You live in a house you designed and built yourself. You rely on the sun for power, heat your home with a woodstove, and farm your own fish and vegetables. This is the life of Marcin Jakubowski, the 53-year-old founder of Open Source Ecology, an open collaborative of engineers, producers, and builders developing what they call the Global Village Construction Set (GVCS). It's a set of 50 machines--everything from a tractor to an oven to a circuit maker--that are capable of building civilization from scratch and can be reconfigured however you see fit. It's all part of his ethos that life-changing technology should be available to all, not controlled by a select few. What it's like to find yourself in the middle of a conspiracy theory Last week, we held a subscribers-only Roundtables discussion exploring how to cope in this new age of conspiracy theories.

In Indiana, Exploration Acres found a way to keep the family farm alive. Exploration Acres has operated its award-winning corn maze for almost 20 years. Breakthroughs, discoveries, and DIY tips sent every weekday. The adage refers to a farmer's goal for their crops if they hope to make the October harvest. And while most Midwesterners are familiar with the axiom, Tim Fitzgerald knows the folksy refrain lost its relevancy decades ago.

Time-to-collision (TTC) is a widely used measure for predicting rear-end collisions, assuming constant speed and heading for both vehicles in the prediction horizon. However, this conventional formulation cannot detect sideswipe collisions. A two-dimensional extension, $\text{TTC}_{\text{2D}}$, has been proposed in the literature to address lateral interactions. However, this formulation assumes both vehicles have the same heading and that their headings remain unchanged during the manoeuvre, in addition to the constant speed and heading assumptions in the prediction horizon. Moreover, its use for articulated vehicles like a tractor-semitrailer remains unclear. This paper proposes three enhanced versions of $\text{TTC}_{\text{2D}}$ to overcome these limitations. The first incorporates the vehicle heading to account for directional differences. The standard assumption of constant speed and heading in the prediction horizon holds. The second adapts the formulation for articulated vehicles, and the third allows for constant acceleration, relaxing the constant speed assumption in the prediction horizon. All versions are evaluated in simulated cut-in scenarios, covering both sideswipe and rear-end collisions, using the CARLA simulation environment with a tractor-semitrailer model. Results show that the proposed versions predict sideswipe collisions with better accuracy compared to existing $\text{TTC}_{\text{2D}}$. They also detect rear-end collisions similar to the existing methods.

Breakthroughs, discoveries, and DIY tips sent every weekday. A Spanish startup called Voltrac says it is building a new breed of smart tractor--one that could sow fields by day and run weapons to soldiers by night. And while the Hot Wheels-looking, fully electric tractor is currently remote-controlled, Voltrac is working to make its next version fully autonomous. This "dual-use" tractor, first spotted by The Next Web, reportedly weighs 3.5 tons--roughly the size of a young African elephant--and has a carrying capacity of nearly 8,900 pounds. It can reach a top speed of around 24 miles per hour and operate for anywhere between 8 to 20 hours, thanks to two large 200kW batteries.

With an increase in the capabilities of generative language models, a growing interest in embodied AI has followed. This contribution introduces RAI - a framework for creating embodied Multi Agent Systems for robotics. The proposed framework implements tools for Agents' integration with robotic stacks, Large Language Models, and simulations. It provides out-of-the-box integration with state-of-the-art systems like ROS 2. It also comes with dedicated mechanisms for the embodiment of Agents. These mechanisms have been tested on a physical robot, Husarion ROSBot XL, which was coupled with its digital twin, for rapid prototyping. Furthermore, these mechanisms have been deployed in two simulations: (1) robot arm manipulator and (2) tractor controller. All of these deployments have been evaluated in terms of their control capabilities, effectiveness of embodiment, and perception ability. The proposed framework has been used successfully to build systems with multiple agents. It has demonstrated effectiveness in all the aforementioned tasks. It also enabled identifying and addressing the shortcomings of the generative models used for embodied AI.

It's been one future that sci-fi has promised since Star Trek. Microsoft now says that that future is arriving, at least within a small corner of Windows 11. Microsoft is promising that you'll be able to use natural language to change aspects of your Windows 11 Settings menu, and Windows will go out and make those changes for you using "agents," or small bits of AI that will work on your behalf -- at least if you own a Copilot PC with an AI-accelerating NPU onboard. Microsoft has begun to use its Surface devices as a showcase for its latest software, and the new 13-inch Surface Laptop and 12-inch Surface Pro are no exception. They'll serve as launch vehicles for Windows Recall, semantic search, and Click-to-Do, but also brand new features like agentic AI and relighting features for Photos, object editing and sticker generation for Paint, and more.

As Large language models have shown a remarkable a significant milestone in this area, Elhage et al. ability to learn and perform complex tasks through (2021) demonstrated the existence of induction in-context learning (ICL) (Brown et al., 2020; Touvron heads in Transformer LMs. These heads scan the et al., 2023b). In ICL, the model receives context for previous instances of the current token a demonstration context and a query question as using a prefix matching mechanism, which identifies a prompt for prediction. Unlike supervised learning, if and where a token has appeared before. ICL utilises the pretrained model's capabilities If a matching token is found, the head employs to recognise and replicate patterns within the a copying mechanism to increase the probability demonstration context, thereby enabling accurate of the subsequent token, facilitating exact or approximate predictions for the query without the use of gradient repetition of sequences and embodying updates.

Soon, however, the sight of tractor and farmer hard at work together, preparing the land and harvesting the crops, may be as out of date as the horse-drawn plough from the age of Robert Burns. For the age-old relationship of man, machine and land is set to be broken with the arrival in Scotland of the first fleet of robot tractors. Driverless'Agbot' tractors, due to arrive in Scotland within weeks, have been described as a gamechanger for agriculture, with the ability to work solo, 24-hours a day and to precise standards – raising the potential that they can help solve a crippling labour shortage crisis which has left farmers and growers scrabbling for staff. Because they are significantly lighter than a traditional tractor – and, as hybrid vehicles, use less diesel - they are also being touted as a greener option, offering a solution to soil compaction caused by huge vehicles which trample the land and which can lead to flooding, degradation and lower yields. While, by freeing up time that would normally be spent in the driver's seat, the vehicles – programmable several months in advance - allow farm staff to concentrate on other areas of increasingly diversified businesses, such as running farm shops, tourist accommodation and food production.

Tractors are commonly sold to farmers at agricultural fairs and announced in the trade press. But machinery makers are falling over themselves to get a slice of a much more unlikely advertising vehicle: the Farming Simulator video game. The developer, Giants Software, now receives hundreds of queries a year from manufacturers of equipment – from tractors and combine harvesters to trailers, balers and seed drills – about how they can feature in the game, where players create their own virtual farm. Farming Simulator is important enough that some firms even launch products at the same time as the game is updated. Search for news about Göweil, and you're just as likely to find details of the nine products in the Farming Simulator update pack released last week as coverage of its hay balers in the real world.

Traction parameters, that characterize the ground-wheel contact dynamics, are the central factor in the energy efficiency of vehicles. To optimize fuel consumption, reduce wear of tires, increase productivity etc., knowledge of current traction parameters is unavoidable. Unfortunately, these parameters are difficult to measure and require expensive force and torque sensors. An alternative way is to use system identification to determine them. In this work, we validate such a method in field experiments with a mobile robot. The method is based on an adaptive Kalman filter. We show how it estimates the traction parameters online, during the motion on the field, and compare them to their values determined via a 6-directional force-torque sensor installed for verification. Data of adhesion slip ratio curves is recorded and compared to curves from literature for additional validation of the method. The results can establish a foundation for a number of optimal traction methods.