Growing a worldwide technical network to support the growth of AI, by promoting and challenging conventional approaches in businesses and society. It will encourage the AITN community to focus on the integration of AI technology with ourselves and the world we live in by understanding and expanding its limitations, evolving technologies into standalone decision-making entities and how exploring this impacts ethics.
- Challenging the development and understanding of AI, also realising the perceptions of human and technology interfacing, to boost confidence of this technology among businesses and society;
- Increasing skills and the knowledge base within the AI community (community building), including the diversity of people studying and working in AI;
- Understand and promote progression and AI techniques from Industries experience to date.
The AI Network is now live! Read the blog for more details.
Welcome from the Chair (Dr Elise Tapping)
Welcome to home of the Artificial Intelligence Technical Network.
We would like to invite you to bring forward and share any ideas to help us develop our network and contacts.
Key Topics for 2023 and 2024
We are currently working on providing webinars the first based on Demystifying Artificial Intelligence and will be working with the newly appointed Committee to communicate our Network's key focus areas for 2023 and 2024 very soon, so if you would like to input in this, please get in touch via our Community Manager, Joanne Longton
We are currently working on building collaborative relationships with academia.
See all AI content
Can AI help make strategic battlefield decisions? Join the discussion
Simplifying radio frequency design with machine learning and artificial intelligence
Radio Frequency (RF) design is often seen as mysterious, taking many years if not decades to master. Simulation tools and Electronic Design Automation (EDA) software ease this, but many years of experience is often required to produce reliable designs as RF circuitry complexity increases.
Machine Learning (ML) and artificial intelligence (AI) has recently leapt from the world of computer science to commercial applications like the image processing in your mobile phone and ChatGPT. The high data rate demands of 5G and 6G wireless communications systems requires highly novel and efficient circuit design, some of which is outside the capabilities of conventional EDA software. This webinar will show how ML and AI are being used for EDA to optimise RF circuit design for today and tomorrow.
RF and Microwave TN have organsied a webinar - for more details and to sign up, visit the Events listing
We'd like your opinion/thoughts on the two documents below, authored by Ben Thorn. We look forward to hearing from you!
We have received this report from Dr Rob Wortham, CEng CITP MIET FBCS, Director AI Global Digital Foundation (and IET book author) following a conference on AI Security and Industry Regulation in the EU. What do you think? Let us know your views here.
Download a copy
Developing Artificial Intelligence (AI) policy that can keep up with the rapid pace of the technology's development will be a major priority in new government plans to address it, PoliticsHome understands.
A government white paper on AI is expected on Wednesday, and could provide a first hint as to how the technology could be regulated in the UK. Read more
Let us have your thoughts!
Democratizing AI - Bringing the AI Superpower to the People
On 2nd March the network held a very successful webinar on Democratizing AI - Bringing the AI Superpower to the People - the recording is available below. You can download the CPD certificate below.
Researchers at Edge Hill University, in Lancashire, have launched a new drone project powered by artificial intelligence (AI) for battlefield triage. Read more in E&T Magazine
Meet the Committee
Have a look at the Healthcare podcasts - Artificial intelligence: hype or hope?
Prof Alastair Denniston and Dr Xiaoxuan Liu discuss why you would want to carry out a clinical trial for an artificial intelligence intervention. We also look at how clinical trials rely on good design, to ideally eliminate bias, but also on consistent reporting standards so that the results of the trial, whether good or bad, are made widely available.