Technology has always been present in agriculture, one of the sectors that is at the forefront of research and innovation. Its development to date has gone hand in hand with advances in fields as diverse as molecular genetics, biochemistry or materials engineering, and now automation, already integrated into many production processes and crop monitoring, has brought it a step further by bringing intelligent robots directly to farms to help farmers in their daily work. "At MiFood Robot we have developed a harvesting robot prototype with all kinds of customizable functions. MiFood has a robotic arm with a gripper with which different products can be harvested, like strawberries, grapes, apples or oranges," explains Rubén Miranda, CEO of this technology company. "Its 3D vision module identifies each fruit. It then uses its artificial intelligence system to compare these in real-time with a database provided by the producers themselves of fruit images with the desired color, ripeness or size characteristics, and which can be specific for each customer."

From speed RADAR guns to high tech riot gear, the role of technology in policing is always evolving. Police departments around the world are always looking for new technologies to help them monitor and protect their communities. One of the areas where police departments always need as much help as possible is in monitoring. Police can't prevent crimes or intervene if they don't know that they're happening, but watching the community is time-intensive work – as much as they may try, they can't be everywhere at once. Two of the most significant advances in this area in recent years has been the wide implementation of CCTV cameras and, more recently, facial recognition software.

There are now some 120,000 warehouses globally, and another 50,000 are likely to be added before 2025. Over the next few years, more robots will be deployed into these warehouses--the logistics market--than in all other application categories combined, including farming, medicine, and home use. Just as the 1960s saw the mechanization of industry, with an accompanying boom in productivity and prosperity, the 2020s will be the dawn of the robotification of services. Industrial robots came into use in 1961 when General Motors (G.M.) installed a simple robotic arm on its New Jersey production line. The machine had been invented by Unimation, a company founded by the father of robotics, Joseph Engelberger--a self-professed Isaac Asimov enthusiast.

GIS and Drone Technologies are both powerful tools for assisting people in analyzing the world we inhabit. Whether you are someone with GIS skills looking to add drones to your toolbelt, or a drone pilot who wants to level up their deliverable products, you are in the right place. Both these skills require very similar mindsets, such as an attention to detail, focus and accuracy. If you can do one, you can do the other, so why not do both! This course is best for those who have some familiarity with either GIS concepts or drone mapping, or those that are comfortable in learning new software packages.

Since the early days of computers, people have aspired to build intelligent programs capable of seeing and understanding the world as humans do. To achieve this, computer scientists attempted to…

The total quantity of carbon dioxide (CO2) and other greenhouse gases (GHG) emitted in the lifecycle of the product or service, or in any specific financial year, is referred to as a carbon footprint. The measurement is commonly represented in kilos of CO2 equivalents, accounting for the impacts of various greenhouse gases on global warming. A carbon credit is a marketable permit or certification that entitles the holder to emit one tonne of carbon dioxide or the equivalent of some other greenhouse gas -- it is effectively a carbon offset for greenhouse gas producers. The primary purpose of carbon credits is to help reduce greenhouse gas emissions from industrial activity in order to mitigate the impacts of global warming. They can also sell excess carbon credits.

The central government on Friday adopted a bill to revise the road traffic law that would legalize delivery robots and driverless cars under certain conditions. The bill, to be introduced during the current session of parliament, also calls for the creation of a permit system for businesses providing such services. Also planned are new rules on the use of electric kick scooters. If the bill covering what the government calls Level 4 autonomy is enacted, the new rules will come into force within a year for driverless cars and delivery robots and within two years for electric scooters. By the end of March 2023, the government aims to realize mobility services using unmanned autonomous vehicles as a means of transportation for elderly people in depopulated areas.

We present a simple and effective approach for posterior uncertainty quantification in deep operator networks (DeepONets); an emerging paradigm for supervised learning in function spaces. We adopt a frequentist approach based on randomized prior ensembles, and put forth an efficient vectorized implementation for fast parallel inference on accelerated hardware. Through a collection of representative examples in computational mechanics and climate modeling, we show that the merits of the proposed approach are fourfold. (1) It can provide more robust and accurate predictions when compared against deterministic DeepONets. (2) It shows great capability in providing reliable uncertainty estimates on scarce data-sets with multi-scale function pairs. (3) It can effectively detect out-of-distribution and adversarial examples. (4) It can seamlessly quantify uncertainty due to model bias, as well as noise corruption in the data. Finally, we provide an optimized JAX library called {\em UQDeepONet} that can accommodate large model architectures, large ensemble sizes, as well as large data-sets with excellent parallel performance on accelerated hardware, thereby enabling uncertainty quantification for DeepONets in realistic large-scale applications.

While artificial intelligence can't simply flag a video or audio piece as inauthentic, it does have a few tricks up its sleeve for identifying …

Internet and technology make it easier for businesses to develop and reach a larger range of their target market. The internet has truly become the backbone of business in the 21st century and is almost impossible to ignore. Although, as technology develops, so do cyber risks such as AI cyber-attacks. Cyber-attacks are getting more innovative and very common in the business world, from phishing emails, ransomware attacks and now deepfake AI cyber-attacks. Artificial intelligence(AI) is now programmed in almost all devices, with functions like advancing camera quality, face recognition and virtual assistants.