Artificial Intelligence in Urban Management

AI in urban management is becoming possible with well-trained AI system and applications to gather the various details while developing such urban cities. To train the AI models used in urban management a huge quality of training data sets required for machine learning. Cogito provides, the wide ranging image annotation service to annotate the object of interest in the images and making it recognizable to model.     

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How To Use Machine Learning and AI in Inventory Management?

AI in inventory management helping logistic supply chain and warehousing companies to manage the inventory through fully automation system making the whole process fast and more efficient. With training data sets robots and automated machines can be created to develop such AI models. Cogito provides the high quality training data for AI models used in inventory management.

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How is AI Changing Fashion Design or Helping a Clothing Designer?

AI in fashion is playing a crucial role in changing the designs as per the new trend in the market, while keeping in the mind about the current scenario and future prospects. Actually, this technology is equipped with machine learning to understand the historical patterns and buying habits of the customers, and changing the style of fashion with the time being. 

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How AI Camera Used in Fever Detection to Control Coronavirus Spread?

Amid COVID-19 spread worldwide, tech companies trying to utilize the power of artificial intelligence (AI) to control this disease. Detecting the body temperature through AI-powered devices is one of them, helping to detect the people having high temperature (possibly fever), which is one of the symptoms of coronavirus infection.

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How AI is Used in Automotive Industry: Application of AI in Automobile

AI in automobile or automotive industry is playing a crucial role in producing the vehicles with automated assembly lines or integrate the machine learning for developing the autonomous vehicles. There is huge potential in AI to provide the automated solution to automotive sector with interesting results making the automobile sector operate with better efficiency and produce the best vehicles.

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What Does A Machine Learning Engineer Do: Role & Duties

Machine learning engineer do one of the toughest job to create a ML or AI-based model that can work properly with best performance. Practically a machine learning engineer’s job is close to data scientist, as both need huge amount of data and skills to interpret and analyze the data sets for model development.

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What are the Applications of Artificial Intelligence?

Artificial Intelligence (AI) is brining a drastic changes in technological fields, where it can be implemented to automate the system for more efficiency and performance. AI is now getting used in multiple fields from simply your mobile phone to diagnosing the diseases providing a high-performance and accurate system work with efficiency.

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ADAS Annotation and Data Labeling Services for Computer Vision

Cogito caters ADAS annotation and data labeling services to train the machines through computer vision. It is annotating the images for objects recognition of street and facial recognition of drivers by AI-enabled system to alert drivers for safe driving. Using the various types of image annotation technique to make the objects recognizable with best level of accuracy to take decision timely.

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How to Find Best Image Annotation Company in India?

Image annotation is becoming the need of AI industry to train the machines with large volume of visual data sets. It is a kind of object lebelling in images making recognizable for computer vision that helps machine learning algorithms to understand the similar objects. And there are various types of image annotation techniques applied while doing this job.

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What are the Future Prospects and Applications of Deep Learning?

Deep learning, part of machine learning that helps machines to understand and utilize the big data for better insights about the particular patterns for developing the AI-based models. Actually, deep learning is kind of more complex learning process for machines to learn the neuro network-based patterns and help computer vision to provide the more accurate results.

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