BAIR

MARCH 11, 2024

graduates have each expanded the frontiers of AI research and are now ready to embark on new adventures in academia, industry, and beyond. These fantastic individuals bring with them a wealth of knowledge, fresh ideas, and a drive to continue contributing to the advancement of AI.

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AI Weekly

AUGUST 10, 2023

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications. 1.41%) (BRK.B

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AssemblyAI

MARCH 21, 2023

What is the current role of GNNs in the broader AI research landscape? Let’s take a look at some numbers revealing how GNNs have seen a spectacular rise within the research community. We find that the term Graph Neural Network consistently ranked in the top 3 keywords year over year.

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Bugra Akyildiz

FEBRUARY 26, 2025

Stanford CS224n: Natural Language Processing with Deep Learning Stanford’s CS224n stands as the gold standard for NLP education, offering a rigorous exploration of neural architectures, sequence modeling, and transformer-based systems. 11-777 appeals to researchers building embodied AI or multimedia systems.

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Marktechpost

SEPTEMBER 21, 2024

Artificial intelligence (AI) research has increasingly focused on enhancing the efficiency & scalability of deep learning models. These models have revolutionized natural language processing, computer vision, and data analytics but have significant computational challenges.

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AssemblyAI

SEPTEMBER 4, 2024

  Recent advancements in the AI research behind speech recognition technology have made speech recognition models more accurate and accessible than ever before.   Today, deep learning technology, heavily influenced by Baidu’s seminal paper Deep Speech: Scaling up end-to-end speech recognition , dominates the field.

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AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics.

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Marktechpost

MARCH 15, 2024

Traditionally anchored by statistical models like ARIMA, the domain has witnessed a paradigm shift with the advent of deep learning. This process involves scaling and quantizing the data into discrete bins, similar to how words form a vocabulary in language models. The performance of Chronos is truly impressive.

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Marktechpost

OCTOBER 18, 2023

In recent research, a team of researchers has introduced a deep learning compiler specifically made for neural network training. This deep learning compiler has been developed with a sync-free optimizer implementation. Another important feature of this deep-learning compiler is compiler caching.

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AI Weekly

JULY 27, 2023

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation.

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Marktechpost

JULY 12, 2023

Advances in Deep Learning Methodologies are greatly impacting the Artificial Intelligence community. Deep Learning techniques are being widely used in almost every industry, be it healthcare, social media, engineering, finance, or education.

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AI Weekly

APRIL 11, 2024

Generative AI is igniting a new era of innovation within the back office. No legacy process is safe. tweaktown.com Research Researchers unveil time series deep learning technique for optimal performance in AI models A team of researchers has unveiled a time series machine learning technique designed to address data drift challenges.

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AI Weekly

FEBRUARY 22, 2024

artificialintelligence-news.com Google’s new AI hub in Paris proves that Google feels insecure about AI This morning, Google’s CEO Sundar Pichai inaugurated a new hub in Paris dedicated to AI. Join the AI conversation and transform your advertising strategy with AI weekly sponsorship This RSS feed is published on [link].

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Marktechpost

JUNE 14, 2024

This article lists the top AI courses by Stanford that provide essential training in machine learning, deep learning, natural language processing, and other key AI technologies, making them invaluable for anyone looking to excel in the field.

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Unite.AI

SEPTEMBER 20, 2023

Hugging Face is an AI research lab and hub that has built a community of scholars, researchers, and enthusiasts. In a short span of time, Hugging Face has garnered a substantial presence in the AI space. These are deep learning models used in NLP.

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NVIDIA

OCTOBER 6, 2023

Researchers from the Universities of California at Berkeley and Santa Cruz, and the Technical University of Munich recently released a paper describing a new model that delivers deep learning to earthquake forecasting. Enhanced data is meanwhile helping to fill the void. And you can see that going in the right direction.”

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Marktechpost

DECEMBER 31, 2023

Large Language Models (LLMs), the latest innovation of Artificial Intelligence (AI), use deep learning techniques to produce human-like text and perform various Natural Language Processing (NLP) and Natural Language Generation (NLG) tasks.

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AI Weekly

JULY 13, 2023

Dr Hiroaki Kitano, Japanese artificial intelligence researcher, holding two members of his miniature robot football team.Peter Menzel/Science Source RoboCup’s original goal, as defined by founding president Hiroaki Kitano. Machine Learning Generative AI builds on the foundation of machine learning, which.

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AI Weekly

DECEMBER 14, 2023

businessinsider.com Research 10 GitHub Repositories to Master Machine Learning It covers a wide range of topics such as Quora, blogs, interviews, Kaggle competitions, cheat sheets, deep learning frameworks, natural language processing, computer vision, various machine learning algorithms, and ensembling techniques.

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Topbots

DECEMBER 5, 2023

Top 10 AI Research Papers 2023 1. Sparks of AGI by Microsoft Summary In this research paper, a team from Microsoft Research analyzes an early version of OpenAI’s GPT-4, which was still under active development at the time. Sign up for more AI research updates. Enjoy this article?

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Pickl AI

DECEMBER 26, 2024

Summary: Amazon’s Ultracluster is a transformative AI supercomputer, driving advancements in Machine Learning, NLP, and robotics. Its high-performance architecture accelerates AI research, benefiting healthcare, finance, and entertainment industries.

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Probably Approximately a Scientific Blog

JANUARY 12, 2021

In the last 5 years, popular media has made it seem that AI is nearly if not already solved by deep learning, with reports on super-human performance on speech recognition, image captioning, and object recognition. Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right).

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Unite.AI

OCTOBER 22, 2024

Understanding Computational Complexity in AI The performance of AI models depends heavily on computational complexity. This term refers to how much time, memory, or processing power an algorithm requires as the size of the input grows. Essentially, they are all about improving efficiency and speeding up AI processes.

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IBM Journey to AI blog

OCTOBER 12, 2023

Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention. Emotion AI is a theory of mind AI currently in development.

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Marktechpost

DECEMBER 19, 2023

Advancements in deep learning have influenced a wide variety of scientific and industrial applications in artificial intelligence. In natural language processing, models like GPT-3, ChatGPT LLaMA, and Chinchilla demonstrate the power of Transformers. If you like our work, you will love our newsletter.

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Marktechpost

JULY 23, 2023

The human brain, regarded as the paradigm for neural network theories, concurrently processes information from various sensory inputs, such as visual, auditory, and tactile signals. However, due to the huge modality gap in deep learning, constructing a unified network capable of processing various input forms takes a lot of work.

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Towards AI

FEBRUARY 19, 2023

For researchers and practitioners in the field, staying current and connected is vital, and attending top AI conferences in 2023 can offer unique opportunities for collaboration, inspiration, and professional growth. NeurIPS 2023 is set to take place in Vancouver, Canada, in December. AISTATS 2023 will be held in Barbados in April.

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AWS Machine Learning Blog

MARCH 21, 2025

Generate metadata Using natural language processing, you can generate metadata for the paper to aid in searchability. However, the lower and fluctuating validation Dice coefficient indicates potential overfitting and room for improvement in the models generalization performance. samples/2003.10304/page_0.png'

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Towards AI

APRIL 5, 2023

Picture created with Dall-E-2 Yoshua Bengio, Geoffrey Hinton, and Yann LeCun, three computer scientists and artificial intelligence (AI) researchers, were jointly awarded the 2018 Turing Prize for their contributions to deep learning, a subfield of AI.

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Marktechpost

NOVEMBER 12, 2023

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving. If you like our work, you will love our newsletter.

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Marktechpost

JUNE 3, 2024

Deep learning foundation models revolutionize fields like protein structure prediction, drug discovery, computer vision, and natural language processing. They rely on pretraining to learn intricate patterns from diverse data and fine-tuning to excel in specific tasks with limited data.

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Marktechpost

OCTOBER 17, 2023

ProGen’s underlying methodology involves a next-token prediction mechanism similar to the predictive algorithms utilized in natural language processing. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter. We are also on WhatsApp.

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AssemblyAI

MAY 3, 2023

Effective methods allowing for better control, or steerability , of large-scale AI systems are currently in extremely high demand in the world of AI research. This process of adapting pre-trained models to new tasks or domains is an example of Transfer Learning , a fundamental concept in modern deep learning.

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Unite.AI

FEBRUARY 16, 2024

AGI, on the other hand, would have the ability to understand and reason across multiple domains, such as language, logic, creativity, common sense, and emotion. It has been the guiding vision of AI research since the earliest days and remains its most divisive idea. AGI is not a new concept.

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Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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Flipboard

FEBRUARY 10, 2025

For a comprehensive list of supported deep learning container images, refer to the available Amazon SageMaker Deep Learning Containers. In this post, we use a DeepSeek-R1-Distill-Llama-70B SageMaker endpoint using the TGI container for agentic AI inference. Focus on AI Research and Development** . . . .

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Marktechpost

JULY 12, 2023

These networks may carry out a range of human-like activities, including face recognition, speech recognition, object identification, natural language processing, and content synthesis, which include several layers and a lot of neurons or transformer blocks.

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