Pickl AI

APRIL 8, 2024

Example In 2016, an investigation by ProPublica revealed that a risk assessment algorithm used in US courts to predict recidivism rates was biased against Black defendants. Example In 2016, a chatbot developed by Microsoft called Tay was launched on Twitter.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Algorithm AI 52

Marktechpost

JULY 17, 2023

MATLAB Image, video, and signal processing, deep learning, machine learning, and other applications can all benefit from the programming environment MATLAB. This framework supported a variety of deep learning architectures for picture segmentation and classification and was made in the C++ programming language.

Computer Vision 96

Computer Vision Neural Network Machine Learning Deep Learning 96

Towards AI

JULY 19, 2023

Deep learning algorithms can be applied to solving many challenging problems in image classification. Therefore, Now we conquer this problem of detecting the cracks using image processing methods, deep learning algorithms, and Computer Vision. 1030–1033, 2016. View at: Publisher Site | Google Scholar R.

Computer Vision 80

Computer Vision Deep Learning Categorization Automation 80

NVIDIA

NOVEMBER 10, 2023

When Rome Meets RAM: Older GPU Helps Uncover Even Older Text Introduced in 2016, the GTX 1070 is celebrated among gamers, who have long praised the GPU for its balance of performance and affordability.

Deep Learning 75

Deep Learning AI AI Machine Learning 75

NVIDIA

NOVEMBER 10, 2023

When Rome Meets RAM: Older GPU Helps Uncover Even Older Text Introduced in 2016, the GTX 1070 is celebrated among gamers, who have long praised the GPU for its balance of performance and affordability.

Deep Learning 72

Deep Learning AI AI Machine Learning 72

Viso.ai

JANUARY 9, 2024

TensorFlow is one of the easiest computer vision tools and allows users to develop computer vision-related machine learning models for tasks like facial recognition , image classification, object detection , and more. Tensorflow, like OpenCV, also supports various languages like Python, C, C++, Java, or JavaScript. The Ultimate Overview.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Pickl AI

FEBRUARY 14, 2023

According to the Ministry of Commerce, the number of startups in India has grown from 471 in 2016 to 72,993 in 2022. Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai Artivatic.ai Artivatic.ai Therefore, Betterhalf.ai

BERT 52

BERT Artificial Intelligence Artificial Intelligence AI 52

Towards AI

FEBRUARY 27, 2024

The whole machine learning industry since the early days was growing on open source solutions like scikit learn (2007) and then deep learning frameworks — TensorFlow (2015) and PyTorch (2016). More than 99% of Fortune 500 companies use open-source code [2].

Machine Learning 94

Machine Learning Deep Learning ChatGPT ML 94

Artificial Corner

APRIL 19, 2024

Nearly 250 years later, in 2016, Amazon executed a similar stunt. However, the real breakthrough in this AI advancement, which integrated technologies such as Computer Vision, Sensor Fusion, and Deep Learning, relied significantly on about 1000 individuals in India.

AI 98

AI AI Computer Vision Deep Learning 98

Mlearning.ai

APRIL 10, 2023

Supervised machine learning (such as SVM or GradientBoost) and deep learning models (such as CNN or RNN) can promise far superior performances when comparing them to clustering models however this can come at a greater cost with marginal rewards to the environment, end-user, and product owner of such technology. 2016.2545384.

Algorithm 52

Algorithm Machine Learning Data Analysis Deep Learning 52

NVIDIA

DECEMBER 26, 2023

Among tech’s top podcasts, the AI Podcast has racked up more than 200 episodes and nearly 5 million total plays since its debut in 2016. NVIDIA’s AI Podcast had its best year yet — with a record-breaking 1.2 million plays in 2023 and each biweekly episode now drawing more than 30,000 listens.

Software Development 72

Software Development Responsible AI Large Language Models AI 72

ODSC - Open Data Science

SEPTEMBER 22, 2023

He is responsible for defining and leading the business that extends the company’s semantic layer platform to address the rapidly expanding set of Enterprise AI and machine learning applications. Alex Watson | Co-Founder | Gretel AI Alex has been a trailblazer in the technology sector, focusing on data security and innovation.

Software Engineer 52

Software Engineer Machine Learning Data Science NLP 52

Marktechpost

JULY 24, 2023

Many studies have been motivated to explore hidden hierarchical patterns in the large volume of weather datasets for weather forecasting due to the recent development of deep learning techniques, the widespread availability of massive weather observation data, and the advent of information and computer technology.

Deep Learning 52

Deep Learning Convolutional Neural Networks Neural Network ML 52

NVIDIA

JANUARY 16, 2024

So began the organization’s trustworthy AI efforts, in 2016, to accelerate its work using ASR. “No Turning to Trustworthy AI Such a trove held incredible value for those working to revitalize the language, the Te Hiku Media team quickly realized, but manual transcription required pulling lots of time and effort from limited resources.

AI Modeling 94

AI Modeling AI AI Data Scientist 94

Heartbeat

SEPTEMBER 13, 2023

For example, explainability is crucial if a healthcare professional uses a deep learning model for medical diagnoses. Captum allows users to explain both deep learning and traditional machine learning models. Explainability in Machine Learning || Seldon Blazek, P. References Castillo, D. Russell, C. &

Explainability 52

Explainability Machine Learning Deep Learning Explainable AI 52

NVIDIA

JUNE 5, 2023

Opening the Lab Doors In 2016, Girone was named CTO of CERN openlab, a group that gathers academic and industry researchers to accelerate innovation and tackle future computing challenges. Its superconducting magnets operate near absolute zero, creating collisions that are briefly millions of times hotter than the sun.

AI 98

AI AI Machine Learning Explainability 98

Heartbeat

AUGUST 23, 2023

Natural language processing and machine learning for law and policy texts. Artificial intelligence in law: The state of play 2016. Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners.

NLP 52

NLP Natural Language Processing Algorithm Categorization 52

Artificial Corner

JUNE 18, 2023

Advances in deep learning and other NLP techniques have helped solve some of these challenges and have led to significant improvements in performance of QA systems in recent years. The DeepPavlov Library uses BERT base models to deal with Question Answering, such as RoBERTa. Unlike the original SQuAD dataset, SQuAD 2.0

ChatGPT 105

ChatGPT Natural Language Processing BERT NLP 105

AI Impacts

FEBRUARY 1, 2023

Preprint posted online June 21, 2016. 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. New York, NY: W.W. link] 7 Ngo R.

AI 130

AI AI OpenAI Large Language Models 130

ML Review

FEBRUARY 26, 2018

Tasks such as “I’d like to book a one-way flight from New York to Paris for tomorrow” can be solved by the intention commitment + slot filing matching or deep reinforcement learning (DRL) model. Chitchatting, such as “I’m in a bad mood”, pulls up a method that marries the retrieval model with deep learning (DL).

Robotics 52

Robotics Deep Learning Chatbots Natural Language Processing 52

John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. For visual question answering in Deep Learning using NLP, public datasets play a crucial role. Is aqua the maximum?

Natural Language Processing 40

Natural Language Processing Deep Learning NLP Convolutional Neural Networks 40

NLP People

APRIL 2, 2018

You can also check out Paris Datageeks , Artificial Intelligence Paris , the Paris Machine Learning Applications Group or Meetup’s list of NLP Meetups worldwide. Deep Learning: Free Lecture The Collège de France posts many of their study resources online, free for viewing or download.

NLP 52

NLP Data Mining Natural Language Processing Machine Learning 52

Viso.ai

FEBRUARY 28, 2023

Computer vision applications built using OpenCV and deep learning models – Viso Suite Who uses OpenCV? It was later supported by Willow Garage and the computer vision startup Itseez which Intel acquired in 2016. The OpenCV GPU module provides explicit control on how data is moved between CPU and GPU memory.

Computer Vision 52

Computer Vision Automation Algorithm Deep Learning 52

AWS Machine Learning Blog

APRIL 16, 2024

It employs advanced deep learning technologies to understand user input, enabling developers to create chatbots, virtual assistants, and other applications that can interact with users in natural language. If you download the example template and deploy it, you should see that an IAM role has been created. Resources: # 1.

Automation 86

Automation Deep Learning Artificial Intelligence Artificial Intelligence 86

Heartbeat

FEBRUARY 2, 2024

Deep residual learning for image recognition. Editor's Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners. Ren, S., & Sun, J.

Computer Vision 52

Computer Vision Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Viso.ai

DECEMBER 4, 2023

As a result, frameworks such as TensorFlow and PyTorch have been created to simplify the creation, serving, and scaling of deep learning models. With the increased interest in deep learning in recent years, there has been an explosion of machine learning tools. PyTorch Overview PyTorch was first introduced in 2016.

Neural Network 98

Neural Network Deep Learning Python Machine Learning 98

Probably Approximately a Scientific Blog

AUGUST 14, 2018

Since I’ve started this blog 3 years ago, I’ve been refraining from writing about deep learning (DL), with the exception of occasionally discussing a method that uses it, without going into details. It’s a challenge to explain deep learning using simple concepts and without the caveat of remaining at a very high level.

Deep Learning 52

Deep Learning NLP Neural Network Machine Learning 52

Unite.AI

JANUARY 9, 2024

Google focuses on expanding AI in search, advertising, cloud, healthcare, and education, with a particular emphasis on deep learning. Intel's acquisition of Nervana in 2016 strengthened its position in AI chip development, and Salesforce's acquisition of MetaMind in 2016 resulted in the creation of the AI platform Einstein.

Natural Language Processing 147

Natural Language Processing Computer Vision Robotics AI 147

PyImageSearch

NOVEMBER 13, 2023

Home Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al.

Convolutional Neural Networks 120

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 120

Dlabs.ai

FEBRUARY 10, 2020

Professor Simon Washington of the University of Queensland, Australia, combined video analysis with Artificial Intelligence, Deep Learning , and advanced econometrics to explore and identify interactions between road users. If you open the suitcase and show me what is inside, will it confirm that your answers were true?”

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Automation 52

Viso.ai

DECEMBER 3, 2023

The recent deep learning algorithms provide robust person detection results. However, deep learning models such as YOLO that are trained for person detection on a frontal view data set still provide good results when applied for overhead view person counting ( TPR of 95%, FPR up to 0.2% ).

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

The Stanford AI Lab Blog

OCTOBER 13, 2021

Deep learning face attributes in the wild. Dropout as a Bayesian approximation: Representing model uncertainty in deep learning. In International Conference on Machine Learning (ICML), 2016. ↩ ↩ 2 Yonatan Geifman and Ran El-Yaniv. Selective classification for deep neural networks.

Neural Network 40

Neural Network Machine Learning Computational Linguistics Deep Learning 40

Explosion

NOVEMBER 9, 2016

now features deep learning models for named entity recognition, dependency parsing, text classification and similarity prediction based on the architectures described in this post. You can now also create training and evaluation data for these models with Prodigy , our new active learning-powered annotation tool. Bowman et al.

Deep Learning 52

Deep Learning NLP Convolutional Neural Networks Neural Network 52

Snorkel AI

MAY 3, 2023

This is a model trained on the Berkeley Deep Drive-100k dataset , performing bounding box tracking on the road. Whenever we see videos like this, we may get this overly positive impression of how remarkable deep learning models are, which is true in some cases.

Machine Learning 52

Machine Learning Neural Network Explainability Data Scientist 52

Snorkel AI

MAY 3, 2023

This is a model trained on the Berkeley Deep Drive-100k dataset , performing bounding box tracking on the road. Whenever we see videos like this, we may get this overly positive impression of how remarkable deep learning models are, which is true in some cases.

Machine Learning 52

Machine Learning Neural Network Explainability Data Scientist 52

Mlearning.ai

MARCH 9, 2023

Recent studies have demonstrated that deep learning-based image segmentation algorithms are vulnerable to adversarial attacks, where carefully crafted perturbations to the input image can cause significant misclassifications (Xie et al., Towards deep learning models resistant to adversarial attacks. 2018; Sitawarin et al.,

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

AssemblyAI

NOVEMBER 8, 2023

This aligns with the scaling laws observed in other areas of deep learning, such as Automatic Speech Recognition and Large Language Models research. 2016 (ACL2016) model the Truecasing task through a Sequence Tagging approach performed at the character level. 2016 is still at the forefront of the SOTA models.

Neural Network 147

Neural Network BERT Large Language Models Deep Learning 147