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IEEE Articles
IEEE reveals technology and enterprise trends for 2025
IEEE has released the results of ‘The Impact of Technology in 2025 and Beyond: an IEEE Global Study’, a new survey of global technology leaders from Brazil, China, India, the UK and US.
IEEE Medal of Honour raised to $2 million
In a significant step to recognise the transformative influence of innovators in technology, engineering, and science, IEEE has announced that from 2025, the prize for the IEEE Medal of Honour will be raised to $2 million.
IEEE global study reveals AI will be most important tech in 2024
IEEE released the results of ‘The Impact of Technology in 2024 and Beyond: an IEEE Global Study,’ a new survey of global technology leaders from the US, UK, China, India, and Brazil.
Building a sustainable pipeline of female talent
Over the course of history, the contributions to technology from women have often been overlooked - and there is still a long way to go when it comes to representation throughout the industry. Leaders must also recognise that women contribute far more to business success than simply meeting diversity and inclusion targets. Carmen Fontana, IEEE member and, VP. operations at Augment Therapy discusses.
2023 set to be a big year for UK space developments
The first orbital rocket launch from British soil is set to take place in this evening (9 January 2023).
2023 to be a big year for space & satellite developments
2023 is set to be a huge year for British space launches. The nation holding its breath for further news on the Virgin Orbit launch from Spaceport Cornwall now that the final required licenses have been issued by the UK space regulator, which will put Britain on the ‘space’ map.
NHS smart watches offer Parkinson’s patients a better quality of life
More than 100,000 patients with Parkinson’s disease will be prescribed smartwatches and apps on the NHS as part of a technological revolution in treatment.
How fast will machine learning reach us?
The July 2021 issue of IEEE/CAA Journal of Automatica Sinica features six articles that showcase the potential of machine learning in its various forms. The applications described in the studies range from advanced driver assistance systems and computer vision to image processing and collaborative robotics.