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by   -   January 11, 2021


The IJCAI-2020 awards were presented during the opening ceremony of IJCAI-PRICAI today. The awards included the 2020 IJCAI-JAIR Best Paper Prize and the AIJ Classic Paper and Prominent Paper Awards. Find out the winners of all the awards here.

by   -   January 8, 2021

AIhub focus issue badge - climate action

We are launching the second topic in our focus series on the UN sustainable development goals (SDGs). In February we will start publishing posts relating the goal of “climate action”, which is SDG number 13 on the UN list.

by   -   January 7, 2021

IJCAI-PRICAI2020, the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence starts today and will run until 15 January. Find out what’s happening during the event.

by   -   January 6, 2021
Reading diabetes monitor Credit: James Charles
Reading diabetes monitor. Credit: James Charles

A computer vision technology developed by University of Cambridge engineers has now been integrated into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.

The app uses computer vision techniques to read and record the glucose levels, time and date displayed on a typical glucose test via the camera on a mobile phone.

by   -   December 18, 2020


By Long Pham

On December 2nd, 2020 the President of the Government of Spain, Pedro Sánchez, presented the National Artificial Intelligence Strategy (Estrategia Nacional de Inteligencia Artificial (ENIA)). The strategy aims to create an environment of trust regarding the development of inclusive, sustainable artificial intelligence (AI) that places people at its heart.

by   -   December 16, 2020

We are delighted to announce the launch of our focus series on AI for Good: UN sustainable development goals (SDGs). Each month we will pick a different sustainable development goal (SDG) and highlight work in that area. For this first issue we will be publishing a series of articles on SDG number three: “good health and well-being”.

By Kristen Perez, Machine Learning Center at Georgia Tech and School of Computational Science and Engineering.

Natural disasters cause considerable economic damage, loss of life, and network disruptions each year. As emergency response and infrastructure systems are interdependent and interconnected, quick assessment and repair in the event of disruption is critical.

by   -   December 10, 2020
Gamba grass field
Gamba grass can grow up to four metres high and forms dense tussocks which can burn as large, hot fires late in the dry season. Credit: NESP Northern Australia Hub.

Researchers from CSIRO, Charles Darwin University and The University of Western Australia have developed a machine-learning approach that reliably detects invasive gamba grass from high-resolution satellite imagery.

by   -   December 9, 2020

AIhub | Tweets round-up

It’s been a busy few days at NeurIPS 2020 so far with all manner of talks, workshops, tutorials and socials on offer. This selection of tweets gives a flavour of the various events and discussions taking place.

by   -   December 8, 2020


The winners of the NeurIPS 2020 awards have been announced. This year, three papers have received Best Paper Awards. There was also one Test of Time Award; this recognises a paper that has had significant and lasting impact on the community.

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