Heartbeat

OCTOBER 18, 2023

In this article, we embark on a journey to explore the transformative potential of deep learning in revolutionizing recommender systems. However, deep learning has opened new horizons, allowing recommendation engines to unravel intricate patterns, uncover latent preferences, and provide accurate suggestions at scale.

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Marktechpost

DECEMBER 15, 2023

They explained that the higher resolution of precipitation events simulated with this method will allow for a better estimation of the impacts the weather conditions that caused the flooding of the river Ahr in 2021 would have had in a world warmer by 2 degrees. This advancement contributes to more accurate climate forecasts.

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AI Impacts

OCTOBER 18, 2023

Here is a summary version of the spreadsheet in a table, for readers who prefer this format: Sources cited in this post Grace, Argument for AI x-risk from competent malign agents (2023) Hendrycks et al, An Overview of Catastrophic AI Risks (2023) Ngo, Chan and Mindermann, The Alignment Problem from a Deep Learning Perspective (2023) TJ, Key Phenomena (..)

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Heartbeat

MAY 23, 2023

As technology continues to improve exponentially, deep learning has emerged as a critical tool for enabling machines to make decisions and predictions based on large volumes of data. Edge computing may change how we think about deep learning. Standardizing model management can be tricky but there is a solution.

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Dlabs.ai

AUGUST 31, 2021

And you can expect them to cover topics as far-flung as business intelligence, machine learning, deep learning, AI algorithms, virtual assistants, and chatbots. Big Data Conference Europe 2021 Date: September 28-30th Place: Online Ticket: 238 – 544 EUR The Big Data Conference covers more than its name suggests.

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NVIDIA Developer

MAY 21, 2021

Thursday, June 10, 2021 - 09:00 Indian/Maldives Speakers Pallab Maji Senior Solutions Architect - Deep Learning at NVIDIA NVIDIA Pallab is fascinated with artificial intelligence and works on machine learning for computer vision and natural language processing.

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NVIDIA Developer

MAY 21, 2021

Deep learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, and language translation. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results.

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Towards AI

AUGUST 25, 2023

Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system.

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Towards AI

DECEMBER 19, 2023

Source: interpretable-ml-book The field of deep learning has grown exponentially and the recent craze about ChatGPT is proof of the same. For example, a deep neural net used for a loan application scorecard might deny a customer, and we will not be able to explain why. arXiv: 2003.07132 where n is the sample size.

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Mlearning.ai

JUNE 17, 2023

I bought my Macbook Air M1 chip at the beginning of 2021. It’s fast and lightweight, but you can’t utilize the GPU for deep learning… Continue reading on MLearning.ai »

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AI News

AUGUST 15, 2023

In 2021, Kneron introduced the KL530—a pioneering edge AI chip that supports transformer neural networks, forming the backbone of GPT (Generative Pre-trained Transformer) models. The introduction of the KL730 to the lineup provides a base-level compute power ranging from 0.35-4

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Analytics Vidhya

DECEMBER 17, 2020

Are you Ready to Become a Data Scientist in 2021? The post A Comprehensive Learning Path to Become a Data Scientist in 2021! A new year beckons! New resolutions to become a data scientist have to be. appeared first on Analytics Vidhya.

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The Stanford AI Lab Blog

DECEMBER 6, 2021

The thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) 2021 is being hosted virtually from Dec 6th - 14th. Some of the members in our SAIL community also serve as co-organizers of several exciting workshops that will take place on Dec 13-14, so we hope you will check them out!

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AI Weekly

JUNE 22, 2023

marketscreener.com The Pace Of AI Innovation For Cybersecurity Is Fast And Furious Within the broad scope of AI, the real applications of machine learning (ML) and deep learning (DL) algorithm models are offering significant benefits to bolster enterprise cybersecurity. techxplore.com What Is Unsupervised Machine Learning?

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Towards AI

JULY 20, 2023

You can talk with AI with only one line of code… github.com AI Index 2021 The yearly and comprehensive report on AI is out. AI Index 2021 The 2021 AI Index report is one of the most comprehensive reports about artificial intelligence to date. Data Labeling Software: Best Tools for Data Labeling in 2021 – neptune.ai

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NVIDIA

SEPTEMBER 27, 2023

In 2021, it received the CE Mark of regulatory approval in Europe. The models were developed using the TensorFlow deep learning framework and trained on images acquired with NIO imaging systems. Invenio’s NIO Laser Imaging System is a digital pathology tool that accelerates the imaging of fresh tissue biopsies. and Europe.

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Analytics Vidhya

JANUARY 8, 2021

ArticleVideos Introduction 2021 has begun with a bang! OpenAI has released two major innovations in the field of Computer Vision: CLIP and DALL-E. The post OpenAI’s Future of Vision: Contrastive Language Image Pre-training(CLIP) appeared first on Analytics Vidhya.

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AI News

AUGUST 31, 2023

It is powered by ERNIE (Enhanced Representation through Knowledge Integration), a powerful deep learning model. In 2021, Baidu’s researchers posted a paper on ERNIE 3.0 ERNIE Bot can generate text, images, and videos based on natural language inputs. Later that year, Baidu released ERNIE 2.0

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Lexalytics

JULY 12, 2023

We’ve pioneered a number of industry firsts, including the first commercial sentiment analysis engine, the first Twitter/microblog-specific text analytics in 2010, the first semantic understanding based on Wikipedia in 2011, and the first unsupervised machine learning model for syntax analysis in 2014.

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Unite.AI

DECEMBER 1, 2023

Exploring the Techniques of LIME and SHAP Interpretability in machine learning (ML) and deep learning (DL) models helps us see into opaque inner workings of these advanced models. Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP) are two such mainstream interpretability techniques.

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IBM Journey to AI blog

JULY 11, 2023

According to Statista , the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. One use case example is out of the University of Hawaii, where a research team found that deploying deep learning AI technology can improve breast cancer risk prediction.

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Flipboard

JULY 10, 2023

RF Diffusion, a deep learning tool. Senior scientist Bobby Langan shows a video of one of his favorite deep-learning tools, used to create experimental cancer therapeutics. Senior scientist Bobby Langan shows a video of one of his favorite deep-learning tools, used to create experimental cancer therapeutics.

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Flipboard

JUNE 20, 2023

Deep learning Deep learning is a specific type of machine learning used in the most powerful AI systems. It imitates how the human brain works using artificial neural networks (explained below), allowing the AI to learn highly complex patterns in data.

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Viso.ai

DECEMBER 19, 2023

Image Classification Using Machine Learning CNN Image Classification (Deep Learning) Example applications of Image Classification Let’s dive deep into it! It uses AI-based deep learning models to analyze images with results that for specific tasks already surpass human-level accuracy (for example, in face recognition ).

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Marktechpost

NOVEMBER 12, 2023

Between 2017 and 2021, the development of Neural MMO brought forth influential environments like Griddly, NetHack, and MineRL, which were compared in great detail in a previous publication. Version 2.0 is a complete rewrite, ensuring compatibility with CleanRL and offering enhanced capabilities for training adaptable agents.

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Dlabs.ai

MARCH 17, 2021

We’ve prepared a list of our favorite influencers to watch in 2021. His latest article is The Biggest Wearable Technology Trends In 2021. And her research expertise spans AI, machine learning , deep learning , computer vision , and cognitive neuroscience.

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NYU Center for Data Science

DECEMBER 2, 2022

Some previous project topics include Artificial Intelligence and Machine Learning Approaches to Understand Autoimmunity , Discrimination in Policing , Language Modeling , Deep Learning for Classifying and Hanging Radiology Images , and more. See the CDS CURP webpage for a full list of previous project topics.)

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ODSC - Open Data Science

AUGUST 17, 2023

It was curated from high-quality instructions and was a variant of Enrico Shippole’s datasets: COT Submix Original NIV2 Submix Original FLAN 2021 Submix Original T0 Submix Original Further in the post, they mentioned that the filtering of these datasets removed examples from evaluation benchmarks. Save your seat and register today.

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Heartbeat

DECEMBER 8, 2023

He focused on generative AI trained on large language models, The strength of the deep learning era of artificial intelligence has lead to something of a renaissance in corporate R&D in information technology, according to Yann LeCun, chief AI. Hinton is viewed as a leading figure in the deep learning community.

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Towards AI

APRIL 9, 2024

Introduction to State Space Models (SSM) State Space Models (SSM) are increasingly influential in deep learning for dynamic systems, gaining attention with the “Efficiently Modeling Long Sequences with Structured State Spaces” paper in October 2021.

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Unite.AI

MAY 10, 2024

Realizing that many of the tedious development processes in Mellanox could be automated by machine-learning algorithms, I changed my majors to optimization and machine learning and completed an MSc in the space.

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AWS Machine Learning Blog

OCTOBER 5, 2023

He focuses on developing scalable machine learning algorithms. His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. an AI start-up, and worked as the CEO and Chief Scientist in 2019–2021.

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AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. In this post, we showed cost-efficient training of LLMs on AWS deep learning hardware. Ben Snyder is an applied scientist with AWS Deep Learning.

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Viso.ai

APRIL 25, 2024

Today’s boom in CV started with the implementation of deep learning models and convolutional neural networks (CNN). Pacal conducted a large-scale study with a total of 106 deep learning models. It surpassed all existing deep learning models, thus achieving 99.02% accuracy on the SIPaKMeD dataset.

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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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NYU Center for Data Science

SEPTEMBER 27, 2023

The paper, titled “ Protein remote homology detection and structural alignment using deep learning ,” offers groundbreaking insights and potential applications in the realm of bioinformatics. Earlier this month, Tymor Hamamsy, a CDS PhD student, published a paper in Nature Biotechnology that pushes this search forward.

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Towards AI

JULY 22, 2023

pixabay Artificial Intelligence (AI) has made tremendous strides in recent years, largely driven by advances in Deep Learning. The term, Generative AI refers to Deep Learning models capable of generating new content like text, images, video, audio, structures, and so on. It can be downloaded from Hugging Face.

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