Senior Marketing Executive

Softnautics

Srinivas is a Marketing professional at Softnautics working on techno-commercial write-ups, marketing research and trend analysis. He is a marketing enthusiast with 6+ years of experience belonging to diversified industries. He loves to travel and is fond of adventures.

Articles 1 - 9
AI & Machine Learning

The Importance of a Machine Learning Pipeline - Blog

March 30, 2023

A Machine Learning (ML) pipeline is used to assist in the automation of machine learning processes. They work by allowing a sequence of data to be transformed and correlated in a model that can be tested and evaluated to achieve a positive or negative outcome.

IoT

Emerging Trends and Challenges in Embedded System Design - Blog

February 01, 2023

The outcomes of embedded systems are application-oriented and advance development areas in focus, embedded systems and devices will gain more popularity in the coming future while considering various business sectors and their applications.

AI & Machine Learning

The Benefits of Selecting FPGAs and GPUs for Use in AI Based Applications - Blog

January 31, 2023

Even as software algorithms that mimic human thoughts and ideas are the foundation of AI, hardware is also an important component this is where the role of Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units play a vital role. 

AI & Machine Learning

Artificial Intelligence and Machine Learning Based Image Processing - Blog

December 16, 2022

The popularity of computer vision is growing like never before and its application is spanning across industries from consumer electronics and retail to manufacturing. With a variety of use cases including visualization, pattern recognition, segmentation, image information extraction, and classification, image processing can be done in two ways:

  • Analog image processing of physical photographs, printouts, and other hard copies of images
  • Digital image processing using computer algorithms to manipulate digital images
AI & Machine Learning

Next-Generation Voice Assisted Solutions - Blog

October 12, 2022

In recent years, voice technology has steadily increased in popularity, from voice control in vehicles to smart speakers in homes. A voice assistant solution is built using machine learning, NLP (Natural Language Processing), and voice recognition technology. These solutions merge cloud computing to combine AI and can converse with the end users in natural language.

AI & Machine Learning

The Benefits and Techniques of Machine Learning in Embedded Systems - Story

July 20, 2022

Owing to revolutionary developments in computer architecture and ground-breaking advances in AI & machine learning applications, embedded systems technology is going through a transformational period.

Automotive

How Automotive HMI Solutions Enhance the In-Vehicle Experience - Blog

April 07, 2022

With new-age technologies, customers now have higher expectations from their vehicles than ever before. Many are more concerned with in-car interfaces than with aesthetics or engine power. The majority of drivers desire a vehicle that makes their lives easier and supports their favorite smartphone apps.

Industrial

The Role of Machine Vision in Manufacturing - Story

April 01, 2022

Machine Vision has exploded in popularity in recent years, particularly in the manufacturing industry. Companies can profit from the technology's enhanced flexibility, decreased product faults, and improved overall production quality. The ability of a machine to acquire images, evaluate them, interpret (the situation), and then respond appropriately is known as Machine Vision.

AI & Machine Learning

Applications and Benefits of Edge AI - Blog

March 08, 2022

Edge AI is the combination of edge computing and edge intelligence to run machine learning tasks directly on end devices. It generally consists of an in-built microprocessor and sensors, while the data processing task is completed locally and stored at the edge node end. The implementation of machine learning models in edge AI will decrease the latency rate and improve the network bandwidth.

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