The government has launched a series of free AI training courses designed to help people learn how to use the technology at work. The online lessons give advice on things such as how to prompt chatbots or use them to assist with admin tasks. Many of the courses are free, with others subsidised, and the government aims to reach 10 million workers by 2030 - calling it the most ambitious training scheme since the launch of the Open University in 1971. But the Institute for Public Policy Research (IPPR) has warned workers will need to know more than just how to prompt a chatbot as the workforce adapts to the growth of AI. Skills for the age of AI can't be reduced to short technical courses alone, said Roa Powell, senior research fellow at the IPPR.

TL;DR: A lifetime license for Microsoft Visual Studio Pro plus coding training courses is now only 55.97. Learning to code is one of the most practical ways to open new career paths, and having the right tools and training from the start can make the process a lot smoother. If you want to find the tools and the training to help you use them all in one place, check out this bundle, which combines Microsoft Visual Studio Professional with a set of beginner-friendly programming courses. Visual Studio Professional is a full-featured development environment used by professionals around the world. As Microsoft's first 64-bit IDE, it can handle complex projects with improved performance and memory management.

AI is supposed to save time, boost your output, and even help kickstart your creativity. But if you find yourself constantly rewriting prompts and begging the AI to edit bad responses, there's a hard truth you have to accept: it's not ChatGPT. But getting your skills up to snuff is simple if you enroll in our best-selling e-degree program. It doesn't matter if you're a complete beginner, an aspiring master, or somewhere in between; you'll learn how to use ChatGPT like an expert for just 19.97 (reg. Don't worry about fitting time into your schedule because these courses are completely self-paced.

AI should be saving you time, boosting your productivity, and even helping you think more creatively. But if you're stuck rewriting prompts, dealing with bad responses, or wondering why it feels so basic, here's a hard truth: it's not ChatGPT … it's you. But getting your skills up to snuff is simple if you enroll in our best-selling e-degree program. It doesn't matter if you're a complete beginner, an aspiring master, or somewhere in between, you'll learn how to use ChatGPT like an expert for just 19.97 (reg. Don't worry about fitting time into your schedule--these courses are completely self-paced.

We present a theoretical analysis of GPU memory consumption during the training of DeepSeek models such as DeepSeek-v2 and DeepSeek-v3. Our primary objective is to clarify the device-level memory requirements associated with various distributed training configurations. Specifically, we examine critical factors influencing memory usage, including micro-batch size, activation recomputation policies, 3D parallelism, and ZeRO optimizations. It is important to emphasize that the training policies discussed in this report are not representative of DeepSeek's official configurations. Instead, they are explored to provide a deeper understanding of memory dynamics in training of large-scale mixture-of-experts model.

This study examines the impact of lifelong learning on the professional lives of employed and unemployed individuals. Lifelong learning is a crucial factor in securing employment or enhancing one's existing career prospects. To achieve this objective, this study proposes the implementation of a multi-criteria decision support system for the evaluation of training courses in accordance with their capacity to enhance the employability of the students. The methodology is delineated in four stages. Firstly, a `working life curve' was defined to provide a quantitative description of an individual's working life. Secondly, an analysis based on K-medoids clustering defined a control group for each individual for comparison. Thirdly, the performance of a course according to each of the four predefined criteria was calculated using a t-test to determine the mean performance value of those who took the course. Ultimately, the unweighted TOPSIS method was used to evaluate the efficacy of the various training courses in relation to the four criteria. This approach effectively addresses the challenge of using extensive datasets within a system while facilitating the application of a multi-criteria unweighted TOPSIS method. The results of the multi-criteria TOPSIS method indicated that training courses related to the professional fields of administration and management, hostel and tourism and community and sociocultural services have positive impact on employability and improving the working conditions of citizens. However, courses that demonstrate the greatest effectiveness in ranking are the least demanded by citizens. The results will help policymakers evaluate the effectiveness of each training course offered by the regional government.

"I lost count after 100," the 44-year-old, camouflage-clad instructor told Al Jazeera while observing three cadets of his drone flight school pilot their buzzing aircraft over a withering meadow just outside Kyiv. Sitting at a plastic table littered with tools and batteries, the cadets with their joysticks and goggle cameras looked geeky and harmless. During their Saturday morning drill, each of them took turns flying a drone whose camera allows first-person views of the flight. Time after time after time, the cadets learned how to manoeuvre their drones by flying them through two loops stuck into the wet ground. The drones often fell with a whiz after touching a loop or a bush, losing a red plastic propeller or a leg that had to be found in the wet grass and reattached.

This study introduces a shared-control approach for collision avoidance in a self-balancing riding ballbot, called PURE, marked by its dynamic stability, omnidirectional movement, and hands-free interface. Integrated with a sensor array and a novel Passive Artificial Potential Field (PAPF) method, PURE provides intuitive navigation with deceleration assistance and haptic/audio feedback, effectively mitigating collision risks. This approach addresses the limitations of traditional APF methods, such as control oscillations and unnecessary speed reduction in challenging scenarios. A human-robot interaction experiment, with 20 manual wheelchair users and able-bodied individuals, was conducted to evaluate the performance of indoor navigation and obstacle avoidance with the proposed shared-control algorithm. Results indicated that shared-control significantly reduced collisions and cognitive load without affecting travel speed, offering intuitive and safe operation. These findings highlight the shared-control system's suitability for enhancing collision avoidance in self-balancing mobility devices, a relatively unexplored area in assistive mobility research.

Autonomous driving presents many challenges due to the large number of scenarios the autonomous vehicle (AV) may encounter. End-to-end deep learning models are comparatively simplistic models that can handle a broad set of scenarios. However, end-to-end models require large amounts of diverse data to perform well. This paper presents a novel deep neural network that performs image-to-steering path navigation that helps with the data problem by adding one-shot learning to the system. Presented with a previously unseen path, the vehicle can drive the path autonomously after being shown the path once and without model retraining. In fact, the full path is not needed and images of the road junctions is sufficient. In-vehicle testing and offline testing are used to verify the performance of the proposed navigation and to compare different candidate architectures.

From this course, you can learn Object-Oriented Programming from basics to advanced concepts. All code examples in the course are written in Java but that's doesn't mean you can't apply the knowledge from this course in other programming languages. You can easily use the knowledge from this course in any language if you want to build applications with the help of an object-oriented programming approach. There are a lot of other courses on this topic. So, why would you choose exactly this course?