Blogs - AI & Machine Learning

April 10, 2024

Generative AI in Testing

Generative Artificial Intelligence (AI) is currently a buzzword in the software industry. Professionals are exploring

January 18, 2024

Mix Reality Using Hololens 2

Microsoft’s HoloLens 2 leads the way in mixed reality technology, enabling revolutionary holographic experiences. This transformative headset is reshaping industries from healthcare to marketing by merging virtual and real worlds. With a wide field of view and precise tracking, HoloLens 2 brings future potential to diverse sectors through immersive, collaborative and productive applications.

January 9, 2024

Generative AI, Chatbots and Beyond: Enhancing Internal Business Operations in the Digital Age

Generative AI creates new data from existing datasets, enabling automation across business functions like sales, marketing, HR, and legal. It powers applications like proposal generation, predictive analytics, document creation, and chatbots. Building a conversational chatbot involves steps like selecting a model, training it on curated data, iterating for accuracy, choosing a platform, and extensively testing the interface.

December 12, 2023

Enhancing API Security with Artificial Intelligence: A Game Changer

The article emphasizes the critical role of Artificial Intelligence (AI) in enhancing API security. AI detects threats in real-time, predicts vulnerabilities, and responds adaptively, offering efficiency and proactive protection. Despite challenges like privacy and integration complexity, real-world applications in finance, healthcare, e-commerce, and government showcase AI’s effectiveness. eInfochips provides API security solutions, incorporating best practices and Secure SDLC methodology for comprehensive protection during product development.

September 18, 2023

From Pixels to Precision: The Impact of AI and ML on Medical Imaging

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.

September 7, 2023

Predictive AI & How It Is Used in Cybersecurity

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.

September 4, 2023

Semiconductor Companies Turn to AI to Design Future Chips

In 1965, Gordon Moore proposed Moore’s Law, which predicted that advances in processing will accelerate, shrink, and improve every two years. The desire for greater capabilities and higher performance is fueling innovation for the chip design business as we stand amid the digital revolution, which has fundamentally transformed the core notions of the electronics industry.

August 16, 2023

Typical Camera System for AI Powered Vision Solution

This blog explores the typical camera system for AI-powered vision solutions. It discusses Edge AI, stages of an Edge AI solution flow, camera subsystem components, and eInfochips’ expertise in custom camera solutions.

August 7, 2023

The Future of Power-Efficient Electric Motor Design: Artificial Intelligence or Humans

AI can accelerate the motor design process, analyze data efficiently, and identify potential issues, saving time and costs. However, relying solely on AI may hinder creativity and overlook unique solutions, limiting variation in motor designs. AI’s bias and insufficiency with biased training data may also pose challenges. The blog presents a real-world scenario where a manufacturer has the choice between traditional engineering and AI-based motor design.


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