Google Research AI blog

FEBRUARY 10, 2023

In 2022, we continued this journey, and advanced the state-of-the-art in several related areas. We continued our efforts in developing new algorithms for handling large datasets in various areas, including unsupervised and semi-supervised learning , graph-based learning , clustering , and large-scale optimization.

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IBM Journey to AI blog

AUGUST 11, 2023

Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022. This advancement in AI means that data sets aren’t task specific—the model can apply information it’s learned about one situation to another.

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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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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning types Machine learning algorithms fall into five broad categories: supervised learning, unsupervised learning, semi-supervised learning, self-supervised and reinforcement learning. Manage a range of machine learning models with watstonx.ai temperature, salary).

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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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Google Research AI blog

JANUARY 18, 2023

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series.

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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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Dataconomy

APRIL 4, 2023

Reminder : Training data refers to the data used to train an AI model, and commonly there are three techniques for it: Supervised learning: The AI model learns from labeled data, which means that each data point has a known output or target value. In March of 2022, DeepMind released Chinchilla AI.

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Dataconomy

APRIL 4, 2023

Reminder : Training data refers to the data used to train an AI model, and commonly there are three techniques for it: Supervised learning: The AI model learns from labeled data, which means that each data point has a known output or target value. In March of 2022, DeepMind released Chinchilla AI.

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Heartbeat

NOVEMBER 16, 2023

The process involves supervised learning (SL) and reinforcement learning (RL) phases. Here’s a summary of the key points: The paper introduces a method called “Constitutional AI” (CAI) which aims to train a harmless AI assistant using self-improvement without human labels for harmful outputs.

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Explosion

MAY 17, 2023

Once you’re past prototyping and want to deliver the best system you can, supervised learning will often give you better efficiency, accuracy and reliability than in-context learning for non-generative tasks — tasks where there is a specific right answer that you want the model to find. That’s not a path to improvement.

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Hacker News

MAY 3, 2023

In the past months, an exquisitely human-centric approach called Reinforcement Learning from Human Feedback (RLHF) has rapidly emerged as a tour de force in the realm of AI alignment. Fine-tuning may involve further training the pre-trained model on a smaller, task-specific labeled dataset, using supervised learning.

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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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Heartbeat

FEBRUARY 28, 2023

U-Net , U-Net++ ], whereas unsupervised learning eliminates this requirement [see this r eview paper ]. Semi-supervised learning lies in between supervised and unsupervised learning, which we will learn in detail in the following sections. What is Semi-supervised Learning (SSL)?

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AssemblyAI

JULY 18, 2023

For further details please reference our blog on how to evaluate speech recognition models. We have begun to observe diminishing returns and are already exploring other promising research directions into multimodality and self-supervised learning. " arXiv preprint arXiv:2203.15556 (2022). [2] Panayotov, G.

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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.” A remote human teleoperator at Phantom Auto, a software platform for enabling remote driving over the Internet.

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DataRobot Blog

DECEMBER 15, 2022

supervised learning and time series regression). To see a demo on how you can leverage AI to make forecasting better, and accelerate the machine learning life cycle, please watch the full video, AI-Powered Forecasting: From Data to Consumption. AI Experience 2022 Recordings. 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. It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology. Like its predecessors, ChatGPT generates text in a variety of styles, for a variety of purposes.

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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. What would we get?

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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. What would we get?

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AssemblyAI

AUGUST 22, 2023

ChatGPT catapulted LLMs into the public eye at the end of 2022. Using such data to train a model is called “supervised learning” On the other hand, pretraining requires no such human-labeled data. Reinforcement learning is a great candidate for this sort of task.

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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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AWS Machine Learning Blog

OCTOBER 4, 2023

Train an ML model on the preprocessed images, using a supervised learning approach to teach the model to distinguish between different skin types. On the Automatic Detection and Classification of Skin Cancer Using Deep Transfer Learning. 2022 Jun 30;22(13):4963. Citation [1]Fraiwan M, Faouri E. Sensors (Basel).

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