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by   -   March 5, 2021
AI index report
Image taken from the front cover of the 2021 AI Index Report.

The 2021 AI Index Report has been published. Compiled by the Stanford Institute for Human-Centered Artificial Intelligence (HAI), it tracks, summarises and visualises data relating to artificial intelligence.

by   -   March 4, 2021

quality education focus series badge
As part of our ongoing focus on the UN sustainable development goals (SDGs), we are launching the third topic in this series: quality education. Posts on this topic will be featured on our website throughout March.

by   -   March 2, 2021

AIhub logo

AIhub launched in 2020 and during our first year we’ve published some great content from the community, on a wide variety of topics. We’ve put together a short video that summarises what we do. You can also find out how we can help you to communicate your research to a wider audience.

by   -   February 26, 2021

bulgarian flag

The Bulgarian government has adopted a “Concept for the Development of Artificial Intelligence“, planned until 2030. This strategy is in line with the documents of the European Commission, considering AI as one of the main drivers of digital transformation in Europe and a significant factor in ensuring the competitiveness of the European economy and high quality of life.

by   -   February 19, 2021

Image of earth with superimposed digital network

In December 2020, the Royal Society published a report on Digital Technology and the Planet: Harnessing computing to achieve net zero. In his foreword, Professor Andy Hopper, Vice President of the Royal Society and Professor of Computer Technology, University of Cambridge writes: “Nearly a third of the 50% carbon emissions reductions the UK needs to make by 2030 could be achieved through existing digital technology.”

by   -   February 16, 2021
t-SNE plots for different ATAC-seq data
Clustering performance comparison when different thresholds and parameters are changed. Figure taken from Predicting transcription factor binding in single cells through deep learning, published under a CC BY-NC 4.0 licence.

Scientists at the University of California, Irvine have developed a new deep-learning framework that predicts gene regulation at the single-cell level. In a study published recently in Science Advances, UCI researchers describe how their deep-learning technique can also be successfully used to observe gene regulation at the cellular level. Until now, that process had been limited to tissue-level analysis.

by   -   February 10, 2021

quality education focus series badge

We are launching the third topic in our focus series on the UN sustainable development goals (SDGs). In March we will start publishing posts relating the goal of “quality education”, which is SDG number four on the UN list.

by   -   February 5, 2021


The AAAI-21 best paper awards were announced on Thursday 4th February during the opening ceremony of AAAI 2021. There were three best papers, three best paper runners-up, and six distinguished papers.

by   -   February 3, 2021


In December, Heinrich-Böll-Stiftung hosted a virtual briefing featuring researchers from Climate Change AI (CCAI). They talked about the role machine learning can play in facilitating climate change mitigation and adaptation strategies, AI applications that increase emissions, and energy use in AI itself.

by   -   February 3, 2021

AIhub focus issue badge - climate action

As part of our ongoing focus on the UN sustainable development goals (SDGs), we are launching the second topic in this series: climate action. Posts on this topic will be featured on our website throughout February.

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