Aiiot Talk

JULY 31, 2023

One study using this technology combined it with RFID tags that can show the exact location of individual cows at a given time. Modern agricultural technology is taking this a step further by quantifying key genetic markers for cattle health. Early intervention can save a cow’s life regarding serious illnesses like BRD.

Machine Learning 130

Machine Learning AI AI Computer Vision 130

IBM Journey to AI blog

OCTOBER 16, 2023

In genetic research, gene modification and genome sequencing, ML is used to identify how genes impact health. ML can identify genetic markers and genes that will or will not respond to a specific treatment or drug and may cause significant side effects in certain people. Then, it suggests the social media user tag that individual.

Machine Learning 124

Machine Learning ML Algorithm Chatbots 124

IBM Journey to AI blog

APRIL 18, 2024

While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag. AGI might analyze medical images, patient records, and genetic data to identify subtle patterns that might escape human attention. Example : A patient visits a doctor with concerning symptoms.

Neural Network 233

Neural Network LLM AI AI 233

Mlearning.ai

APRIL 11, 2023

Output using Meta’s SAM for tagging boxes Quality Management in manufacturing Image Segmentation can be used for quality management in manufacturing by identifying defective items. Additionally, SAM can be used to identify misplaced products and help workers locate specific items more quickly, reducing the time spent searching for products.

Algorithm 98

Algorithm Artificial Intelligence Artificial Intelligence Automation 98

IBM Journey to AI blog

FEBRUARY 14, 2024

Clarify computer vision AI-powered computer vision enables image segmentation , which has a wide variety of use cases, including aiding diagnosis in medical imaging, automating locomotion for robotics and self-driving cars, identifying objects of interest in satellite images and photo tagging in social media.

Computer Vision 215

Computer Vision Automation Robotics AI 215

AWS Machine Learning Blog

OCTOBER 17, 2023

While YOLOv5 is responsible for recognizing and tagging cows in a single image, in reality, videos consist of multiple images (frames) that change continuously. Data-driven: For example, identify the genetic, physiological, and behavioral characteristics of lame cows to achieve optimal breeding and reproduction.

Computer Vision 96

Computer Vision Algorithm AI AI 96

Marek Rei

NOVEMBER 12, 2019

link] The paper describes a sequence tagging model for semantic role labeling. Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Jakarta, Trento, Depok. DeepLo 2018.

Machine Learning 52

Machine Learning NLP Neural Network BERT 52