I am incredibly humbled to have been able to give a short talk at the Queer in AI workshop at ICML2020. This is the text of the talk. What an experience we are all having in recording these videos! Of all the videos you could be watching, Thank you for watching this one, and being here - I'm honoured to be given the gift of your time. And of course, a huge thank you to the organisers of the ICML2020 Queer In AI workshop for this opportunity.

Of the 7,117 living languages currently known, Apple's Siri supports 21, Amazon Alexa eight, and Google Home 13. Our learned ability to use words to construct sentences that convey information, ideas, and emotions in an organized way makes us unique among animals. However, language has significance beyond communication. It is an expression of cultural identity, a demonstration of the existence of communities of peoples. According to Ethnologue: Languages of the World, there are currently 7,117 known living languages.

When it is globally appreciated that there is a shortage for trained cybersecurity professionals, Kenya only has about 1600 trained cybersecurity experts against a potential 51.1 M users of the net, as reported by the Communications Authority of Kenya. I speak to Ron Green, the Executive Vice President of MasterCard and the Chief Security Officer Globally, who while visiting Kenya is hard hit by the reality of the need for cybersecurity experts. He refers to this as a global phenomenal. His major concern is that anyone and everyone is prone to cyber attacks at any time in their lives, regardless of age and occupation just as long as they can access the internet. He is convinced that going forward, more efforts must be deliberately put into cybersecurity trainings to grow the number of experts in that space thus enhancing security online.

An IoT-enabled system for transporting dairy products earned its designers the top prize in a competition run by Cisco. The Global Problem Solver Challenge, which is one of Cisco's corporate social responsibility (CSR) initiatives, pays cash awards to entrepreneurial companies using technology to solve the world's biggest challenges. The program also gives out four $25,000 awards and seven $10,000 prizes. This year, I was honored to be invited to help judge the 2020 winners. In full disclosure, I agreed to be a judge but I received no compensation, as I believe we all have to work together to make the world a better place.

Businesses, academia, civil societies, human rights activists, labour movements, non-profit organisations, SMMEs, legal fraternity, women and youth organisations have signed an Expression of Interest (EoI). The EoI provides a platform for cooperation and leverages the collective strengths, insights, knowledge and thought leadership of multiple stakeholders for the realisation of AI benefits. The EoI, signed yesterday at the AI Dialogue South Africa that took place virtually, will promote the responsible use of AI and establish an ethical framework with regulation and standards in mind while allaying many of the fears associated with the technology. "The past few weeks have shown how AI is at risk of being biased and manipulated," says Andile Ngcaba, chairman of Convergence Partners. "Facial recognition has come under fire recently for mass surveillance, racial profiling and violations of basic human rights. Large corporations have also pulled plugs off their facial recognition missions. "These inherent personal and environmental biases need discussion and options need to be considered.

Deep convolutional neural networks(CNNs) have been successful for a wide range of computer vision tasks, including image classification. A specific area of the application lies in digital pathology for pattern recognition in the tissue-based diagnosis of gastrointestinal(GI) diseases. This domain can utilize CNNs to translate histopathological images into precise diagnostics. This is challenging since these complex biopsies are heterogeneous and require multiple levels of assessment. This is mainly due to structural similarities in different parts of the GI tract and shared features among different gut diseases. Addressing this problem with a flat model that assumes all classes (parts of the gut and their diseases) are equally difficult to distinguish leads to an inadequate assessment of each class. Since the hierarchical model restricts classification error to each sub-class, it leads to a more informative model than a flat model. In this paper, we propose to apply the hierarchical classification of biopsy images from different parts of the GI tract and the receptive diseases within each. We embedded a class hierarchy into the plain VGGNet to take advantage of its layers' hierarchical structure. The proposed model was evaluated using an independent set of image patches from 373 whole slide images. The results indicate that the hierarchical model can achieve better results than the flat model for multi-category diagnosis of GI disorders using histopathological images.

In this article, we give visualization and different machine learning technics for two weeks and 40 days ahead forecast based on public data. On July 15, 2020, Senegal reopened its airspace doors, while the number of confirmed cases is still increasing. The population no longer respects hygiene measures, social distancing as at the beginning of the contamination. Negligence or tiredness to always wear the masks? We make forecasting on the inflection point and possible ending time.

Machine learning (ML) is a promising enabler for the fifth generation (5G) communication systems and beyond. By imbuing intelligence into the network edge, edge nodes can proactively carry out decision-making, and thereby react to local environmental changes and disturbances while experiencing zero communication latency. To achieve this goal, it is essential to cater for high ML inference accuracy at scale under time-varying channel and network dynamics, by continuously exchanging fresh data and ML model updates in a distributed way. Taming this new kind of data traffic boils down to improving the communication efficiency of distributed learning by optimizing communication payload types, transmission techniques, and scheduling, as well as ML architectures, algorithms, and data processing methods. To this end, this article aims to provide a holistic overview of relevant communication and ML principles, and thereby present communication-efficient and distributed learning frameworks with selected use cases.

An IoT-enabled system for transporting dairy products earned its designers the top prize in a competition run by Cisco. The Global Problem Solver Challenge, which is one of Cisco's corporate social responsibility (CSR) initiatives, pays cash awards to entrepreneurial companies using technology to solve the world's biggest challenges. The program also gives out four $25,000 awards and seven $10,000 prizes. This year, I was honored to be invited to help judge the 2020 winners. In full disclosure, I agreed to be a judge but I received no compensation, as I believe we all have to work together to make the world a better place.

Brain-computer interfaces are seeing massive AI breakthroughs including neural bridges being built for learning, treatment of specific diseases and overcoming the electrical-to-biochemical language barrier. These trends are what will optimise the information bandwidth that comes with neuroscience technology. "A monkey has been able to control a computer with its brain." That almost unimaginable yet remarkably accurate observation was made by Elon Musk, author and CEO of Tesla. In his presentation, Musk switched between varying forms of "what is" to "what could be", before announcing the details surrounding Tesla Energy.