85

ODSC - Open Data Science

OCTOBER 24, 2023

Then, how to essentially eliminate training, thus speeding up algorithms by several orders of magnitude? My NoGAN algorithm, probably for the first time, comes with the full multivariate KS distance to evaluate results. There are two aspects to this problem of synthesizing data. I provide a brief overview only.

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Categorization Data Science Neural Network Algorithm 98

BAIR

JULY 10, 2023

When training common SSL algorithms, we find that the loss descends in a stepwise fashion (top left) and the learned embeddings iteratively increase in dimensionality (bottom left). Figure 1: stepwise behavior in self-supervised learning. and “how does that learning actually occur?” lack basic answers.

Neural Network 100

Neural Network Deep Learning Algorithm 100

Mlearning.ai

FEBRUARY 18, 2024

Explanation of the Paper Fuzzy Cognitive Map-Based Genetic Algorithm for Community Detection. Introduction Detecting communities is an active area of research. Detecting communities in networks can be done using the genetic Algorithm(GA). 4- The genetic algorithm allows a set of genetic operations between chromosomes.

Algorithm 52

Algorithm Cognitive Map ML 52

ODSC - Open Data Science

APRIL 6, 2023

Additionally, the program could decrease the area needed for a search by as much as 97%, thus helping scientists significantly hone in their hunt for potential chemical traces of life or biosignatures. By zeroing on areas most likely to house evidence of life, mission time and resources can be saved and used elsewhere.

Machine Learning 91

Machine Learning Data Science Robotics Algorithm 91

Marktechpost

JULY 15, 2023

The Artificial Intelligence Research Institute (AIRI) and Skoltech have collaborated on a novel algorithm for optimizing information sharing across disciplines using neural networks. The theoretical underpinnings of the algorithm make its output more easily understood than competing methods.

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NYU Center for Data Science

DECEMBER 20, 2022

The NeurIPS conference strives to bolster intellectual exchange and advance research in the areas of artificial intelligence and machine learning. The NeurIPS conference strives to bolster intellectual exchange and advance research in the areas of artificial intelligence and machine learning. by Meryl Phair

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Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Google Research AI blog

MAY 25, 2023

Posted by Vincent Cohen-Addad and Alessandro Epasto, Research Scientists, Google Research, Graph Mining team Clustering is a central problem in unsupervised machine learning (ML) with many applications across domains in both industry and academic research more broadly. Source , rights: CC-BY-SA-4.0

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Algorithm Machine Learning ML Responsible AI 89

Marktechpost

JULY 23, 2023

The number of AI and, in particular, machine learning (ML) publications related to medical imaging has increased dramatically in recent years. A current PubMed search using the Mesh keywords “artificial intelligence” and “radiology” yielded 5,369 papers in 2021, more than five times the results found in 2011.

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Machine Learning Data Scarcity Algorithm AI Researcher 97

Flipboard

JUNE 20, 2023

It is an area filled with jargon, so Dezeen has produced this glossary of some of the most common and important terms. It is an area filled with jargon, so Dezeen has produced this glossary of some of the most common and important terms. In this guide , we explain the key terms in the field and why they matter.

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Topbots

MARCH 2, 2023

This pairing of physical science and mathematics continues to shape research to this day particularly in the application of partial differential equations to multivariable problems in engineering and physics. The next big advance in science was Quantum Theory. Modern science began with the work of Newton and Descartes.

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TheSequence

JANUARY 28, 2024

Edge 366: We discuss Anthropic’s Sleeper Agents research about LLM security vulnerability. These are capital-intensive problems requiring significant compute and research, and can yield asymmetric results. We also review Flowise, a visual platform for building LLM apps. You can subscribe below! What a remarkable week!"

LLM 52

LLM OpenAI AI AI 52

O'Reilly Media

APRIL 23, 2024

Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements, placing them ahead of the customer-centric results chosen by the company’s organic search algorithms, which prioritize a combination of low price, high customer ratings, and other similar factors?

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BERT Algorithm AI AI 108

ODSC - Open Data Science

MARCH 11, 2024

These sessions will cover theory, applications, and tools like GPT-4, Gemini, DALL-E, Stable Diffusion, Whisper, and more. These sessions will cover theory, applications, and tools like GPT-4, Gemini, DALL-E, Stable Diffusion, Whisper, and more. Check the ODSC East tracks out below.

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Responsible AI Deep Learning Data Science Machine Learning 52

Allen AI

JULY 8, 2023

AI2 is thrilled to have multiple researchers represented at this year’s conference. Researchers from The Allen Institute for AI, University of Utah, Cornell University, OpenAI, and the Paul G. Cartoon by Drew Dernavich, winning caption by Bennett Ellenbogen. Do Androids Laugh at Electric Sheep? Example Scenario. Carl from the U.S.

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Computational Linguistics NLP Explainability OpenAI 52

Viso.ai

JANUARY 18, 2024

The human brain has spurred countless investigations into the fundamental principles that govern our thoughts, emotions, and actions. At the heart of this exploration lies the concept of neuron activation. This process is fundamental to the transmission of information throughout our extensive neural network.

Neural Network 52

Neural Network Computer Vision Robotics Machine Learning 52

Google Research AI blog

FEBRUARY 7, 2023

Posted by Sanjiv Kumar, VP and Google Fellow, Google Research (This is Part 4 in our series of posts covering different topical areas of research at Google. Below, we highlight a panoply of works that demonstrate Google Research’s efforts in developing new algorithms to address the above challenges.

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ODSC - Open Data Science

AUGUST 21, 2023

Generative AI Join this track to gain the core skills needed to become a part of this Generative AI movement and to both develop and implement generative AI into your organization or research. These sessions will cover both theory, applications, and tools like ChatGPT, Craiyon, DALL-E, Stable Diffusion, Whisper, and more.

Data Science 52

Data Science Machine Learning Deep Learning Data Mining 52

Pickl AI

SEPTEMBER 4, 2023

It plays an important role even for research and scientific studies. Statistical Analysis: Apply statistical techniques to analyse data, including descriptive statistics, hypothesis testing, regression analysis, and machine learning algorithms. Different industries like healthcare, insurance, banking, legal, etc.,

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Data Analysis Machine Learning Python Continuous Learning 52

Mlearning.ai

JUNE 29, 2023

Photo by Aditya Chache on Unsplash DBSCAN in Density Based Algorithms : Density Based Spatial Clustering Of Applications with Noise. Earlier Topics: Since, We have seen centroid based algorithm for clustering like K-Means.Centroid based : K-Means, K-Means ++ , K-Medoids. & One among the many density based algorithms is “DBSCAN”.

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Algorithm Data Mining Categorization Deep Learning 52

Topbots

JANUARY 11, 2023

Neural Networks and Deep Learning algorithms, combined with synthetic data, are near to the current frontier in artificial intelligence (AI). This thinking created a very empirical metaphysics or theory of reality. This thinking created a very empirical metaphysics or theory of reality.

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TheSequence

NOVEMBER 22, 2023

I started out as a researcher in computer architecture, focusing on CPU and memory systems architecture. I spent a decade as an academic (Computer Sciences professor at the University of Texas at Austin) co-leading a DARPA-funded research program there. Your background, current role and how did you get started in AI?

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Neural Network Generative AI AI AI 40

Flipboard

JULY 28, 2023

” Don’t worry, you’re not the only one. This new AI wizardry from Google can be a bit of a puzzle at first. But, with a little bit of guidance, you can turn that confusion into savvy know-how and unlock its full power. And that’s what this guide is for. So buckle up, it’s time to turn uncertainty into understanding!

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Conversational AI ChatGPT Large Language Models AI Modeling 95

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. This is a great and fun way to form your own opinions about what these models can and can’t do. What happened?

Neural Network 52

Neural Network AI AI Data Science 52

Topbots

FEBRUARY 1, 2023

Much research shows that this creativity is programmed out of the child through formal education by the time the child reaches 12th grade. In Part 2 of the series we probed further into the concepts of abstraction, insight and synthetic data and introduced the possibility of AI surpassing human capabilities.

AI 52

AI AI Neural Network Artificial Intelligence 52

OpenAI

NOVEMBER 30, 2022

During the research preview, usage of ChatGPT is free. It is also a useful tool for proving other theorems in number theory User how is it used in cryptography? The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.

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TheSequence

JUNE 7, 2023

I first got interested in machine learning when I was a physics undergrad at Cambridge and saw Professor Sir David Mackay's lectures on information theory and learning algorithms. 👤 Quick bio Tell us a bit about yourself: your background, current role, and how you got started in machine learning.

LLM 72

LLM Machine Learning Generative AI Prompt Engineer 72

AI Weekly

OCTOBER 12, 2023

In the News The AI 100 2023: The top people in AI For prescient researchers, founders, and others who make up Insider's AI 100, this moment was inevitable. businessinsider.com Sponsor Beat shipping rate increases with our new parcel shipping report. Are you paying more to ship and getting less? Learn how to protect your bottom line.

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Robotics Large Language Models Deep Learning Artificial Intelligence 229

Unite.AI

SEPTEMBER 12, 2023

Prior to Insitro, he served as VP of Applied and Computational Biology at Illumina, leading research and technology development of AI and molecular assays for making genomic data more interpretable in human health. I left Stanford in 2016 to lead a research and technology development team at Illumina.

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Machine Learning LLM Data Analysis Data Science 299

Google Research AI blog

FEBRUARY 10, 2023

Posted by Vahab Mirrokni, VP and Google Fellow, Google Research (This is Part 5 in our series of posts covering different topical areas of research at Google. Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. You can find other posts in the series here.)

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Algorithm Neural Network Auto-classification ML 110

Viso.ai

APRIL 25, 2024

While bias in AI systems is a well-established research area, the field of biased computer vision hasn’t received as much attention. Bias detection in Computer Vision (CV) aims to find and eliminate unfair biases that can lead to inaccurate or discriminatory outputs from computer vision systems. Let’s get started.

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Computer Vision Categorization Algorithm Explainability 52

Unite.AI

OCTOBER 27, 2023

The issue of the alleged identity of artificial intelligence as an object of research, mentioned in the title of the article, certainly does not cover all artificial intelligence systems, including many “electronic assistants” that do not claim to be legal entities. This means that it can contain more or less elements of different types (e.g.,

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Dlabs.ai

JULY 13, 2020

You see: I had decided to build an algorithm to predict glycemia over a specific time horizon. I had data from people with diabetes: about blood sugar level, insulin dosages, ingested carbs — and I’d prepared them to use as inputs for a machine learning algorithm. As a healthy person, I must admit: I find this hard even to imagine.

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AWS Machine Learning Blog

MARCH 15, 2024

To mitigate these risks, the FL model uses personalized training algorithms and effective masking and parameterization before sharing information with the training coordinator. This post is co-written with Chaoyang He, Al Nevarez and Salman Avestimehr from FedML.

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Ofemwire

MAY 1, 2023

Yes, Chatgpt might save the day when you’re stuck on a project or conducting research, but relying on it is not always a good idea. When it comes to creating content, many businesses are turning to Chatgpt to save time and money. However, there are some disadvantages of chatgpt content that you cant solely rely on.

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