Climate models are biased with respect to real-world observations. They usually need to be adjusted before being used in impact studies. The suite of statistical methods that enable such adjustments is called bias correction (BC). However, BC methods currently struggle to adjust temporal biases. Because they mostly disregard the dependence between consecutive time points. As a result, climate statistics with long-range temporal properties, such as heatwave duration and frequency, cannot be corrected accurately. This makes it more difficult to produce reliable impact studies on such climate statistics. This paper offers a novel BC methodology to correct temporal biases. This is made possible by rethinking the philosophy behind BC. We will introduce BC as a time-indexed regression task with stochastic outputs. Rethinking BC enables us to adapt state-of-the-art machine learning (ML) attention models and thereby learn different types of biases, including temporal asynchronicities. With a case study of heatwave duration statistics in Abuja, Nigeria, and Tokyo, Japan, we show more accurate results than current climate model outputs and alternative BC methods.

On the recent development, the National Center for Artificial Intelligence and Robotics is equipped with state-of-the-art facilities that include;.

The National Centre for Artificial Intelligence and Robotics will engage youth, support in the diversification of the economy, create more jobs and inspire Nigeria's digital entrepreneurs. This was disclosed by the Minister of Communications and Digital Economy, Dr. Isa Pantami at the commissioning ceremony of the National Centre for Artificial Intelligence and Robotics on Friday, 13th November, 2020 in Abuja. Pantami reiterated that the proposed activities of this Centre map to Pillar No. 7 on Digital Society and Emerging Technologies and this explains the choice of the Centre's name. "Artificial Intelligence is the Refinery of the digital economy and Robotics is very useful in supporting companies as they carry out repetitive tasks. These are 2 very important emerging technologies that will shape the face of future technologies and we have decided to be proactive to enable us play a key role in how these technologies evolve, Pantami said.

While there are many training programs in Nigeria related to developing AI talent, it is usually difficult to point out AI applications that are locally developed and are already available in the marketplace. This article will hopefully be the first of a series of articles; I will be uncovering several locally developed AI applications in Nigeria. Some you might know, some you won't. All in all, my goal in this series is to dispel beliefs that AI is an imported technology in Nigeria. Nigeria may not be pulling its weight compared to Ghana, South Africa, and Kenya in the African AI space, but there are notable strides that we should be aware of.