TELUS International Acquires Playment To Boost Computer Vision Capabilities
TELUS International operates in more than 25 countries and has more than 50,000 team members.
TELUS International operates in more than 25 countries and has more than 50,000 team members.
CurryAI — a computer vision aided Indian food nutrition calculator would be able to estimate the nutritional content of an Indian dish by means of analysing an image of the dish.
Earlier this month, Google researchers released a new algorithm called MLP-Mixer, an architecture based exclusively on multi-layered perceptrons (MLPs) for computer vision. The MLP-Mixer code
Are you thinking of learning programming languages like C++, Python or R to work on machine learning projects? AutoML could save you all the time
Computer Vision attempts what a human brain does with the aid of eyes. It is a branch of Deep Learning that deals with images and videos.
Facebook AI launched a computer vision system called DINO to segment unlabeled and random images and videos without supervision. The open-source PyTorch framework implementation and
Self-Attention Computer Vision is a PyTorch based library providing a one-stop solution for all of the self-attention based requirements
Just like the human brain, deep learning uses a neural network for object detection, speech recognition, translation, decision-making, and more. However, for deep learning —
“GLOM answers the question: How can a neural network with a fixed architecture parse an image into a part whole hierarchy which has a different
Recently, Amazon announced the general availability of a machine learning (ML) service, known as Amazon Lookout for Vision, with the ability to detect defects and
Recently, for an undisclosed amount, the local language technology platform from Bangalore, VerSe Innovation announced that the company has acquired Bangalore-based AI startup Cognirel Technologies
While image classification sounds like a simple process to human ears, it can be a daunting task for machines. Thus, purely based on attention, neural
With the onset of the pandemic, there was one thing that multiple industries adopted overnight – digital transformation. Rapid transformation that was to happen in
Monk is a low-code deep learning toolkit to leverage computer vision resources. It has plenty of use cases in computer vision-based problems such as image processing, image classification.
The potential of IoT and AI can be said as limitless. The key to finding the potential is basically to find practical use-cases where businesses
From 2010 ImageNet Large Scale Visual Recognition Challenge (ILSVRC) which is a global annual contest held where software programs(mostly these are Convnets) compete for image classification and detection of objects and scenes. The best algorithm with the least top 5 error rate is selected as the winner.
With the recent news, chipmaker Ambarella had announced the launch of its new computer vision chip for edge AI applications. Designed to bring massive AI
Analytics India Magazine caught up with Umesh, Co-Founder & Chief Operations Officer at CamCom to understand the underlying technology that focuses on AI, and how
In computer vision applications, attention is either applied along with CNNs or used to replace certain components of these convolutional networks while keeping their overall
One of the most favourite languages amongst the developers, Python is well-known for its abundance of tools and libraries available for the community. The language
In this article, I am going to explain how we can do motion detection with OpenCV and Python. Before starting you must be clear about
One of the interesting areas where computer vision is being explored is the video streaming platform. Video streaming has become one of the most important
The last talk of the Day 2 “Leveraging Computer Vision In Drone Tech” was presented at the Computer Vision conference of the year, CVDC 2020
The session “Intercepting Youth At Risk Using Computer Vision On Social Media Platforms” was presented at the first-of-its-kind virtual conference on Computer Vision, CVDC 2020
The session “Explainable AI For Computer Vision” was presented at the first of its kind Computer Vision conference, CVDC 2020 by Avni Gupta, who is
Artificial intelligence is becoming a part of every conversation that we have today. One of the important subfields of AI, computer vision has recently exploded
While computer vision has become one of the most used technologies across the globe, computer vision models are not immune to threats. One of the
For any large-scale computer vision application, one of the critical criteria to success is the quality and quantity of the training dataset required to train
In recent years, deep learning models have produced a substantial amount of advances in various areas, including computer vision. Computer vision typically usually works by
Computer Vision has seen rapid growth over the last few years, primarily due to deep learning which has allowed the capability to detect obstacles, segment
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