evozon's Tech Newsletter #17

evozon's Tech Newsletter #17

Welcome to the tech side! Inside this newsletter, you’ll find a short dose of tech news. Bonus: You’ll gain expert insights from our software development professionals, such as coding tips, how-to guides, case studies, and other insights.

News Bytes:

  • The GitHub Copilot chat is being updated to give developers guidance on how to rephrase their prompts to get better responses.?
  • Google researchers have used a Large Language Model (LLM)-based tool to identify a zero-day vulnerability, demonstrating the growing role of AI in cybersecurity.?
  • Microsoft has updated Outlook with customisable AI-powered themes and new Copilot features. These updates help users be more productive by summarising emails, scheduling, and providing personalised suggestions, all aimed at simplifying inbox management.
  • IBM has launched Open AI agents to help developers manage issues on GitHub. These agents can help triage, resolve and prioritise tasks, reducing the time developers spend on manual issue management and improving workflow efficiency.
  • Microsoft has launched its first AI feature for Xbox: a chatbot. It will manage online support queries. This animated virtual assistant will handle online support requests, marking the beginning of a broader initiative by Microsoft to gradually introduce AI-driven features to Xbox.
  • A painting by an AI robot of Alan Turing, the eminent Second World War codebreaker, has been sold at auction for a record $1.3m (£1m).
  • Tabnine introduced a new code review agent that validates code according to each development team’s unique best practices and standards


How do we use AI in sewer inspection processes?

We have developed a project, a modernised digital platform that uses new technologies to revolutionise the way in which sewer inspections and sewer network management are carried out. It is a service-oriented solution that combines various modules and products for the inspection and maintenance of critical infrastructure: sewers, pipelines, tunnels and many others.

The solution enables AI-based evaluation of sewer inspection data in real time. Damage, such as cracks or burst pipes, can be quickly and reliably detected during sewer inspections. The level of inspection can be increased and early damage can be repaired at a manageable cost.

Data can be analysed via the web-based service platform on a PC or directly in the inspection vehicle. Data is secure, accurate and location-independent.

A key feature of the platform is its adaptability to different types of data, including video, which is dynamically displayed; the solution is able to extract data from videos and screenshots taken by the robots used in sewer inspection activities.

Read more about this solution on our blog.


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