An Earmark Approach
- NATURAL LANGUAGE PROCESSING
- COMPUTER VISION
- DEEP LEARNING
NLP
NLP is a branch of artificial intelligence that helps computers understand, interpret, and manipulate human language. Our NLP software draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding.
OUR ARENA IN NLP
MESSENGER BOT
SMART SEARCH
CUSTOMER SERVICE AUTOMATION
SURVEY ANALYTICS
SOCIAL MEDIA MONITORING
COMPUTER VISION
A significant part of artificial intelligence deals with planning or deliberation for the system. Our AI skilled team process typically input data provided by a computer vision system, developing high-level information.
OUR ARENA IN COMPUTER VISION
AUTONOMOUS VEHICLE
ANALYZE AGRICULTURAL HAZARD
PREDICTIVE MANUFACTURE
FACIAL RECOGNITION TECHNOLOGY
OPTICAL CHARACTER RECOGNITION
DEEP LEARNING
It is a subfield of machine learning concerned with algorithms. A vast Neural network, Self-Taught Learning, and Unsupervised Feature Learning serve you the best solution and technology ever.
OUR SOFTWARE SERVES YOUR PURPOSES FOR
AUTOMATED TEXT GENERATOR
SENTIMENT ANALYSIS
IMAGE AUTOMATION, SEGMENTATION
LANGUAGE RECOGNITION
ACCURACY
SUCCESS-RATE
LARGEST AMOUNT OF DATA
COST-EFFECTIVE
Industry Trends
Automated Cars
Object detection for self-driving cars. Before we get into building the various components of the object detection model, we will perform some pre-processing steps. The pre-processing steps involve resizing the images
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Soil Management
For specialists involved in agriculture, the soil is a heterogeneous natural resource, with complex processes and vague mechanisms. Its temperature alone can give insights into
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Water Management
Water management in agriculture impacts hydrological, climatological, and agronomical balance. So far, the most advanced ML-based applications are connected with the estimation of daily,
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Farmer’s Friend
This is an application that can be called a bonus: imagine a farmer sitting late at night and trying to figure out the next steps in the management of his crops. Whether he could sell more now to a local producer
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