Unite.AI

AUGUST 7, 2023

Amir Hever is the CEO and co-founder of UVeye , a deep learning computer vision startup that is setting the global standard for vehicle inspection with fast and accurate anomaly detection to identify issues or threats facing the automotive and security industries. UVeye is Hever’s third venture.

Computer Vision 246

Computer Vision Algorithm Deep Learning Machine Learning 246

NVIDIA

DECEMBER 27, 2024

Since the shows debut in 2016, its garnered more than 6 million listens across 200-plus episodes, covering how generative AI is used to power applications including assistive technology for the visually impaired , wildfire alert systems and the Roblox online game platform.

Generative AI 97

Generative AI AI AI Deep Learning 97

Towards AI

SEPTEMBER 1, 2023

SpaCy is a language processing library written in Python and Cython that has been well-established since 2016. The majority of processing is a combination of deep learning, Transformers technologies (since version 3.0), and statistical analysis.

LLM 116

LLM Large Language Models Deep Learning Python 116

Unite.AI

JULY 29, 2024

Neural Machine Translation (NMT) In 2016, Google made the switch to Neural Machine Translation. It uses deep learning models to translate entire sentences as a whole and at once, giving more fluent and accurate translations. NMT operates similarly to having a sophisticated multilingual assistant within your computer.

Neural Network 264

Neural Network Deep Learning Machine Learning Automation 264

Viso.ai

NOVEMBER 5, 2024

The YOLO Family of Models The first YOLO model was introduced back in 2016 by a team of researchers, marking a significant advancement in object detection technology. Unlike the two-stage models popular at the time, which were slow and resource-intensive, YOLO introduced a one-stage approach to object detection.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Categorization Automation 98

Viso.ai

DECEMBER 17, 2024

PaddlePaddle (PArallel Distributed Deep LEarning), is a deep learning open-source platform. It is China’s very first independent R&D deep learning platform. After that, this framework has been officially opened to professional communities since 2016. To learn more, book a demo with our team.

Deep Learning 52

Deep Learning Computer Vision Neural Network Artificial Intelligence 52

NVIDIA

OCTOBER 11, 2024

Deep learning — a software model that relies on billions of neurons and trillions of connections — requires immense computational power. Traditional CPUs, designed for sequential tasks, couldn’t efficiently handle this workload.

Neural Network 145

Neural Network Deep Learning AI AI 145

Unite.AI

MARCH 5, 2024

Object detection has seen rapid advancement in recent years thanks to deep learning algorithms like YOLO (You Only Look Once). Review of Previous YOLO Versions The YOLO (You Only Look Once) family of models has been at the forefront of fast object detection since the original version was published in 2016.

Deep Learning 283

Deep Learning Neural Network Computer Vision Algorithm 283

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

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

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

BAIR

APRIL 6, 2023

These robots use recent advances in deep learning to operate autonomously in unstructured environments. By pooling data from all robots in the fleet, the entire fleet can efficiently learn from the experience of each individual robot. training of large models) to the cloud via the Internet.

Robotics 246

Robotics Algorithm Continuous Learning Artificial Intelligence 246

Unite.AI

SEPTEMBER 12, 2023

My team’s focus has been the application of algorithms, machine learning and software tools building for the analysis of large-scale genomic and biomolecular data. I left Stanford in 2016 to lead a research and technology development team at Illumina. Since then, I have enjoyed leading R&D teams in industry.

Machine Learning 299

Machine Learning LLM Data Analysis Data Science 299

NYU Center for Data Science

JULY 18, 2023

The group was first launched in 2016 by Associate Professor of Computer Science, Data Science and Mathematics Joan Bruna , and Associate Professor of Mathematics and Data Science and incoming CDS Interim Director Carlos Fernandez-Granda with the goal of advancing the mathematical and statistical foundations of data science.

Data Science 97

Data Science Machine Learning Natural Language Processing Robotics 97

Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. Template Matching —  Video Tutorial , Written Tutorial 12.

Computer Vision 98

Computer Vision Deep Learning Python Neural Network 98

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

Marktechpost

NOVEMBER 18, 2023

In Australia’s Great Barrier Reef in 2016, bleaching killed 29–50% of the coral. Researchers from Chosun University in this project aim to create deep learning and handmade feature extraction methods that can withstand the geometric and visual variances found in photos of maritime environments.

Machine Learning 111

Machine Learning Neural Network Computer Vision Deep Learning 111

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 117

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 117

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

Unite.AI

AUGUST 1, 2024

These deep learning algorithms are trained on domain-specific videos from sources like CCTV, body-worn cameras, and road survey footage. The AI leverages supervised learning and proprietary deep learning techniques, trained on a large variety of photos and video frames from diverse environments and cameras.

Machine Learning 147

Machine Learning Deep Learning Automation Computer Vision 147

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 98

Computer Vision Deep Learning Categorization Algorithm 98

ML @ CMU

NOVEMBER 7, 2024

For the Risk Modeling component, we designed a novel interpretable deep learning tabular model extending TabNet. Formally, we use the risk scores (r_i) estimated by our trained deep learning model to compute proxies for the benefit of demining candidate grid cell (i) with centroid ((x_i,y_i)).

Machine Learning 61

Machine Learning Deep Learning AI AI 61

TheSequence

MARCH 9, 2025

One of RL's most notable early successes was demonstrated by Google DeepMind's AlphaGo, which defeated world-class human Go players in 2016 and 2017. This achievement highlighted RL's potential when combined with deep learning techniques, paving the way for deep reinforcement learning.

LLM 52

LLM Robotics Artificial Intelligence Artificial Intelligence 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 98

Computer Vision Neural Network Machine Learning Deep Learning 98

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

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 90

Deep Learning Machine Learning AI AI 90

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 111

Machine Learning Deep Learning ChatGPT ML 111

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 87

Deep Learning Machine Learning AI AI 87

NVIDIA

AUGUST 22, 2023

includes Ray Reconstruction, Super Resolution, Deep Learning Anti-Aliasing and Frame Generation. Head to the cloud and stream new titles joining later this week, including DOOM 2016 from Bethesda. Ray Reconstruction is now included as part of DLSS 3.5, See DLSS 3.5 in Action at Gamescom DLSS 3.5

Deep Learning 98

Deep Learning AI AI AI Modeling 98

Viso.ai

OCTOBER 15, 2024

The method won the COCO 2016 Keypoints Challenge and is popular for quality and robustness in multi-person settings. It can jointly detect the human body, foot, hand, and facial key points on single images. OpenPose is capable of detecting a total of 135 key points. Keypoints detected by OpenPose on the Coco Dataset. Who Created OpenPose?

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Algorithm 98

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

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 83

Software Development Responsible AI Large Language Models Generative AI 83

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 Deep Learning 52

ML Review

JUNE 4, 2018

However, in 2014 a number of high-profile AI labs began to release new approaches leveraging deep learning to improve performance. Source : Britz (2016)[ 62 ] CNNs can encode abstract features from images. 2016)[ 91 ] You et al. 2016)[ 95 ] Next we introduce the concept of adaptive attention from Lu et al.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 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 101

AI AI Machine Learning Explainability 101

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 104

AI Modeling AI AI Data Scientist 104

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.

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AI AI OpenAI Large Language Models 130