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.

Tuesday 11 August - The electric car market is facing fresh, unforeseen challenges in 2020, and in the wake of the coronavirus pandemic, electric vehicles with a higher upfront price are a hard sell. How is the industry, and how are governments, responding? Are electric cars de-railed from their pre-coronavirus trajectory?

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.

Mitsubishi Heavy Industries Machine Tool Co Ltd, a part of Mitsubishi Heavy Industries Group, has developed new models of hobbing and gear shaping machines with highly accurate machining to manufacture precision reduction gears for robots.

Not all humans are morning people. Neither, according to a new study, are all sperm whales - at least when it comes to foraging for food.

Repeated activity wears on soft robotic actuators, but these machines' moving parts need to be reliable and easily fixed. Now a team of researchers has a biosynthetic polymer, patterned after squid ring teeth, that is self-healing and biodegradable, creating a material not only good for actuators, but also for hazmat suits and other applications where tiny holes could cause a danger.

Join Dr Peter Harrop in his latest presentation on Electric Vehicles in Construction, Agriculture & Mining, a $100 Billion Market Soon.

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

This is the 4th article in our series of articles focused on agricultural robotics. In this article we consider the trends towards autonomous robotic weeding enabled by AI based vision technology and navigational autonomy.

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.

There are considerable opportunities in aerospace and military applications of all types of supercapacitors - CSH, EDLC and BSH. In the USA, some of the largest orders are placed in this sector.

A robot travelling from point A to point B is more efficient if it understands that point A is the living room couch and point B is a refrigerator, even if it's in an unfamiliar place. That's the common-sense idea behind a "semantic" navigation system.

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.

The Hadrian X finished building the structural walls of its first display home in Dayton, Western Australia.

Passive components like resistors, inductors, and capacitors influence the flow of power but do not require an external power source to function. Capacitors are electrostatic components with capacity measured in farads. One farad stores one coulomb of electrical charge when applying one volt.

In the future, all materials scientists and chemists will have access to machine learning tools to enhance their R&D. Seamlessly integrating these underlying operations will not happen quickly, but overlooking the developments in materials informatics will lead to a loss of any competitive advantage.

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.