Freelance Technology Writer

Saumitra Jagdale is a Backend Developer, Freelance Technical Author, Global AI Ambassador (SwissCognitive), Open-source Contributor in Python projects, Leader of Tensorflow Community India, and Passionate AI/ML Enthusiast.

Articles 1 - 20
Security

QuarkLink IoT Security Management Platform Enhances Macronix's ArmorFlash Ecosystem - Blog

January 11, 2022

IoT networks are prone to cyberattacks if not secured effectively. The QuarkLink IoT security management platform secures and enhances Macronix’s ArmorFlash Ecosystem with its most resilient and scalable IoT security approach.

Open Source

Top 5 Microcontroller Development Boards of 2021 - Blog

January 06, 2022

The microcontroller development board is the core component of an embedded or IoT application, thus it becomes significantly important to choose the board before designing the application. As there were many launches of development boards in 2021, it may be a difficult decision to choose the one suitable for your target application. 

IoT

AWS IoT TwinMaker Optimizes the Build of Digital Twins - Blog

December 21, 2021

Amazon Web Services recently announced its IoT TwinMaker that optimizes the development of digital twins, making the complex process much faster and easier. AWS IoT allows developers to construct and use digital twins of real-world systems to monitor and optimize operations more quickly and easily.

AI & Machine Learning

MLPerf Training Evaluates Execution Timings of the Deployed Machine Learning Models - Blog

December 20, 2021

Machine learning (ML) requires industry-standard performance benchmarks to aid in the creation and competitive assessment of the numerous ML-related software and hardware solutions.

Processing

Simplifying Design Verification for Increasingly Custom RISC-V Processors - Story

December 10, 2021

RISC-V is known as an open-standard instruction set architecture (ISA) whose base instructions have been frozen to minimize complexity. But more recently it has added a wide range of custom extensions and enhancements that are making it increasingly popular amongst SoC designers building application-specific systems.

AI & Machine Learning

Edge Native AI for Flexibility in Developing and Designing Smart Systems - Blog

December 09, 2021

The progress in the field of OEM products comes at the cost of increasing complexities in the design and architecture of the systems. As the most trending feature contributing to this type of progress, Edge AI brings out the issue of compatible platforms for such dynamic development and designing. 

Open Source

CaribouLite Raspberry Pi HAT, A Low-Cost Software Defined Radio - Blog

December 06, 2021

Radio communication is becoming extremely important for safety and emergency communication systems during situations like natural disasters and terrorist attacks. Interoperability problems are faced by military and civil safety officials as different aid agencies have radios working in different frequency bands, waveforms, and protocols. Additionally, these radios used need to be low cost, small size, portable and require low power to operate.

Automotive

Algorithms for Intrusion Detection and Defense Systems Against Cyber Threats in Embedded Devices - Story

November 17, 2021

With the exponential rise in the popularity of embedded systems due to their compact size and efficient performance, the security of embedded systems has become a major concern.

Networking & 5G

Enhancing the Fiber Capacity Via Packet Multiplexing with Time-Sensitive Networking - Blog

November 08, 2021

With the development of 4G LTE networks along with the ramping up of 5G and Ethernet services, the industries are compelled to enhance the RAN transport and access architectures.

Industrial

Time-Sensitive Networking Integrates Information and Operational Technology - Blog

October 29, 2021

Overcoming the shortcomings of the current ethernet-based industrial networks, the CC-Link IE TSN, “Opens the Future of Connected Industries” by adding the advantages of Time-Sensitive Networking along with flexible implementation for various types of equipment.

IoT

Use Mesh Sensor Networks to Overcome Fidelity Issues in Condition Monitoring - Blog

October 25, 2021

Despite the precision in sensor technology, there is always a shortcoming associated with the performance of monitoring systems.

AI & Machine Learning

AI-Based Anomaly Detection Enhances Performance of Industrial Machinery - Blog

October 05, 2021

Apart from lengthy and expensive operational research, factory production can meet its optimal targets by thorough analysis and monitoring of the overall system. Additionally, production workflow is efficient when machinery works at its maximum efficiency without faulty intervals or anomalies.

Analog & Power

Going Energy Efficient with World's Lowest Powered Microcontroller - Blog

October 01, 2021

With developments in embedded technology, numerous high-efficiency MCUs have evolved. As the features and capabilities offered by various microcontrollers increase, their power requirements also increase. Therefore, to design energy-efficient and compact applications using embedded systems, the power consumption of microcontrollers has to be reduced. 

AI & Machine Learning

Voice Recognition Enhances the HMI functions for Hardware to Support Real-Time Contactless Control - Blog

September 28, 2021

Despite the efficiency of wireless design, the human-machine interface could be more advanced with the support of real-time and contactless features. Additionally, the current pandemic should make these contactless systems even more appropriate for operations and functioning. Voice recognition is one such attribute for building an ideal HMI system. 

Analog & Power

Unveiling Ultra-Low Power Operations in NXP's KL3x MCU Family - Blog

September 28, 2021

With IoT and embedded system technology gaining momentum with time, it is necessary for the microcontrollers and other devices to be energy efficient and consume low power. This ensures the optimum performance of the applications and effectively aids in reducing the size of the end products, as it would require smaller powering units. Hence, low power MCUs like the KL3x series prove to be of immense help in developing sophisticated applications with high precision.   

AI & Machine Learning

Enhancing AI Inference through Sparsity Support and Transformer Optimization for Minimizing Latency - Blog

September 16, 2021

AI models have become more complicated in recent times due to the escalating demand for real-time AI applications in various industries. This necessitates the deployment of high-performing, cutting-edge inference systems in an optimal way. TensorRT's latest version addresses these issues by bringing in additional capabilities to provide more enhanced and responsive conversational AI applications to their customers. 

Storage

Compute Express Link(CXL) Interconnects Memory and GPUs for Yielding High Performance - Blog

August 31, 2021

With advancements in cloud computing technology, the architectural memory arrangement of data centers has evolved significantly. To enhance the compute capacity and extensive data processing, there is a need to integrate accelerators that excel at processing specific workloads. Although these devices already connect over PCI Express, the optimization can further improve with the compute express link as it allows heterogeneous processing with various system components.

Open Source

CMSIS 5.8.0 Optimizes the Neural Networks and Signal Processing for Machine Learning Applications - Blog

August 17, 2021

Interfacing compatibility determines the scope of applications for hardware devices and peripherals. CMSIS is one such interfacing standard that allows the integration of software entities from multiple vendors. The recent release of Keil’s MDK-ARM 5.35 highlights the specific update of CMSIS from 5.7.0 to 5.8.0 which is the major component of the development kit.

AI & Machine Learning

Eta Compute’s Low-Power Architecture Offers Long-Lasting AI Vision Workloads on a Single Battery - Blog

August 12, 2021

Designing low-power architectures with intensive computational capacities decides the feasibility of machine learning applications. It comes with the challenge of accommodating high processing power and a more extended battery without compromising the compact form factor. So, Eta Compute’s design technology supports developers with limitless application options while consuming minimal power along with the complete assistance of the Edge Impulse machine learning development platform.

Processing

Bringing Down the Duration of Hardware Design Life Cycle for Compact High Performing Architecture - Blog

August 03, 2021

Hardware needs to be compact for ASICs (Application Specific Integrated Chips) with complex architecture. Alongside, the demand for quick and energy efficient functionalities have shaped the circuit design conventions over time. Sondrel's architecture and design have reduced hardware design life cycles, thus lowering cost and time for deployment. It also accommodates the risk to bespoke technology requirements, ensuring the chip expectations are met from the commercial and technical point of view.

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