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).

New contactless touchscreen technology developed by Jaguar Land Rover and the University of Cambridge will help keep drivers' eyes on the road and reduce the spread of bacteria and virusesin a post COVID-19 world.

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.

How layers of 2D materials are stacked can have a profound effect on the properties. The twist angles can be the only difference between relatively mundane performance and the capacity to behave as a superconductor.

Following an extensive two-year flight test programme, Airbus has successfully concluded its Autonomous Taxi, Take-Off and Landing (ATTOL) project. In completing this project, Airbus has achieved autonomous taxiing, take-off and landing of a commercial aircraft through fully automatic vision-based flight tests using on-board image recognition technology - a world-first in aviation.

Humans have a hard time identifying individual birds just by looking at the patterns on their plumage. An international study involving scientists has shown how computers can learn to differentiate individual birds of a same species.

Recently founded, the New York-based company AI & Medicine is an expert in the field of AI-Powered drug discovery, personalized healthcare and various medical applications.

Citrine Informatics has launched their materials informatics platform

Blood-feeding livestock mites can be detected with wearable sensor technology nicknamed "Fitbits for chickens."

Artificial intelligence for dementia detection: Technology breakdown, performance analysis and commercial landscape

A group of doctors and data scientists is calling on hospitals to create clinical departments devoted to artificial intelligence to harness the power of the technology to transform patient care.

Part Two Edge or tiny AI in image analysis: algorithmic approaches to finding the right accuracy-compute power balance

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.

Proteins are essential to the life of cells, carrying out complex tasks and catalyzing chemical reactions. Scientists and engineers have long sought to harness this power by designing artificial proteins that can perform new tasks, like treat disease, capture carbon, or harvest energy, but many of the processes designed to create such proteins are slow and complex, with a high failure rate.

Researchers have built an intelligent mobile robot scientist that can work 24-7, carrying out experiments by itself. The robot scientist, the first of its kind, makes its own decisions about which chemistry experiments to perform next, and has already discovered a new catalyst.

The 3D lidar story is becoming ever more interesting. The focus at first was on autonomous driving, but, given the timelines and the potential of the technology, it is now migrating into consumer, ADAS, security, autonomous robots, and beyond.

Part One The capabilities of AI have dramatically grown. The search for higher accuracy however has led to huge algorithms which demand massive computational power and introduce significant latency and power consumptions. These challenges add to the cost of implementation.

Large-scale oceanic phenomena are complicated and often involve many natural processes. Tropical instability wave is one of these phenomena.