Google Research AI blog

JANUARY 18, 2023

Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series. With this post, I am kicking off a series in which researchers across Google will highlight some exciting progress we've made in 2022 and present our vision for 2023 and beyond. Let’s get started!

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Dataconomy

SEPTEMBER 13, 2023

According to Gartner, a renowned research firm, by 2022, an astounding 70% of customer interactions are expected to flow through technologies like machine learning applications, chatbots, and mobile messaging. These tasks are indispensable, as algorithms heavily rely on pattern recognition to make informed decisions.

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BAIR

APRIL 20, 2022

A demonstration of the RvS policy we learn with just supervised learning and a depth-two MLP. It uses no TD learning, advantage reweighting, or Transformers! Offline reinforcement learning (RL) is conventionally approached using value-based methods based on temporal difference (TD) learning.

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Data Science Dojo

AUGUST 19, 2024

Bureau of Labor Statistics predicting a 35% increase in job openings from 2022 to 2032. They dive deep into artificial neural networks, algorithms, and data structures, creating groundbreaking solutions for complex issues. The model learns to map input features to output labels.

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AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section.

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DrivenData Labs

JUNE 14, 2023

In December 2022, DrivenData and Meta AI launched the Video Similarity Challenge. Between December 2022 and April 2023, 404 participants from 59 countries signed up to solve the problems posed by the two tracks, and 82 went on to submit solutions. student in ReLER, University of Technology Sydney, supervised by Yi Yang.

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NYU Center for Data Science

MAY 31, 2023

His paper “ CASS: Cross Architectural Self-Supervision for Medical Image Analysis ” was a joint effort with CDS MS student Pranav Singh and previous CDS Moore Sloan Faculty Fellow and Assistant Professor Elena Sizikova , now a Staff Fellow for the Center for Devices and Radiological Health (CDRH) in the Food and Drug Administration (FDA).

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BAIR

APRIL 6, 2023

The use of human teleoperation as a fallback mechanism is increasingly popular in modern robotics companies: Waymo calls it “fleet response,” Zoox calls it “TeleGuidance,” and Amazon calls it “continual learning.” Using this formalism, we can now instantiate and compare IFL algorithms (i.e., allocation policies) in a principled way.

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Pickl AI

SEPTEMBER 18, 2024

Summary: Machine Learning Engineer design algorithms and models to enable systems to learn from data. Introduction Machine Learning is rapidly transforming industries. billion in 2022 to approximately USD 771.38 They leverage data to create algorithms that allow computers to learn and make decisions independently.

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ML @ CMU

SEPTEMBER 15, 2023

At test time, we optimize only the reconstruction loss Our contributions are as follows: (i) We present an algorithm that significantly improves scene decomposition accuracy for out-of-distribution examples by performing test-time adaptation on each example in the test set independently. (ii)

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Dataconomy

AUGUST 22, 2024

I led several projects that dramatically advanced the company’s technological capabilities: Real-time Video Analytics for Security: We developed an advanced system integrating deep learning algorithms with existing CCTV infrastructure. One of the most promising trends in Computer Vision is Self-Supervised Learning.

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Dataconomy

APRIL 4, 2023

Artificial Intelligence (AI) models are the building blocks of modern machine learning algorithms that enable machines to learn and perform complex tasks. These models are designed to replicate the human brain’s cognitive functions, enabling them to perceive, reason, learn, and make decisions based on data.

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Dataconomy

APRIL 4, 2023

Artificial Intelligence (AI) models are the building blocks of modern machine learning algorithms that enable machines to learn and perform complex tasks. These models are designed to replicate the human brain’s cognitive functions, enabling them to perceive, reason, learn, and make decisions based on data.

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Pickl AI

NOVEMBER 4, 2024

in 2022, according to the PYPL Index. Its robust ecosystem of libraries and frameworks tailored for Data Science, such as NumPy, Pandas, and Scikit-learn, contributes significantly to its popularity. Mathematics is critical in Data Analysis and algorithm development, allowing you to derive meaningful insights from data.

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Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning? Self-supervised learning is a kind of machine learning that creates labels directly from the input data. Find out in the guide below.

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Becoming Human

MARCH 16, 2023

AI began back in the 1950s as a simple series of “if, then rules” and made its way into healthcare two decades later after more complex algorithms were developed. Since the advent of deep learning in the 2000s, AI applications in healthcare have expanded. A few AI technologies are empowering drug design.

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IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

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Hacker News

MAY 3, 2023

This is heavily due to the popularization (and commercialization) of a new generation of general purpose conversational chatbots that took off at the end of 2022, with the release of ChatGPT to the public. Fine-tuning may involve further training the pre-trained model on a smaller, task-specific labeled dataset, using supervised learning.

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Heartbeat

FEBRUARY 28, 2023

Finally, we will look at some of the recent semi-supervised medical image segmentation algorithms. U-Net , U-Net++ ], whereas unsupervised learning eliminates this requirement [see this r eview paper ]. What is Semi-supervised Learning (SSL)? Let’s dive in! So, let’s have an in-depth discussion on this work.

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Mlearning.ai

APRIL 13, 2023

Before we discuss the above related to kernels in machine learning, let’s first go over a few basic concepts: Support Vector Machine , S upport Vectors and Linearly vs. Non-linearly Separable Data. Support Vector Machine Support Vector Machine ( SVM ) is a supervised learning algorithm used for classification and regression analysis.

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Hacker News

MARCH 25, 2022

Transformers made self-supervised learning possible, and AI jumped to warp speed,” said NVIDIA founder and CEO Jensen Huang in his keynote address this week at GTC. Transformers are in many cases replacing convolutional and recurrent neural networks (CNNs and RNNs), the most popular types of deep learning models just five years ago.

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Mlearning.ai

JULY 31, 2023

The repository includes embedding algorithms, such as Word2Vec, GloVe, and Latent Semantic Analysis (LSA), to use with their PIP loss implementation. As such, I’ve adapted and converted the simplest algorithm (LSA) and PIP loss implementations with PyTorch and guided comments for more flexibility. References Baevski, A., and Auli, M.,

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Chatbots Life

APRIL 19, 2024

These include unsupervised or semi-supervised learning. It relies on machine learning algorithms. Two Generative AI models are generative adversarial networks (GANs) and transformer-based models. GANs excel in creating visual and multimedia data. Transformer-based models, such as GPT, specialize in generating text.

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DataRobot Blog

DECEMBER 15, 2022

supervised learning and time series regression). ML pipelines containing preprocessing steps, modeling algorithms, and post-processing steps. AI Experience 2022 Recordings. Let’s run through the process and see exactly how you can go from data to predictions. DataRobot Blueprint—from data to predictions. Watch On-Demand.

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ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. I found it interesting that ChatGPT decided to use the randomForest algorithm. It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology.

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Snorkel AI

FEBRUARY 17, 2023

Curtis Northcutt, CEO and co-founder of Cleanlab, presented the tools his company developed for cleansing data sets prior to model training at the 2022 Future of Data-Centric AI conference. First I’ll chat a bit about millions of label errors and the 10 most common machine learning benchmark data sets.

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Snorkel AI

FEBRUARY 17, 2023

Curtis Northcutt, CEO and co-founder of Cleanlab, presented the tools his company developed for cleansing data sets prior to model training at the 2022 Future of Data-Centric AI conference. First I’ll chat a bit about millions of label errors and the 10 most common machine learning benchmark data sets.

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Snorkel AI

JUNE 27, 2023

Chip Huyen, co-founder and CEO of Claypot AI gave a presentation entitled “Platform for Real-Time Machine Learning” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. I’m a co-founder of Claypot AI, and I assist with machine learning AI systems designed at Stanford. Hello, my name is Chip.

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Snorkel AI

JUNE 27, 2023

Chip Huyen, co-founder and CEO of Claypot AI gave a presentation entitled “Platform for Real-Time Machine Learning” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. I’m a co-founder of Claypot AI, and I assist with machine learning AI systems designed at Stanford. Hello, my name is Chip.

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Snorkel AI

JUNE 27, 2023

Chip Huyen, co-founder and CEO of Claypot AI gave a presentation entitled “Platform for Real-Time Machine Learning” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. I’m a co-founder of Claypot AI, and I assist with machine learning AI systems designed at Stanford. Hello, my name is Chip.

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Google Research AI blog

NOVEMBER 28, 2022

Posted by Cat Armato, Program Manager, Google This week marks the beginning of the 36th annual Conference on Neural Information Processing Systems ( NeurIPS 2022 ), the biggest machine learning conference of the year.

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AWS Machine Learning Blog

OCTOBER 4, 2023

Traditional methods require coding expertise and extensive knowledge of ML algorithms, which can be a barrier for many healthcare professionals. Train an ML model on the preprocessed images, using a supervised learning approach to teach the model to distinguish between different skin types. 2022 Jun 30;22(13):4963.

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The MLOps Blog

MARCH 21, 2023

” — Isaac Vidas , Shopify’s ML Platform Lead, at Ray Summit 2022 Monitoring Monitoring is an essential DevOps practice, and MLOps should be no different. It is very easy for a data scientist to use Python or R and create machine learning models without input from anyone else in the business operation. . Model registry.

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