NVIDIA

JUNE 9, 2023

To help the team train and speed up the AI and machine learning algorithms they’re developing to detect threats that are on a collision course with Earth, NVIDIA, as part of its Applied Research Accelerator Program , has given the group an NVIDIA RTX A6000 graphics card.

Neural Network 100

Neural Network Machine Learning Python Algorithm 100

Towards AI

JULY 19, 2023

Basically crack is a visible entity and so image-based crack detection algorithms can be adapted for inspection. Deep learning algorithms can be applied to solving many challenging problems in image classification. Deep learning algorithms can be applied to solving many challenging problems in image classification. Yi, and J.-K.

Computer Vision 80

Computer Vision Deep Learning Categorization Automation 80

Towards AI

APRIL 8, 2024

Word2Vec, a widely-adopted NLP algorithm has proven to be an efficient and valuable tool that is now applied across multiple domains, including recommendation systems. While numerous techniques have been explored, methods harnessing natural language processing (NLP) have demonstrated strong performance.

Natural Language Processing 68

Natural Language Processing NLP Neural Network Algorithm 68

Viso.ai

FEBRUARY 11, 2024

The Need for Image Training Datasets To train the image classification algorithms we need image datasets. These datasets contain multiple images similar to those the algorithm will run in real life. The labels provide the Knowledge the algorithm can learn from. Algorithms that won the ImageNet challenge by year – source.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 52

Unite.AI

NOVEMBER 30, 2023

By 2013, I began wondering if I could do something bigger. Randy and I both come from finance and algorithmic trading backgrounds, which led us to take the concept of matching requests with answers to build our own NLP for hyper-specific inquiries that would get asked at locations. By 25, I was running my own department.

Large Language Models 147

Large Language Models LLM Conversational AI NLP 147

Mlearning.ai

AUGUST 6, 2023

As described in the previous article , we want to forecast the energy consumption from August of 2013 to March of 2014 by training on data from November of 2011 to July of 2013. Experiments Before moving on to the experiments, let’s quickly remember what’s our task.

Python 52

Python Software Development Algorithm AI 52

Ehud Reiter

APRIL 9, 2023

Wendy Moncur (also a PhD student with me at the time) explored generating summaries for grandparents and other relatives of the same data ( Moncur et al 2013 ). Also, we’ve had “super-human” diagnostic algorithms since before I was born.

ChatGPT 100

ChatGPT Explainability LLM Chatbots 100

O'Reilly Media

APRIL 23, 2024

Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements, placing them ahead of the customer-centric results chosen by the company’s organic search algorithms, which prioritize a combination of low price, high customer ratings, and other similar factors?

BERT 108

BERT Algorithm AI AI 108

Explosion

DECEMBER 17, 2013

This post explains how transition-based dependency parsers work, and argues that this algorithm represents a break-through in natural language understanding. This post was written in 2013. A concise sample implementation is provided, in 500 lines of Python, with no external dependencies.

Python 40

Python Explainability Algorithm 40

Pickl AI

JULY 12, 2023

The Matrix is mainly a world simulated for creating and controlling machines, which use data and algorithms to maintain the illusion of reality. His work involves analyzing vast amounts of encrypted data, searching for patterns, and developing algorithms to decrypt the messages.

Data Science 52

Data Science Robotics Artificial Intelligence Artificial Intelligence 52

Heartbeat

DECEMBER 14, 2023

From 2013 to 2023, he divided his time working for Google (Google Brain) and the University of Toronto, before publicly announcing his departure from Google in May 2023 citing concerns about the risks of artificial intelligence (AI) technology. Hinton is viewed as a leading figure in the deep learning community.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Scientist 52

Explosion

FEBRUARY 18, 2015

The short story is, there are no new killer algorithms. The way that the tokenizer works is novel and a bit neat, and the parser has a new feature set, but otherwise the key algorithms are well known in the recent literature. Part-of-speech Tagger In 2013, I wrote a blog post describing how to write a good part of speech tagger.

Algorithm 40

Algorithm Python 40

AWS Machine Learning Blog

MAY 24, 2023

Data suggests high-risk and suspected fraudulent mortgage activity is on the rise, noting a 52% increase in suspected fraudulent mortgage applications since 2013. This solution rides on a more significant global wave of increasing mortgage fraud, which is worsening as more people present fraudulent proofs to qualify for loans.

Automation 70

Automation Computer Vision Data Extraction IDP 70

PyImageSearch

NOVEMBER 13, 2023

One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al. Since then, the R-CNN algorithm has gone through numerous iterations, improving the algorithm with each new publication and outperforming traditional object detection algorithms (e.g.,

Convolutional Neural Networks 120

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 120

Heartbeat

DECEMBER 8, 2023

This includes cleaning and transforming data, performing calculations, or applying machine learning algorithms. Williams, Hinton was co-author of a highly cited paper published in 1986 that popularised the backpropagation algorithm for training multi-layer neural networks, although they were not the first to propose the approach.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning LLM 52

Flipboard

JULY 1, 2023

In a paper presented earlier this year at the European Space Agency’s second NEO and Debris Detection Conference in Darmstadt, Germany, Fabrizio Piergentili and colleagues presented results of their evolutionary “genetic” algorithm to monitor the rotational motion of space debris.

Neural Network 154

Neural Network Algorithm AI AI 154

Snorkel AI

FEBRUARY 6, 2024

If you think about simple ingredients in the “cooking show” of AI—models, algorithms, and data—a lot of the models and algorithms have gotten a lot more black box; a lot more commoditized; frankly, available in the most positive sense. I like that highlight—it’s not just about a fancy fine-tuning algorithm.

Data Science 52

Data Science LLM Machine Learning Data Scientist 52

Snorkel AI

FEBRUARY 6, 2024

If you think about simple ingredients in the “cooking show” of AI—models, algorithms, and data—a lot of the models and algorithms have gotten a lot more black box; a lot more commoditized; frankly, available in the most positive sense. I like that highlight—it’s not just about a fancy fine-tuning algorithm.

Data Science 52

Data Science LLM Machine Learning Data Scientist 52

Dlabs.ai

MARCH 17, 2021

Since 2013, he’s been dividing his time between working for Google and the University of Toronto. This soon evolved into DLabs, and Shemmy and his team now use algorithms to tackle everyday business problems. It led him to co-found DiabetesLab, with the aim of helping people monitor and manage diabetes using artificial intelligence.

Deep Learning 92

Deep Learning Artificial Intelligence Artificial Intelligence Neural Network 92

Kavita Ganesan

MAY 24, 2022

And they may not fit in within your infrastructure, you may have an old infrastructure that can maybe take in basic computer algorithms, not something sophisticated that needs GPUs, and TPUs. But around 2013 is where data science started to really become a thing. And you have to keep in mind that AI has been there since the 1940s.

AI 52

AI AI Neural Network Natural Language Processing 52

TheSequence

NOVEMBER 22, 2023

In 2013, my team started exploring building neural network accelerators on FPGAs, and in 2015 we ramped that effort to take it to production as Project Brainwave , which shipped into production at large scale in 2017, accelerating neural network inference for Bing and Office. TheSequence is a reader-supported publication.

Neural Network 40

Neural Network Generative AI AI AI 40

Unite.AI

SEPTEMBER 8, 2023

Then, in 2013, we partnered with Stanford Health Care to solve their infusion scheduling challenge. We created an algorithm designed to optimally match available supply with ongoing demand signals. Our solution worked, and we spent the next 18 months refining our algorithms and creating our first product, iQueue for Infusion Centers.

Machine Learning 277

Machine Learning Automation Algorithm Explainability 277

AWS Machine Learning Blog

MARCH 15, 2024

To mitigate these risks, the FL model uses personalized training algorithms and effective masking and parameterization before sharing information with the training coordinator. He entered the big data space in 2013 and continues to explore that area. These facilitate the development and deployment of FL solutions.

Auto-complete 105

Auto-complete Auto-classification Machine Learning ML 105

Unite.AI

JUNE 22, 2023

Two years later, in 2011, I co-founded Crashlytics, a mobile crash reporting tool which was acquired by Twitter in 2013 and then again by Google in 2017. Can you discuss the types of machine learning algorithms that are used? We were acquired by Box in 2009.

Large Language Models 325

Large Language Models Machine Learning Deep Learning ChatGPT 325

Hal Daumé III

NOVEMBER 8, 2016

These three are: data collection objective function feedback loops Sample Selection Bias The standard way that machine learning works is to take some samples from a population you care about, run it through a machine learning algorithm, to produce a predictor. Also a highly recommended read.

ML 52

ML Robotics Machine Learning AI 52

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., Understanding the robustness of image segmentation algorithms to adversarial attacks is critical for ensuring their reliability and security in practical applications.

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

ODSC - Open Data Science

FEBRUARY 28, 2023

Improving Operations and Infrastructure Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users. Making Data Observable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery.

Data Science 96

Data Science Auto-complete Machine Learning AI 96

Topbots

SEPTEMBER 11, 2023

This approach leads them straight into the integration fallacy: even if these experts and engineers produce exceptional models and algorithms, their outputs often get stuck at the level of playgrounds, sandboxes, and demos, and never really become full-fledged parts of a product. 3] Don Norman (2013). 2] Orbit Media (2022).

AI 59

AI AI UX Design Automation 59

AWS Machine Learning Blog

JUNE 23, 2023

The dataset includes credit card transactions in September 2013 made by European cardholders. To understand more about PCA and dimensionality reduction, refer to Principal Component Analysis (PCA) Algorithm. For Training method and algorithms , select Auto. Choose Add step. Choose Dimensionality Reduction.

Auto-complete 75

Auto-complete Auto-classification ML Data Quality 75

Lexalytics

APRIL 5, 2021

This would change in 1986 with the publication of “Parallel Distributed Processing” [ 6 ], which included a description of the backpropagation algorithm [ 7 ]. In retrospect, this algorithm seems obvious, and perhaps it was. We were definitely in a Kuhnian pre-paradigmatic period. It would not be the last time that happened.)

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Artificial Corner

JUNE 6, 2023

Data mining involves using sophisticated algorithms to identify patterns and relationships in data that might not be immediately apparent. Its ability to efficiently handle iterative algorithms and machine learning tasks made it a popular choice for data scientists and engineers. Zaharia, M., Spark: cluster computing with working sets.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Mlearning.ai

MAY 18, 2023

In the Beginning The first object detection algorithm is difficult to pinpoint to a single specific algorithm, as the field of object detection has evolved over several decades with numerous contributions. The development of region-based convolutional neural networks (R-CNN) in 2013 marked a crucial milestone.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Algorithm 52

Sebastian Ruder

OCTOBER 26, 2019

The NLP Resource Hierarchy In current machine learning, the amount of available training data is the main factor that influences an algorithm's performance. Identifying the cause of this phenomenon may help us gain a better understanding of our learning algorithms and the biases they encode in their representations.

BERT 52

BERT NLP Natural Language Processing Neural Network 52

Explosion

DECEMBER 17, 2013

I wrote this blog post in 2013, describing an exciting advance in natural language understanding technology. Today, almost all high-performance parsers are using a variant of the algorithm described below (including spaCy). This doesn’t just give us a likely advantage in learnability; it can have deep algorithmic implications.

Python 45

Python Algorithm NLP Computational Linguistics 45

Marktechpost

JUNE 7, 2023

Last of Us Sony Interactive Entertainment’s 2013 AI game The Last of Us has garnered a passionate fanbase—a survival horror game. Like Darkforest, AlphaGo Zero uses complex search tree algorithms to foretell moves. is the first video game to incorporate Goal Oriented Action Planning (GOAP), a form of artificial intelligence.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Mlearning.ai

JULY 31, 2023

The repository includes embedding algorithms, such as Word2Vec, GloVe, and Latent Semantic Analysis (LSA), to use with their PIP loss implementation. As such, I’ve adapted and converted the simplest algorithm (LSA) and PIP loss implementations with PyTorch and guided comments for more flexibility. Dosovitskiy, A., Kolesnikov, A.,

Deep Learning 52

Deep Learning Computer Vision Algorithm AI 52

Sebastian Ruder

JANUARY 19, 2021

 Reinforcement learning algorithms have a multitude of practical implications ( Bellemare et al., Improvements over the fundamental algorithms in this area can have a large practical impact by enabling better planning, environment modelling, and action prediction. Finally, Munchausen RL agents ( Vieillard et al.,

NLP 52

NLP ML Computer Vision Natural Language Processing 52