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

APRIL 24, 2024

Deep reinforcement learning (Deep RL) combines reinforcement learning (RL) and deep learning. Deep RL has achieved human-level or superhuman performance for many two-player or multi-player games. 2013 DeepMind showed impressive learning results using deep RL to play Atari video games.

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Towards AI

DECEMBER 28, 2023

Later, Python gained momentum and surpassed all programming languages, including Java, in popularity around 2018–19. The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. CS6910/CS7015: Deep Learning Mitesh M. Khapra Homepage www.cse.iitm.ac.in

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Marktechpost

JULY 3, 2023

We will give details of Artificial Intelligence approaches such as Machine Learning and Deep Learning. By the end of the article, you will understand how innovative Deep Learning technology leverages historical data and accurately forecasts outcomes of lengthy and expensive experimental testing or 3D simulation (CAE).

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Analytics Vidhya

JUNE 26, 2019

DataHack Summit 2019 Bringing Together Futurists to Achieve Super Intelligence DataHack Summit 2018 was a grand success with more than 1,000 attendees from various. The post Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet appeared first on Analytics Vidhya.

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Heartbeat

DECEMBER 14, 2023

LeCun received the 2018 Turing Award (often referred to as the "Nobel Prize of Computing"), together with Yoshua Bengio and Geoffrey Hinton, for their work on deep learning. Hinton is viewed as a leading figure in the deep learning community. He co-developed the Lush programming language with Léon Bottou.

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ODSC - Open Data Science

APRIL 17, 2023

Minor changes in the input data that are very apparent to human intelligence are not so for deep learning models. Deep learning is essentially matrix multiplication, which means even small perturbations in the coefficients can cause a significant change in the output.

Data Science 97

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Heartbeat

MARCH 14, 2023

Some of the methods used for scene interpretation include Convolutional Neural Networks (CNNs) , a deep learning-based methodology, and more conventional computer vision-based techniques like SIFT and SURF. A combination of simulated and real-world data was used to train the system, enabling it to generalize to new objects and tasks.

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Mlearning.ai

MAY 5, 2023

It wasn’t until the development of deep learning algorithms in the 2000s and 2010s that LLMs truly began to take shape. Deep learning algorithms are designed to mimic the structure and function of the human brain, allowing them to process vast amounts of data and learn from that data over time.

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NYU Center for Data Science

OCTOBER 10, 2023

“A lot happens to these interpretability artifacts during training,” said Chen, who believes that by only focusing on the end result, we might be missing out on understanding the entire journey of the model’s learning. The paper is a case study of syntax acquisition in BERT (Bidirectional Encoder Representations from Transformers).

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Bugra Akyildiz

AUGUST 6, 2023

However, it was back in 2018-2019, ChatGPT has not taken over the industry both in terms of model accuracy, but also overall deployment options. Model as a Service MaaS provides access to pre-trained models, which are whole deep learning models that can be used for a variety of tasks.

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NVIDIA

MAY 21, 2024

RTX AI PCs — Enhanced AI for Gamers, Creators and Developers NVIDIA introduced the first PC GPUs with dedicated AI acceleration, the GeForce RTX 20 Series with Tensor Cores, along with the first widely adopted AI model to run on Windows, NVIDIA DLSS , in 2018.

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NVIDIA

SEPTEMBER 11, 2023

Overall, the results continue NVIDIA’s record of demonstrating performance leadership in AI training and inference in every round since the launch of the MLPerf benchmarks in 2018.

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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. Yida Wang is a principal scientist in the AWS AI team of Amazon. He founded StylingAI Inc.,

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The Stanford AI Lab Blog

FEBRUARY 24, 2022

2018 ), or examples which are different strong data augmentations of the same image ( Xie et al., Strong data augmentation, which applies stronger alterations to the input image than traditionally used in supervised learning, is also very useful for self-supervised contrastive learning, which we will analyze in the follow-up blog post.

Deep Learning 40

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Towards AI

JULY 4, 2024

Introduced in 2018, BERT has been a topic of interest for many, with many articles and YouTube videos attempting to break it down. Want to Learn Quantization in The Large Language Model? By Milan Tamang Quantization is a method of compressing a larger size model (LLM or any deep learning model) to a smaller size.

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Pickl AI

APRIL 8, 2024

Example In 2018, a self-driving car developed by Uber struck and killed a pedestrian in Arizona. Example In 2018, it was revealed that Cambridge Analytica, a political consulting firm, had improperly harvested the personal data of millions of Facebook users without their consent.

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AI Impacts

FEBRUARY 1, 2023

The alignment problem from a deep learning perspective. link] 8 From Hacker News user api: “To give a specific example: I once wrote an objective function to train an evolving system to classify images, a simple machine learning test. "The arXiv preprint arXiv:1803.03453 (2018). link] Published November 2, 2018.

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NVIDIA

JUNE 28, 2023

Toronto-based Ecopia AI uses deep learning-based mapping systems to mine geospatial data, helping to produce next-generation digital maps with highly accurate segmentation of buildings, roads, forests and more. CrowdAI’s deep learning model detected buildings from this aerial image taken in the aftermath of Hurricane Michael in 2018.

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NVIDIA

DECEMBER 21, 2023

The mission is near and dear to DigitalPath employees, whose office sits not far from the town of Paradise, where California’s deadliest wildfire killed 85 people in 2018. It’s one of the main reasons we’re doing this,” said CEO Jim Higgins. “We We don’t want people to lose their lives.”

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Mlearning.ai

APRIL 8, 2023

Deep Learning (Late 2000s — early 2010s) With the evolution of needing to solve more complex and non-linear tasks, The human understanding of how to model for machine learning evolved. 2017) “ BERT: Pre-training of deep bidirectional transformers for language understanding ” by Devlin et al.

NLP 98

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AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple. Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football.

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Viso.ai

JUNE 12, 2024

Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. Large Language Models – Source In 2018, OpenAI researchers and engineers published an original work on AI-based generative large language models.

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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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NVIDIA

JULY 5, 2023

For example, based on historical data, FourCastNet accurately predicted the temperatures on July 5, 2018, in Ouargla, Algeria — Africa’s hottest recorded day.

Machine Learning 96

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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). 2018) published their research titled MobileFaceNets. Pacal conducted a large-scale study with a total of 106 deep learning models. They tested their deep learning model on the M-Health dataset.

Computer Vision 52

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Pickl AI

JULY 24, 2024

The advent of big data, coupled with advancements in Machine Learning and deep learning, has transformed the landscape of AI. 2010s : Rapid Advancements and Applications 2012: The ImageNet competition demonstrates the power of deep learning, with AlexNet winning and significantly improving image classification accuracy.

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Heartbeat

MARCH 15, 2023

An open-source machine learning model called BERT was developed by Google in 2018 for NLP, but this model had some limitations, and due to this, a modified BERT model called RoBERTa (Robustly Optimized BERT Pre-Training Approach) was developed by the team at Facebook in the year 2019. The library can be installed via pip.

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ODSC - Open Data Science

MARCH 22, 2023

Previously, he was a senior scientist at Amazon Web Services developing AutoML and Deep Learning algorithms that now power ML applications at hundreds of companies. About the author/ODSC East 2023 speaker: Jonas Mueller is Chief Scientist and Co-Founder at Cleanlab, a company providing data-centric AI software to improve ML datasets.

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ML Data Scientist Algorithm Data Science 88

NLP People

JANUARY 2, 2019

Hundreds of researchers, students, recruiters, and business professionals came to Brussels this November to learn about recent advances, and share their own findings, in computational linguistics and Natural Language Processing (NLP). According to what was discussed at WMT 2018 that might not be the case — at least not anytime soon.

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Unite.AI

JUNE 2, 2023

For instance, the malfunctioning of the AI software called Maneuvering Characteristics Augmentation System (MCAS) is attributed in part to the crash of the two Boeing 737 MAX, first in October 2018 and then in March 2019. Sadly, the two crashes killed 346 people. How Can We Overcome the Risks of AI Systems?

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Towards AI

JULY 20, 2023

An additional 2018 study found that each SLR takes nearly 1,200 total hours per project. New research has also begun looking at deep learning algorithms for automatic systematic reviews, According to van Dinter et al. dollars apiece.

Data Extraction 65

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Flipboard

AUGUST 25, 2023

Zhavoronkov has a narrower definition of AI drug discovery, saying it refers specifically to the application of deep learning and generative learning in the drug discovery space. The “deep learning revolution” — a time when development and use of the technology exploded — took off around 2014, Zhavoronkov said.

Machine Learning 123

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Bugra Akyildiz

JUNE 11, 2023

They also include the names of occupation titles that they generated, to create the dataset (alongside occupation gender statistics from the Bureau of Labor Statistics) This repository contains example code on how to combine zero- and few-shot learning with a small annotation effort to obtain a high-quality dataset with maximum efficiency.

Algorithm 52

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Heartbeat

MARCH 22, 2023

RoBERTa: A Modified BERT Model for NLP — by Khushboo Kumari An open-source machine learning model called BERT was developed by Google in 2018 for NLP, but this model had some limitations, and due to this, a modified BERT model called RoBERTa (Robustly Optimized BERT Pre-Training Approach) was developed by the team at Facebook in the year 2019.

BERT 40

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Mlearning.ai

APRIL 27, 2023

Using Deep Learning Models to Detect Abusive Behavior in Video Games Abusive behaviors are a pervasive issue in numerous business settings, including credit card companies, video games, and promotional events. To address such abusive behaviors, there exist various deep learning models that can effectively mitigate this problem.

Deep Learning 52

Deep Learning ML Data Science Machine Learning 52

Dlabs.ai

AUGUST 20, 2020

If you’re looking for the best free eBooks related to artificial intelligence, machine learning, or deep learning – this list is for you. Dive into Deep Learning Authors: Aston Zhang, Zack C. Smola The first eBook on our must-read list is a deep-dive into deep learning.

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