Unite.AI

FEBRUARY 27, 2024

How has LXT's mission evolved since its inception in 2010? You have years of experience working in search and personalization to help improve these algorithms. I ensure we deliver on time across a wide range of use cases, from generative AI to search relevance and self-driving cars, among many others.

Large Language Models 147

Large Language Models Generative AI Automation Natural Language Processing 147

Towards AI

JULY 20, 2023

As the capabilities of high-powered computers and ML algorithms have grown, so have opportunities to improve the SLR process. New research has also begun looking at deep learning algorithms for automatic systematic reviews, According to van Dinter et al. This study by Bui et al.

Data Extraction 82

Data Extraction NLP Natural Language Processing Automation 82

Towards AI

FEBRUARY 18, 2024

This historical sales data covers sales information from 2010–02–05 to 2012–11–01. The main goal of the algorithm is to infer the expected effect a given intervention (or any action) had on some response variable by analyzing differences between expected and observed time series data.

Python 104

Python Algorithm AI AI 104

Ehud Reiter

APRIL 9, 2023

Back in 2010, Saad Mahamood (then a PhD student with me) developed an NLG system which summarised data about sick babies in neonatal intensive care for their parents ( Mahamood and Reiter 2011 ); this system was deployed and used in the hospital for a few years, and parents in general were very appreciative.

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

Flipboard

JUNE 20, 2023

Rather than humans programming computers with specific step-by-step instructions on how to complete a task, in machine learning a human provides the AI with data and asks it to achieve a certain outcome via an algorithm. As a result, it opens the door for machines capable of performing many different tasks significantly better than humans.

Neural Network 140

Neural Network Deep Learning Machine Learning AI 140

NVIDIA

NOVEMBER 3, 2023

The DOE-CESER has invested more than $240 million in cybersecurity research, development and demonstration projects since 2010. AI algorithms trained on emails can halt threats in the inbox and block phishing attempts like those that delivered ransomware to seaports earlier this year. airport websites last year.

AI 122

AI AI Machine Learning Automation 122

NVIDIA

NOVEMBER 3, 2023

The DOE-CESER has invested more than $240 million in cybersecurity research, development and demonstration projects since 2010. AI algorithms trained on emails can halt threats in the inbox and block phishing attempts like those that delivered ransomware to seaports earlier this year. airport websites last year.

AI 62

AI AI Machine Learning Automation 62

Unite.AI

DECEMBER 8, 2023

Vivek co-founded Movable Ink in 2010 and has led the company through rapid growth to a leading market position with 600+ employees serving the world's most innovative brands. Movable Ink was initially launched in 2010, how has the company evolved over the years with the advent of Generative AI?

Machine Learning 173

Machine Learning Automation Generative AI Algorithm 173

Unite.AI

JUNE 13, 2023

Then what we did was that we went back in time and said, “Let's pretend that I'm in 2010.” A lot of the assumptions that you make that these algorithms are based on, when they go to the real world, they don't hold, and then you have to figure out how to deal with that. ” We figured out what was going on.

Machine Learning 246

Machine Learning AI AI Algorithm 246

Unite.AI

SEPTEMBER 8, 2023

The LeanTaaS journey began in 2010 with an industry-agnostic approach. 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

Towards AI

MAY 8, 2024

Established by Google in 2010, it possesses a vast assortment of geospatial data containing of petabytes of data collected by multiple satellites, such as Sentinel, MODIS, Landsat, and more for analysis. What is Google Earth Engine?

Machine Learning 79

Machine Learning Large Language Models AI Engineer Data Science 79

Mlearning.ai

JULY 20, 2023

In the intricate world of machine learning algorithms, probability serves as the foundational pillar. To truly decipher the mechanisms and theories of these algorithms, it’s essential to have a firm understanding of probability fundamentals. Generates a bar chart depicting the count of rainy days in June from 2010 to 2022. .

Python 52

Python Algorithm Machine Learning Data Scientist 52

AWS Machine Learning Blog

OCTOBER 10, 2023

Challenges in FL You can address the following challenges using algorithms running at FL servers and clients in a common FL architecture: Data heterogeneity – FL clients’ local data can vary (i.e., Despite these challenges of FL algorithms, it is critical to build a secure architecture that provides end-to-end FL operations.

ML 92

ML Algorithm Machine Learning Neural Network 92

Flipboard

MAY 16, 2023

After co-founder and CEO Munjal Shah sold his previous company, Like.com, a shopping comparison site, to Google in 2010, he spent the better part of the next decade building Hippocratic. ” AI in healthcare, historically, has been met with mixed success.

Large Language Models 169

Large Language Models OpenAI Explainability LLM 169

O'Reilly Media

SEPTEMBER 19, 2023

And it (wisely) stuck to implementations of industry-standard algorithms. A common audience question was “can Hadoop run [my arbitrary analysis job or home-grown algorithm]?” Those algorithms packaged with scikit-learn? Other groups have tested evolutionary algorithms in drug discovery.

Algorithm 99

Algorithm Machine Learning Neural Network Data Scientist 99

Flipboard

JULY 31, 2023

Algorithms are important and require expert knowledge to develop and refine, but they would be useless without data. These datasets, essentially large collections of related information, act as the training field for machine learning algorithms. This involves feeding the images and their corresponding labels into an algorithm (e.g.,

Machine Learning 104

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 104

AWS Machine Learning Blog

DECEMBER 18, 2023

MongoDB’s robust time series data management allows for the storage and retrieval of large volumes of time-series data in real-time, while advanced machine learning algorithms and predictive capabilities provide accurate and dynamic forecasting models with SageMaker Canvas.

Data Extraction 104

Data Extraction Data Ingestion ML Machine Learning 104

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. Ignore the plateau around 2010: this is probably an artifact of the incompleteness of the MAG dump.)

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

TheSequence

DECEMBER 13, 2023

He holds a PhD in Theoretical Physics, was a 2010 Fulbright Scholar and has held research positions in Australia, the USA, and Switzerland. He has previously built machine learning-powered applications for start-ups and enterprises in the domains of natural language processing, topological data analysis, and time series.

LLM 64

LLM Natural Language Processing Machine Learning Deep Learning 64

Mlearning.ai

JANUARY 31, 2023

Control algorithm. It provides an out-of-the-box implementation of Madgwick’s filter , an algorithm that fuses angular velocities (from the gyroscope) and linear accelerations (from the accelerometer) to compute an orientation wrt the Earth’s magnetic field. Depending on the context, this assumption may be too optimistic.

Robotics 52

Robotics Algorithm Machine Learning Data Science 52

AWS Machine Learning Blog

NOVEMBER 9, 2023

This retrieval can happen using different algorithms. He received his PhD from University of Maryland, College Park in 2010. Administrator Workflow Contextual search Search a set of indexed code snippets based on a few lines of code above the cursor and retrieve relevant code snippets.

Natural Language Processing 82

Natural Language Processing NLP Large Language Models LLM 82

AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. The search precision can also be improved with metadata filtering.

Metadata 101

Metadata LLM NLP Conversational AI 101

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. Connect with me on LinkedIn for updates. Zaharia, M.,

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

TheSequence

JUNE 28, 2023

How I got started in Machine Learning: In the early 2010’s Artificial Intelligence was not yet mainstream, especially in South Africa. 🛠 ML Work You recently worked on AlphaDev, which reached a major milestone by discovering new sorting algorithms. One aspect is that AlphaDev built the algorithms in the assembly language.

Algorithm 104

Algorithm Machine Learning Artificial Intelligence Artificial Intelligence 104

ML Review

JUNE 4, 2018

Finally, one can use a sentence similarity evaluation metric to evaluate the algorithm. One such evaluation metric is the Bilingual Evaluation Understudy algorithm, or BLEU score. The idea of sampling an attention trajectory as an estimation was taken from a Reinforcement Learning algorithm called REINFORCE[88]. Paragios N.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

O'Reilly Media

JULY 20, 2021

After the release of the iPad in 2010 Craig Hockenberry discussed the great value of communal computing but also the concerns : “When you pass it around, you’re giving everyone who touches it the opportunity to mess with your private life, whether intentionally or not. This expectation isn’t a new one either.

Software Engineer 121

Software Engineer Automation Machine Learning ML 121

Towards AI

JULY 19, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. Neural Magic Neural Magic has 6 repositories available. Follow their code on GitHub. SparseZoo: a model repo for sparse models. Connected Papers

NLP 95

NLP Neural Network Natural Language Processing Computer Vision 95

Towards AI

JULY 21, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. Neural Magic Neural Magic has 6 repositories available. Follow their code on GitHub. SparseZoo: a model repo for sparse models. Connected Papers

NLP 52

NLP Neural Network Natural Language Processing Computer Vision 52

Viso.ai

DECEMBER 21, 2023

From the development of sophisticated object detection algorithms to the rise of convolutional neural networks (CNNs) for image classification to innovations in facial recognition technology, applications of computer vision are transforming entire industries. With this, he aimed to create more versatile and adaptive learning algorithms.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Flipboard

FEBRUARY 7, 2023

His team founded The Cancer Imaging Archive (TCIA) in 2010, which the research community has leveraged to publish over 200 datasets related to manuscripts, grants, challenge competitions, and major NCI research initiatives. These datasets have been discussed in over 1,500 peer reviewed publications.

Deep Learning 97

Deep Learning ML Python Data Science 97

Flipboard

NOVEMBER 22, 2023

This dataset aims to accelerate the development of event-based algorithms and methods for edge cases encountered by autonomous systems in dynamic environments. 94-171) Demonstration Noisy Measurement File from United States Census Bureau What are people doing with open data?

Robotics 84

Robotics Machine Learning Metadata ML 84

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning.

ETL 112

ETL Prompt Engineer Prompt Engineering Generative AI 112

AI Impacts

DECEMBER 13, 2023

For AI, this is the distinction between algorithmic progress and hardware progress. Figure 4: Record center of mass energy for a particle-particle collision in a particle accelerator from 1920 to 2010. Note the three distinct S-curves from about 1930-1945, 1945-1970, and 1970-2010.

Explainability 147

Explainability AI AI AI Developer 147