Unite.AI

MAY 14, 2024

By automating tasks and personalizing interactions, AI enhances the efficiency and effectiveness of political campaigns. The 2016 US presidential election and subsequent events have spotlighted the multifaceted influence of digital technologies on voter decisions and political campaigns. At the core of AI-driven campaigns lies data.

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Algorithm Chatbots Machine Learning AI 214

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. As a result, researchers trained YOLOv4 and YOLOv4-tiny to automate the inspection process and received an mAP of 77.7%, 78.7%

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Convolutional Neural Networks Neural Network Categorization Automation 98

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

Unite.AI

NOVEMBER 29, 2023

AI watchdogs are automated systems that employ AI technologies to monitor, analyze, and regulate specific activities or domains with ethical considerations. Looking back at the recent past, the 2016 US presidential election result makes us explore what influenced voters' decisions.

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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

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. IFL scales up robot learning with four key components: On-demand supervision.

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Unite.AI

AUGUST 1, 2024

How does Secure Redact leverage AI to automate the redaction of personal and sensitive data in video footage? Secure Redact uses advanced machine learning and computer vision techniques to recognize and redact personally identifiable information (PII) in various image and video contexts, such as faces and license plates.

Machine Learning 147

Machine Learning Deep Learning Automation Computer Vision 147

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% ).

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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

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.

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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.

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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.

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Neural Network Deep Learning Python Machine Learning 98

Marktechpost

JULY 17, 2023

Businesses and governmental bodies worldwide use Viso Suite to create and manage their portfolio of computer vision applications (for industrial automation, visual inspection, remote monitoring, and more). DeepFace The most well-liked open-source computer vision library for deep learning facial recognition at the moment is DeepFace.

Computer Vision 98

Computer Vision Neural Network Machine Learning Deep Learning 98

AWS Machine Learning Blog

MAY 10, 2023

Users can select a notebook and automate it as a job that runs in a production environment via a simple yet powerful user interface. This distribution includes deep learning frameworks like PyTorch, TensorFlow, and Keras; popular Python packages like NumPy, scikit-learn, and pandas; and IDEs like JupyterLab and the Jupyter Notebook.

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ML Generative AI Data Scientist Data Science 104

Artificial Corner

APRIL 19, 2024

This device showcased its automated chess master skills across Europe, frequently emerging victorious in matches against human opponents. Nearly 250 years later, in 2016, Amazon executed a similar stunt. It even reputedly defeated notable figures such as Napoleon and Benjamin Franklin.

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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. aims to build advanced insurance products and solutions for simplifying risk assessment, process automation and digitalisation to enable access to insurance. Artivatic.ai Artivatic.ai Therefore, Betterhalf.ai

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Marktechpost

SEPTEMBER 1, 2023

AIVA, built in 2016, is another outstanding AI music creator consistently attracting notice. Deep learning, music theory, and dynamic analysis are all combined in Melodrive to create the music. You have even more options with the premium edition that support you as the artist.

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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. Automation – Using a CloudFormation template allows you to automate the deployment process. Resources: # 1.

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NVIDIA

OCTOBER 23, 2024

The country is one of the top six global economies leading generative AI adoption and has seen rapid growth in its startup and investor ecosystem, rocketing to more than 100,000 startups this year from under 500 in 2016. Conversational AI for Indian Railway Customers Bengaluru-based startup CoRover.ai billion users in over 100 languages.”

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Conversational AI Chatbots Generative AI Natural Language Processing 96

Viso.ai

DECEMBER 6, 2024

Advanced driver assistance systems (ADAS) and automated driving systems (ADS) are both new forms of driving automation. Levels of Automation in Vehicles – Source Here we present the development timeline of the autonomous vehicles. 2016) introduced a unified framework to detect both cyclists and pedestrians from images.

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AWS Machine Learning Blog

JANUARY 17, 2024

After you’re in SageMaker Studio, you can access SageMaker JumpStart, which contains pre-trained models, notebooks, and prebuilt solutions, under Prebuilt and automated solutions. The underlying Deep Learning Container (DLC) of the deployment is the Large Model Inference (LMI) NeuronX DLC. He retired from EPFL in December 2016.nnIn

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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.

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ODSC - Open Data Science

OCTOBER 4, 2024

His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, and deep reinforcement learning algorithms. She also advises companies on building AI platforms.

Data Science 52

Data Science Machine Learning Neural Network Software Engineer 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., 2019) proposed a novel adversarial training framework for improving the robustness of deep learning-based segmentation models. 2018; Sitawarin et al.,

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ML Review

FEBRUARY 26, 2018

Technology companies such as Google, Facebook, Microsoft, Amazon and Apple are at the forefront of personalized interactive products where intelligent human-computer interactions (IHCI) technology will continue to play a central role in automated messaging, task assistance and the Internet of Things. 2016 [6] Li J, Monroe W, Ritter A, et al.

Robotics 52

Robotics Deep Learning Chatbots Machine Learning 52

Viso.ai

JANUARY 9, 2024

Enterprises and governmental organizations worldwide use Viso Suite to build and operate their portfolio of computer vision applications (for industrial automation, visual inspection, remote monitoring, and more ). Tensorflow, like OpenCV, also supports various languages like Python, C, C++, Java, or JavaScript.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Pickl AI

AUGUST 22, 2024

Introduction Deep Learning frameworks are crucial in developing sophisticated AI models, and driving industry innovations. By understanding their unique features and capabilities, you’ll make informed decisions for your Deep Learning applications.

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Deep Learning Neural Network Machine Learning Natural Language Processing 52

Viso.ai

OCTOBER 7, 2024

billion tons of municipal solid waste was generated globally in 2016 with experts predicting a steep rise to 3.40 Researchers have developed various models to automate these tasks and thus improve recycling rates. As per the World Bank, 2.01 billion tons in 2050. However, truly effective waste management is no simple task.

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Convolutional Neural Networks Computer Vision Neural Network Robotics 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning. In 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer.

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ML Deep Learning Algorithm Large Language Models 104

Heartbeat

AUGUST 23, 2023

NLP enables legal professionals to quickly organize and prioritize information by automating the procedures of document classification and grouping. NLP reduces human error by automating processes like document classification, allowing legal practitioners to confidently rely on precise and comprehensive data.

NLP 52

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Pickl AI

JULY 24, 2024

The advent of big data, coupled with advancements in Machine Learning and deep learning, has transformed the landscape of AI. Techniques such as neural networks, particularly deep learning, have enabled significant breakthroughs in image and speech recognition, natural language processing, and autonomous systems.

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AWS Machine Learning Blog

MARCH 29, 2023

Quality prediction – The estimation of a quality variable on the basis of process variables for decision support or for automation. References Tercan H, “Machine learning and deep learning based predictive quality in manufacturing: a systematic review”, Journal of Intelligent Manufacturing, 2022.

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ML Machine Learning Algorithm Data Scientist 93

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.

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Dlabs.ai

FEBRUARY 10, 2020

It’s not a surprise that many businesses first foray into the world of artificial intelligence is cybersecurity-related — as today, mechanisms that use AI (and tools that automate the prevention of cyberattacks) are the most effective. See also: How to Increase Accounting Efficiency Using AI Invoice Automation 3.

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Artificial Intelligence Artificial Intelligence Machine Learning Algorithm 52

Viso.ai

MAY 1, 2024

Deep learning and Convolutional Neural Networks (CNNs) have enabled speech understanding and computer vision on our phones, cars, and homes. Thus, the researchers can collect data in multiple homes, which will, in turn, employ SaaS machine learning, and will control the deployed robots. Stone and R. Brooks et al. Brooks et al.

Robotics 52

Robotics Convolutional Neural Networks Computer Vision Deep Learning 52

deepsense.ai

MAY 7, 2023

We talked about diffusion in deep learning, models that utilize it to generate images, and several ways of fine-tuning it to customize your generative model. All of that can leave even the toughest deep-learning practitioner confused. 2016 VGGFace2: A dataset for recognising faces across pose and age , Cao et al.

Neural Network 52

Neural Network Convolutional Neural Networks Explainability Deep Learning 52

Marek Rei

JANUARY 17, 2018

The only filter that I applied was to exclude papers older than 2016, as the goal is to give an overview of the more recent work. On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems Pei-Hao Su, Milica Gasic, Nikola Mrksic, Lina Rojas-Barahona, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve Young.

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