Regularization: Make your Machine Learning Algorithms “Learn”, not “Memorize”

Within the production pipeline, we want our machine learning applications to perform well on unseen data. It doesn’t really matter how well an ML application performs on training data if it cannot deliver accurate results on test data. To achieve this purpose, we use regularization techniques to moderate learning so that a model can learn instead of memorizing training data. Read More

EPoS Systems in 2019: 4 Critical Features you Must Look for

EPoS (Electronic Point of Sale) systems are an indispensable tool for retailers. The modern avatars of this system do a lot more than just scanning bar-codes, billing and accepting payments. With next-gen systems that support contact-less payment and RFID technology, retail organizations can deliver an improved customer experience while improving the overall efficiency of the employees. Read More

5 Deep Learning Trends that will Rule 2019

A Deep learning, powered by deep neural networks, can deliver significant benefits to organizations on their transformation journey. Trends related to transfer learning, vocal user interface, ONNX architecture, machine comprehension and edge intelligence will make deep learning more attractive to businesses in the near future. There is no doubt that we will continue to see a growth in the application of deep learning methods in 2019 and beyond. Read More

Why CTOs, CIOs, CAOs and Engineering VPs need to look for OT-IT Convergence

IT-OT convergence can deliver a number of benefits, including improved customer experience and better operational efficiency. In order to achieve this convergence, a number of challenges need to be overcome. Most of these challenges arise from the siloed functioning of traditional IT and OT departments in most industries. Organizations that are able to bridge the gap between the two will have a major competitive advantage. Read More

FAQs on Automotive IoT

What is Automotive IoT? –The term ‘automotive IoT’ refers to embedding IoT technologies into automotive systems to create new applications and solutions which can make vehicles smarter and more intelligent, facilitating safe, efficient and comfortable driving.

What are the key applications of IoT in Automotive Systems? – IoT technologies are used in the automotive sector to create innovative and advanced solutions, including  connected car solutions, Advanced Driver-Assistance Systems (ADAS), in-vehicle infotainment systems, navigation & telematics solutions, predictive maintenance solutions, Vehicle-to-Vehicle (V2V) applications, Vehicle to Infrastructure (V2I) applications, and Vehicle to Everything (V2X) communication applications. Read More

Improving Driver Safety using ADAS – Components and Features

ADAS technologies have the potential to improve the driving experience by making it safer and more comfortable. Sensors, processors, actuators, mapping systems and various software systems come together to make this possible. As all of these components improve and work more effectively with each other, ADAS has the potential to revolutionize the way the world drives. Read More

How Augmented Reality is going to change everything for Retailers

In our modern lives, we have encountered at least one augmented reality application, may it be through Snapchat filters, games like PokemonGo, or a preview at a shopping mall. Talking about augmented reality in malls and stores, the possible applications are endless and the potential benefits it can bring to the retail industry is beyond our imagination. This blog will discuss how augmented reality is going to affect all the facets of the retail sector. Read More

Planning to Develop Wearable Applications using Qualcomm Snapdragon? Read this First !

With advanced features and latest technologies, wearable user base is spreading across a variety of applications, including consumer fitness, gaming, industrial automation, health monitoring, and Augmented/Virtual reality. The current wearable application trends have also impacted the IoT, big data analytics, and cloud advancements. Read More

Crosstalk Analysis and its Impact on Timing in 7nm Technology

As we dive deep into lower technology nodes in IC (integrated circuit) design, we always see a downscale of design compared to previous technology nodes. With every shrinkage in technology nodes, it tends to downscale multiple things like the width of metal wires along with transistor size. Therefore, RC (Resistive-capacitive) delays are much more severe in 7nm technology nodes. 7nm designs are denser in terms of routing resources than previous nodes. Hence, Crosstalk Delay and Crosstalk Noise play a significant role when we refer to timing in 7nm. Read More

The Evolution of QA and Testing in the Digital Transformation Spotlight

The rising importance of Digital Transformation has impacted various facets of the software development life cycle. As the focus on rapid delivery and customer satisfaction increases, it is more important than ever to ship flawless products and applications faster. QA/testing has evolved over the last few years to meet the demand and challenges arising from this expectation. Read More

what to expect from digital transformation in the manufacturing sector

With the advent of digital transformation, manufacturers are adopting smart technologies to move from mass production to customized production. Digital transformation or moving towards industry 4.0 in manufacturing sector can lead to enhanced production cycles, increased customization, a focus on reinforced products and better access to information for employees. Read More