Semiconductors, Data Centers & AI

This IDTechEx article assesses the technological status of image recognition AI in medical diagnostics today, detailing its current capabilities and value proposition. The article also identifies key technological issues currently limiting the uptake of image recognition AI and discusses opportunities for improvement.

What do you now purchase by the kilowatt hour? The new supercapacitors replacing batteries. The new IDTechEx report, "Supercapacitor Markets, Technology Roadmap, Opportunities 2021-2041", shows how supercapacitors have started to replace 10% of lithium-ion batteries and help kill lead-acid.

Supercapacitors Turn the Corner - Supercapacitors and their variants have recently seen customer commitment to multibillion-dollar opportunities that were previously beyond their reach. Consider large peak-shaving ones for hybrid cars where the Geely orders will soon be followed by others.

The new IDTechEx report, "Sensors 2021-2041" uniquely analyses the whole subject in the light of such seismic changes as the COVID-19 virus. The sensor business is in turmoil. The industries that spend most on sensors are changing as are the sensors.

In the past two decades, the car market has declined twice: first due to the 2008 economic crisis, and then due to falling sales in China. Most recently, the lockdowns implemented to combat the coronavirus pandemic, causing auto-production plants to close globally and a loss of consumer spending will lead to an unprecedented 23% decline in 2020 (IDTechEx prediction).

It is often imagined that agriculture is alien to new technologies. This is far from reality. In fact, agriculture has always been a pioneer in the adoption of new technologies, embracing motor/power, modified seed, and agrochemical technologies over many decades to boost productivity.

Nearly every sector is proposing the use of artificial intelligence. Materials science R&D is relatively late to this trend, and there are many industry-specific hurdles, but the opportunities are beginning to be realized and the potential impact is significant.

Deep learning has revolutionized image recognition and analysis, making unprecedented performance leaps between 2010-2014. These rapid advancements enabled the development of automated, accurate, accessible, and cost-effective medical diagnostics.

When considering the prospects of an emerging technology, it is easy to make broad-brush claims. For example, stating that 'greater numbers of connected devices, commonly referred to as the Internet of Things (IoT), will increase demand for printed sensors' seems an uncontroversial statement.

Radar uptake in vehicles will continue its increase, driven both by an increase in the number of adopting cars and by the radar content per vehicle. Both trends are driven by the increasing adoption of ADAS and will be sustained and strengthened in the longer term by the emergence of highly automated or autonomous driving.