Towards AI

APRIL 7, 2024

This article seeks to also explain fundamental topics in data science such as EDA automation, pipelines, ROC-AUC curve (how results will be evaluated), and Principal Component Analysis in a simple way. This contributes to its fast spread, difficult to treat, and tendency to re-occur. Figure 2: A quick look at the data.

Machine Learning 114

Machine Learning Data Analysis Data Science Automation 114

AI Impacts

FEBRUARY 1, 2023

But this model, on its own, is inadequate for AI, for reasons I will explain in the next section. 5 I will not explain this problem in detail, but I will list some aspects of it here, along with real-world examples, and you can read more about it elsewhere. arXiv preprint arXiv:1803.03453 (2018). ” Cimpanu C.

AI 130

AI AI OpenAI Large Language Models 130

Marktechpost

DECEMBER 18, 2023

In a study conducted in 2018, MIT researchers demonstrated that the internal representations generated by these models exhibited similarities to the neural patterns observed in functional magnetic resonance imaging (fMRI) scans of individuals listening to the same sounds.

Neural Network 83

Neural Network Explainability AI Researcher AI Research 83

Flipboard

JUNE 8, 2023

In 2018, ISTE and General Motors launched a professional development course to train educators on how to use AI for teaching and learning. For his class on mathematical statistics, Ross asked his students to research theorems, their inventors and explain how the theorems were proved — without the help of AI.

Robotics 155

Robotics Auto-complete AI Tools AI 155

AWS Machine Learning Blog

SEPTEMBER 19, 2023

The following sections explain some of the primary steps with associated code. The financial analyst asks the following question: “ What are the closing prices of stocks AAAA, WWW, DDD in year 2018? Transcribe Audio Tool – To convert audio recordings to text files using Amazon Transcribe. WWW: $85.91 DDD: $9.82 WWW: $85.91 DDD: $9.82

Generative AI 101

Generative AI LLM Python Large Language Models 101

NYU Center for Data Science

OCTOBER 10, 2023

In a recent interview, Chen explained the importance of studying interpretability artifacts not just at the end of a model’s training but throughout its entire learning process. “A An MLM, BERT gained significant attention around 2018–2019 and is now often used as a base model fine-tuned for various tasks, such as classification.

BERT 75

BERT Deep Learning Machine Learning Data Science 75

Unite.AI

NOVEMBER 8, 2023

Interpretability and Explainability BERT : The bidirectional nature provides rich contextual embeddings but can be harder to interpret. GPT : Is generative in nature and can be prompted to perform tasks with minimal changes to its structure.

BERT 298

BERT NLP Neural Network Natural Language Processing 298

Flipboard

FEBRUARY 2, 2023

We then explain the details of the ML methodology and model training procedures. There are around 3,000 and 4,000 plays from four NFL seasons (2018–2021) for punt and kickoff plays, respectively. Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season.

ML 93

ML Machine Learning Big Data Data Scientist 93

AWS Machine Learning Blog

OCTOBER 5, 2023

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. From 2015–2018, he worked as a program director at the US NSF in charge of its big data program. He focuses on developing scalable machine learning algorithms.

Machine Learning 97

Machine Learning Big Data Deep Learning Natural Language Processing 97

Mlearning.ai

MARCH 24, 2023

Photo by Guillaume Périgois on Unsplash EU AI Act: History and Timeline 2018 : EU Commission starts pilot project on ‘Explainable AI’. Paul Nemitz , a key contributor to GDPR and now actively involved in forming the EU AI Act, explains how unregulated AI can be a threat to Democracy.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Categorization Explainability 52

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. He is also one of the main creators of the DjVu image compression technology (together with Léon Bottou and Patrick Haffner).

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Scientist 52

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. We pay our contributors, and we don’t sell ads.

BERT 52

BERT NLP Deep Learning Neural Network 52

Topbots

JUNE 22, 2023

Also, since at least 2018, the American agency DARPA has delved into the significance of bringing explainability to AI decisions. Outstandingly, ChatPGT presents such a capacity: it can explain its decisions. This capability helped me to give my ruling. The table below displays this examination.

Machine Learning 111

Machine Learning ChatGPT Natural Language Processing Categorization 111

Heartbeat

OCTOBER 18, 2023

Researchers are exploring methods for the explainability and interpretability of recommendations, incorporating fairness metrics into deep learning models, and designing mechanisms to prevent user manipulation and promote diversity in recommendations. We pay our contributors, and we don’t sell ads.

Deep Learning 52

Deep Learning Neural Network Machine Learning Algorithm 52

IBM Journey to AI blog

FEBRUARY 23, 2024

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. To ensure that consent is informed, the organization should clearly explain what it collects and how it will use that data at the point of data collection. Irish regulators hit Meta with a EUR 1.2

Automation 207

Automation Explainability OpenAI ChatGPT 207

Mlearning.ai

JANUARY 26, 2023

The meaning of this term is explained below. 2018, July). In IGARSS 2018–2018 IEEE International Geoscience and Remote Sensing Symposium (pp. ARCO and 4C’s For state-of-the-art data cubes it is important to emphasize the following term “ARCO” = Analysis-Ready Cloud Optimized ( Stern et al., Remote Sensing, 12(24), 4033.

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Metadata Data Science Big Data Linked Data 98

ML @ CMU

JUNE 30, 2023

Object Goal Navigation We instantiate semantic navigation with the Object Goal navigation task [ Anderson 2018 ], where a robot starts in a completely unseen environment and is asked to find an instance of an object category, let’s say a toilet.

Robotics 88

Robotics Neural Network Explainability Machine Learning 88

AI News

OCTOBER 13, 2023

The second area is securing the use of AI within the workplace, because, you know, AI has some incredibly positive impacts on people … but the problem is there are some data protection requirements around that,” explains Barnett. Finally, is the question of, ‘Could AI be used by the bad guys against the good guys?’

Inference Engine 281

Inference Engine Big Data Machine Learning Explainability 281

Heartbeat

DECEMBER 8, 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. He is also one of the main creators of the DjVu image compression technology (together with Léon Bottou and Patrick Haffner).

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning LLM 52

Mlearning.ai

FEBRUARY 28, 2023

In 2018–2019, while new car sales were recorded at 3.6 This is a clear indication that a good model is formed to explain variance in the price of used cars up to 87%. Both the R-squared and Adjusted R squared of our model are higher than before and the model is able to explain up to 94% of the variance in the price of used cars.

Python 52

Python Data Analysis Explainability Categorization 52

Heartbeat

MARCH 14, 2023

Some recent examples: Robotic systems that learned to grab and manipulate things with human-like dexterity was demonstrated by Google Brain researchers in 2018 utilizing deep reinforcement learning. Advances in computer vision made possible by deep learning will allow robots to carry out more complex tasks and make more sound decisions.

Computer Vision 97

Computer Vision Robotics Deep Learning Algorithm 97

Sebastian Ruder

AUGUST 15, 2021

Roberto Navigli discussing "hot" topics at ACL 2018 vs ACL 2021 during the opening session This serves as a useful reminder that the community is overfitting to a particular setting and that it may be worthwhile to look beyond the standard Transformer model (see my recent newsletter for some inspiration).

NLP 52

NLP Explainability Neural Network Natural Language Processing 52

Heartbeat

JANUARY 29, 2024

Performing a Meta-Learning Task With Comet This section will explain a basic example of conducting a meta-learning task using the Comet platform. 2018) Reptile: A scalable meta-learning algorithm || OpenAI.com Xavier L. Specifically, we will utilize the Omniglot dataset. A Perspective View and Survey of Meta-Learning Kondu R.

Machine Learning 52

Machine Learning Neural Network Natural Language Processing Algorithm 52

Dlabs.ai

AUGUST 20, 2020

Interestingly, one of the authors – Yoshua Bengio won the 2018 Turing Award (the Nobel Prize of computing) for his work in deep learning. A Guide for Making Black Box Models Explainable Author: Christoph Molnar If you’re looking to learn how to make machine learning decisions interpretable, this is the eBook for you!

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

Dlabs.ai

JANUARY 27, 2020

The Global AI Talent Report 2019 says that, by year-end 2018, the number of qualified AI experts across the world totaled just 22,400. figure recorded in 2018. And can the team explain how AI supports your vision? That’s hardly a surprise, given the AI industry is still in its infancy.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning UX Design 52

Unite.AI

JANUARY 13, 2024

Yolov8 Explained YOLO (You Only Live Once) is a popular computer vision model capable of detecting and segmenting objects in images. Yolov3: Launched in 2018, Yolov3 presented new features such as a more effective backbone network, multiple anchors, and spatial pyramid pooling for multi-scale feature extraction.

Computer Vision 259

Computer Vision Python Explainability AI 259

ML Review

JUNE 13, 2018

This article is part of the Academic Alibaba series and is taken from the paper entitled “Learning Chinese Word Embeddings with Stroke n-gram Information” by Shaosheng Cao, Wei Lu, Jun Zhou, and Xiaolong Li, accepted by the 2018 Conference of the Association for the Advancement of Artificial Intelligence. The full paper can be read here.

Natural Language Processing 52

Natural Language Processing AI AI NLP 52

Heartbeat

AUGUST 23, 2023

Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Natural language processing and machine learning as practical toolsets for archival processing. Records Management Journal , 30 (2), 155–174.

NLP 52

NLP Natural Language Processing Algorithm Categorization 52

PyImageSearch

JANUARY 2, 2023

Health startups and tech companies aiming to integrate AI technologies account for a large proportion of AI-specific investments, accounting for up to $2 billion in 2018 ( Figure 1 ). If healthcare professionals cannot explain how AI systems make diagnoses, this can weaken patients’ trust in the system. That’s not the case.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Mlearning.ai

MARCH 9, 2023

2018; Sitawarin et al., 2018; Papernot et al., 2018) investigated the vulnerability of deep learning models to adversarial attacks in medical image segmentation tasks, and proposed a method to improve their robustness. 2018; Pang et al., Explaining and harnessing adversarial examples. For instance, Xu et al.

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

TheSequence

NOVEMBER 22, 2023

In 2018, when I moved into Azure, my team started building custom AI supercomputers at scale. One is a more formal view of explainability. What are some major research breakthroughs that you believe can unlock the true value of AI agent solutions?

Neural Network 40

Neural Network Generative AI AI AI 40

AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). They’re mostly trained on general domain corpora, making them less effective on domain-specific tasks.

LLM 74

LLM Algorithm Machine Learning Natural Language Processing 74

Marek Rei

NOVEMBER 12, 2019

ArXiv 2018. EMNLP 2018. NAACL 2018. NAACL 2018. At the end, I also include the summaries for my own published papers since the last iteration (papers 61-74). Here we go. Improving Language Understanding by Generative Pre-Training Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever. Microsoft, Edinburgh.

Machine Learning 52

Machine Learning NLP Neural Network BERT 52

NVIDIA

DECEMBER 4, 2023

Three technical reasons, and many stories, explain why that’s so. Since its 2018 launch, MLPerf , the industry-standard benchmark for AI, has provided numbers that detail the leading performance of NVIDIA GPUs on both AI training and inference. That’s up from less than 100 million parameters for a popular LLM in 2018.

Neural Network 137

Neural Network AI AI LLM 137

Snorkel AI

MAY 12, 2023

Recent research published in the Harvard Business Review in 2018 suggests that nearly $31.5 Now I’m going to pass it on to Bayan, who’s going to focus on another very important aspect of data, which is variability and explainability. That is a staggering statistic—50 to 80 percent of the end-to-end time is in data prep.

Machine Learning 52

Machine Learning Data Scientist ML Data Science 52

Snorkel AI

MAY 12, 2023

Recent research published in the Harvard Business Review in 2018 suggests that nearly $31.5 Now I’m going to pass it on to Bayan, who’s going to focus on another very important aspect of data, which is variability and explainability. That is a staggering statistic—50 to 80 percent of the end-to-end time is in data prep.

Machine Learning 52

Machine Learning Data Scientist ML Data Science 52

Mlearning.ai

MARCH 2, 2023

Moreover, the most important theoretical foundations for BERT are explained and additional graphics are provided for illustration purposes. In particular, the architecture of transformers and the attention mechanism, as well as the idea behind unsupervised transfer learning, especially with fine-tuning, are explained. 2] Vaswani, A.,

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BERT NLP Deep Learning Neural Network 52