In today’s era of enhanced connectivity, mobile applications have evolved into an indispensable facet of our daily lives. Through inventive and nimble applications, organizations are always looking for new ways to connect with and serve their target audiences.
When you step inside your electric car and switch it on, the cluster displays the distance you can go. You choose your pit brakes based on this range to reach your goal, but have you ever wondered how your car determines how far it can go?
The term “electronics manufacturing services” (EMS) refers to both the whole industry and a specific subcontractor or company. It is common to use the terms “EMS” and “contract manufacturing (CM)” interchangeably. Consumer demands for electronic goods are constantly evolving, which encourages the EMS industry’s quick growth. Electronic producers must be adaptable and able to keep up with the pace of fast change if they are to better serve their clients and grow their market share.
In recent years, Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the field of medical imaging, bringing significant advancements in diagnostics, image interpretation, and patient care. Through the application of advanced algorithms and computational models, AI and ML have enabled precision medicine by automating tasks that were once solely reliant on human expertise.
In recent years, technological advancements have revolutionized the world of microcontrollers, enabling them to perform increasingly complex tasks. One groundbreaking innovation in this field is the advent of Nailtop microcontrollers with machine learning capabilities. These miniature devices have emerged as powerful tools for implementing machine learning algorithms in resource-constrained environments. In this blog post, we will explore the exciting potential of Nailtop microcontrollers and delve into their unique features and applications.
The loss of trust throughout the entire stakeholder ecosystem, including customers, suppliers, and workers, is a major concern for many organizations. A lack of data trust can lead to poor decision-making, subpar customer experiences, regulatory fines for non-compliance, and more. In the competitive landscape of today, if a company aims to thrive, the elimination of unreliable data cannot be an afterthought.
Individuals and businesses have undoubtedly reaped numerous undeniable benefits from the advancement and evolution of technology. However, it has come with a significant disadvantage: an increase in cybercrime, cyberattacks, and malware infections, facilitated by the ever-increasing attack surface.The expansion of the network perimeter poses a significant problem, particularly for high-level business operations that need to consistently monitor hundreds of layers of code and security events to guard against intrusions. This task surpasses human capabilities and therefore requires a more efficient solution.
eInfochips, an Arrow Electronics company, is a leading provider of digital transformation and product engineering services. eInfochips accelerates time to market for its customers with its expertise in IoT, AI/ML, security, sensors, silicon, wireless, cloud, and power. eInfochips has been recognized as a leader in Engineering R&D services by many top analysts and industry bodies, including Gartner, Zinnov, ISG, IDC, NASSCOM and others.
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