Electronics Trends 2024

Artificial Intelligence and Machine Learning

The integration of artificial intelligence (AI) and machine learning (ML) into electronic devices is on the rise. With the goal of enhancing functionality, automation and decision-making, electronics engineers are focusing on creating hardware tailored for AI and ML algorithms, such as dedicated accelerators and neuromorphic computing.

AI-integrated Processors and Chips

The integration of AI into processors is reshaping future hardware, infusing not just raw power but intelligence. Devices, from smartphones to self-driving cars, swiftly learn and adapt. This transformative convergence blurs human-machine boundaries, promising a future where intelligent hardware enhances daily life.

Robotics and Automation

The pivotal role of electronics engineering in robotics and automated systems development cannot be overstated. This encompasses the design of sensors, control systems and the incorporation of AI for the creation of smarter and autonomous robots. The ongoing progress and implementation of advanced robotics in sectors such as manufacturing and healthcare are evident. This evolution involves the integration of collaborative robots (cobots) working in tandem with humans, as well as robots equipped with heightened sensory and decision-making capabilities. Examples include:

• Agricultural cobots: employing AI for efficient harvesting and pollination, these robots enhance energy efficiency and yield in comparison to traditional farming methods.

• Healthcare cobots: equipped for medical assistance, surgery, rehabilitation, diagnostics and patient care, these robots enhance efficiency, precision and patient outcomes.

• Robot phlebotomists: these cobots use automation for blood drawing in diagnostic testing, blood donation, and medical treatment.

• Production line cobots: used in automated manufacturing processes, these cobots handle assembly, welding, picking and placing, painting, packaging, material handling and quality control, contributing to increased efficiency and reduced labor.

Autonomous Device and Smart Automotive Systems

In 2024, the increasing prevalence of autonomous devices is set to emerge as a prominent tech trend. Ranging from drones facilitating package deliveries to self-driving cars, these devices are significantly transforming logistics and personal transportation. Notably, they are evolving to be more intelligent and dependable. As their integration into our daily lives deepens, it is anticipated that this trend will prompt the establishment of new regulations and ethical considerations. Furthermore, the trajectory of this technology in 2024 has the potential to push the limits of both machine learning and robotics.