🔹A new model of vision

Summary: A new computer model captures the human visual system’s ability to quickly generate a detailed scene description from an image.

📗Source: MIT
When we open our eyes, we immediately see our surroundings in great detail. How the brain is able to form these richly detailed representations of the world so quickly is one of the biggest unsolved puzzles in the study of vision.

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📌Via: @cedeeplearning
📌social media: https://linktr.ee/cedeeplearning

link: https://neurosciencenews.com/computer-vision-15862/

#computervision
#deeplearning
#machinelearning
#neuralnetworks

Pixel RNN sequentially predicts the pixels in an image along the two spatial dimensions. The method models the discrete probability of the raw pixel values and encodes the complete set of dependencies in the image.
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Paper: https://arxiv.org/abs/1601.06759
Via: @CEdeeplearning 📌
Other social media: https://linktr.ee/cedeeplearning
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#pixelrnn #generativemodel #computervision #rnn #cnn #neuralnetworks #deeplearning #machinelearning

🔻Using computers to view the unseen

From: Rachel Gordon

A new computational imaging method could change how we view hidden information in scenes.
Cameras and computers together can conquer some seriously stunning feats. Giving computers vision has helped us fight wildfires in California, understand complex and treacherous roads — and even see around corners.
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📌Via: @cedeeplearning


http://news.mit.edu/2019/using-computers-view-unseen-computational-mirrors-mit-csail-1206

#deeplearning
#computervision
#neuralnetworks
#objectdetection
#machinelearning

🔻DEPLOYING COMPUTER VISION TO HELP SOCIAL DISTANCING AMID PANDEMIC OUTBREAK

This can help to:

· Know the number of people in given public place or facility

· If the gatherings are confined by mandated congregation limit

· Know where and when the cleaning personnel should focus their activities of sanitizing and waste disposal

· Check if people are wearing face masks in the suggested regions

· Observe if people are following recommended social distancing policies.

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📌Via: @cedeeplearning

https://www.analyticsinsight.net/deploying-computer-vision-to-help-in-social-distancing-amid-pandemic-outbreak/

#computervision
#AI
#COVID19
#deeplearning
#machinelearning

🔹HOW COMPUTER VISION, AI, AR AND OTHERS ARE ENHANCING IN-VEHICLE EXPERIENCES?

By Smriti Srivastava

Some latest emerging in-vehicle technologies that are changing how people interact with cars:

🔹Authentication Through Biometric

🔹In-vehicle Voice Assistant


🔹Augmented Reality for Heads-up Displays

🔹Reducing Human Error Through Vision-based Monitoring

🔹Retail and Entertainment

Tech-optimized Parking
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📌Via: @cedeeplearning

https://www.analyticsinsight.net/computer-vision-ai-ar-others-enhancing-vehicle-experiences/

#selfdrivingcar
#deeplearning
#AI
#computervision

🔹FROM DETECTING CANCER TO SURGICAL HYPERTENSION, MACHINE LEARNING IS POWERFUL
by Priya Dialani

Machine learning models could furnish doctors and masters with data that will help prevent readmissions or other treatment options, or help forestall things like delirium, current areas of active improvement. Notwithstanding blood pressure, machine learning could locate an extraordinary use in the ICU, in predicting sepsis, which is critical for patient survival. Having the option to process that data in the ICU or in the emergency department, that would be a critical zone to utilize these machine learning analytics models.
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📌Via: @cedeeplearning

https://www.analyticsinsight.net/from-detecting-cancer-to-surgical-hypertension-machine-learning-is-powerful/

#machinelearning
#deeplearning
#datascience #healthcare
#neuralnetworks
#imagedetection
#computervision

🔻🔻Using AI to predict breast cancer and personalize care

MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.

A team from MIT’s #Computer_Science and #Artificial_Intelligence Laboratory (CSAIL) and Massachusetts General Hospital (MGH) has created a new deep-learning model that can predict from a mammogram if a patient is likely to develop breast cancer as much as five years in the future. Trained on mammograms and known outcomes from over 60,000 MGH patients, the model learned the subtle patterns in breast tissue that are precursors to malignant tumors.
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📌Via: @cedeeplearning

http://news.mit.edu/2019/using-ai-predict-breast-cancer-and-personalize-care-0507

#deeplearning
#neuralnetworks
#machinelearning
#datascience
#MIT #math
#prediction
#computervision

🔹DISCOVER THE RISING TRENDS IN COGNITIVE SYSTEMS AND COMPUTING
by Smriti Srivastava

1. Cognitive system investments
2. Cognitive system in healthcare
3. Cognitive system in travel
4. Cognitive system in fitness
5. Cognitive system in transportation
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📌Via: @cedeeplearning

https://www.analyticsinsight.net/discover-rising-trends-cognitive-computing-systems/

#deeplearning
#computervision
#cognitive
#trend

🔹Google leverages computer vison to enhance the performance of robot manipulation

by Priya Dialani

The possibility that robots can figure out how to directly see the affordances of actions on objects (i.e., what the robot can or can’t do with an item) is called affordance-based manipulation, explored in research on learning complex vision-based manipulation skills including grasping, pushing, and tossing. In these #frameworks, affordances are represented as thick pixel-wise action-value maps that gauge how great it is for the #robot to execute one of a few predefined movements in every area.
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📌Via: @cedeeplearning

https://www.analyticsinsight.net/google-leverages-computer-vision-enhance-performance-robot-manipulation/

#computervision
#deeplearning
#neuralnetworks
#machinelearning

🔻THE RISE OF COMPUTER VISION TECHNOLOGY

🖊by Preetipadma

A lot of factors have contributed to the revolutionizing success of AI. Computer Vision is one of those driving elements. It is a sequential integration of three distinct processes, i.e. acquisition of images or visual stimuli from the real world in the form of binary data, image processing in form of edge detection, segmentation matching and lastly analysis and interpretation. From augmented reality games to self-driving cars to Apple’s Facial Unlock feature, it has deeply impacted our life. And this influence is not free of consequences. However, on the flip side, it has been welcomed with generally encourage reviews.
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📌Via: @cedeeplearning

link: https://www.analyticsinsight.net/the-rise-of-computer-vision-technology/

#computervision #deeplearning
#neuralnetworks #imagedetection
#selfdrivingcars #machinelearning

🔻DEEP LEARNING TO ANALYSE HUMAN ACTIVITIES RECORDED ON VIDEOS

by Kamalika Some

Analyzing live videos by leveraging deep learning is the trendiest technology aided by computer vision and multimedia analysis. Analysing live videos is a very challenging task and its application is still at nascent stages. Thanks to the recent developments in deep learning techniques, researchers in both computer vision and multimedia communities have been able to gather momentum to drive business processes and revenues.
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📌Via: @cedeeplearning

https://www.analyticsinsight.net/deep-learning-to-analyse-human-activities-recorded-on-videos/

#deeplearning #imagedetection
#neuralnetworks #computervision
#machinelearning #trend #AI

🔹Computer scientists propose method to make computer vision less biased

by Vivek Kumar

Computer scientists from Princeton and Stanford University are working to address problems of bias in Artificial Intelligence. For that, they have built methods to gain fairer data sets containing images of people. The researchers work closely with ImageNet, a database of over 14 million images that has assisted in advancing computer vision over the past decade.

ImageNet, an image database, comprises images of objects, landscapes and people. It serves as a source of training data for researchers who create machine learning algorithms that classify images. Its unprecedented scale required automated image collection and crowd-sourced image annotation.
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📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

link: https://www.analyticsinsight.net/computer-scientists-propose-methods-make-computer-vision-less-biased/

#computervision #deeplearning
#machinelearning #datascience
#neuralnetworks

🔗 Build your Own Object Detection Model using #TensorFlow API

🔻The World of Object Detection

🔹One of my favorite computer vision and deep learning concepts is object detection. The ability to build a model that can go through images and tell me what objects are present – it’s a priceless feeling!

👍 Nice reading article
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📌Via: @cedeeplearning

https://www.analyticsvidhya.com/blog/2020/04/build-your-own-object-detection-model-using-tensorflow-api/

#object_detection
#imagedetection
#deeplearning #computervision
#AI #machinelearning
#neuralnetworks