The versatile robot will help create a virtual representation of the facilities.

In a first for the UK’s National Trust, Boston Dynamics’ robotic dog Spot is being used to survey two Cold War weapons testing sites located in Orford Ness, Suffolk.

This is according to a report by the *BBC* published on Thursday.

Spot, a versatile quadruped robot, has drawn a lot of interest as well as clients in recent years for its cutting-edge capabilities and its many potential uses.

## Efficiency and speed.

The machine has been designed to tackle a variety of tasks with efficiency and speed. Its lightweight and agile design allow it to navigate rough terrains, climb stairs, and function effectively both indoors and outdoors.

Spot can change its speed and posture to adjust to different environments, can execute dynamic movements and can trot, walk, and crawl.

“Here is how Generative AI can help in the Overall Generative AI in Software Development Life Cycle (SDLC) stages. Overall, we want to treat Generative AI as senior developer/architect with more accessibility.

- Requirements gathering: ChatGPT can significantly simplify the requirements gathering phase by building quick prototypes of complex applications. It also can minimize the risks of miscommunication in the process since the analyst and customer can align on the prototype before proceeding to the build phase.

- Design: DALL-E, another deep learning model developed by OpenAI to generate digital images from natural language descriptions, can contribute to the design of applications. In addition to providing user interface (UI) templates for common use cases, it also may eventually be deployed to ensure that the design of a given application meets regulatory criteria such as accessibility.

- Build: ChatGPT has the capability to generate code in different languages. It could be used to supplement developers by writing small components of code, thus enhancing the productivity of developers and software quality. It even can enable citizen developers to write code without the knowledge of programming language.

- Test: ChatGPT has a major role in the testing phase. It can be used to generate various test cases and to test the application just by giving prompts in natural language. It can be leveraged to fix any vulnerabilities that could be identified through processes such as Dynamic Code Analysis (DCA) and perform chaos testing to simulate worst-case scenarios to test the integrity of the application in a faster and cost-effective way.

- Maintenance: ChatGPT can significantly improve First Contact Resolution (FCR) by helping clients with basic queries. In the process, it ensures that issue resolution times are significantly reduced while also freeing up service personnel to focus their attention selectively on more complex cases.

https://medium.com/mlearning-ai/generative-ai-in-software-de…90e466eb91

Sony Semiconductor Solutions Corporation (SSS) has developed an energy harvesting module that uses electromagnetic wave noise energy to power IoT devices.

The new module leverages Sony’s tuner development process to generate power from electromagnetic wave noise from robots inside factories, monitors and lighting in offices, monitors and TVs in stores and homes, etc. in order to provide a stable power supply needed to run low-power IoT sensors and communications equipment.

The most exciting of all is the Apple Watch Series 9, which comes with Apple Silicon’s newly developed S9 chip. The chip boasts of a dual-core CPU with 5.6 billion transistors, 60% more than the previous S8 chip, which is in Apple’s Watch Series 8. The new watch has a four-core Neural Engine, which can carry out machine-learning tasks up to three times faster.

BAE Systems and QinetiQ have signed a framework agreement which will see both parties collaborate in the area of autonomous uncrewed air systems (UAS) and mission management systems.