Tues, April 19, 2022 11-12pm CST Register: https://bit.ly/african-indaba-nlp Ife Adebara, PhD Candidate, African Languages, Computational Linguistics, & Deep Learning UBC, Vancouver, ATLI David Ifeoluwa Adelani, PhD Candidate, Africa NLP Universität des Saarlandes; Germany, Masakhane NLP The African DH Indabas are an avenue for occasional African DH discussions in which mostly Africa-based digital humanities scholars are in conversation with each other, or with colleagues from other parts of the world. The idea of the indaba suggests our commitment at AAAS, African Digital Humanities @KU, and IDRH-KU to creating a global community of leaders and experts in African digital humanities. Send questions to James Yeku at jyeku@ku.edu, powered by Localist, the Community Event Platform

Artificial intelligence (AI) plays a crucial role in the healthcare industry by helping doctors, patients and hospital administrators. Artificial Intelligence (AI) is defined as computing systems which are capable of performing tasks that humans are very good at, for example recognising objects, recognising and making sense of speech, and decision making in a constrained environment. For the purposes of this article, Machine Learning and Deep Learning (Deep Neural Networks) are defined as sub-branches of AI. See the Appendix for a more detailed explanation of these areas. Healthcare systems were already under a substantial strain before the arrival of the Covid-19 pandemic. This strain has only increased since the pandemic and may cause challenges that persist for many years. It takes many years and costly resources to train healthcare workers. Specialist medical practitioners tend to be in short supply and often work long hours.

DARPA, In-Q-Tel, US National Laboratories (examples: Argonne, Oak Ridge) are famous government funding agencies for deep tech on the forward boundaries, the near impossible, that have globally transformative solutions. The Internet is a prime example where more than 70% of the 7.8 billion population are online in 2022, closing in on 7 hours daily mobile usage, and global wealth of $500 Trillion is powered by the Internet. There is convergence between the early bets led by government funding agencies and the largest corporations and their investments. An example is from 2015, where I was invited to help the top 100 CEOs, representing nearly $100 Trillion in assets under management, to look ten years into the future for their investments. The resulting working groups, and private summits resulted in the member companies investing in all the areas identified: quantum computing, block chain, cybersecurity, big data, privacy and data, AI/ML, future in fintech, financial inclusion, ...

Business Insights & Technology Trends What is Strategic Planning?

Fixing bugs in a timely manner lowers various potential costs in software maintenance. However, manual bug fixing scheduling can be time-consuming, cumbersome, and error-prone. In this paper, we propose the Schedule and Dependency-aware Bug Triage (S-DABT), a bug triaging method that utilizes integer programming and machine learning techniques to assign bugs to suitable developers. Unlike prior works that largely focus on a single component of the bug reports, our approach takes into account the textual data, bug fixing costs, and bug dependencies. We further incorporate the schedule of developers in our formulation to have a more comprehensive model for this multifaceted problem. As a result, this complete formulation considers developers' schedules and the blocking effects of the bugs while covering the most significant aspects of the previously proposed methods. Our numerical study on four open-source software systems, namely, EclipseJDT, LibreOffice, GCC, and Mozilla, shows that taking into account the schedules of the developers decreases the average bug fixing times. We find that S-DABT leads to a high level of developer utilization through a fair distribution of the tasks among the developers and efficient use of the free spots in their schedules. Via the simulation of the issue tracking system, we also show how incorporating the schedule in the model formulation reduces the bug fixing time, improves the assignment accuracy, and utilizes the capability of each developer without much comprising in the model run times. We find that S-DABT decreases the complexity of the bug dependency graph by prioritizing blocking bugs and effectively reduces the infeasible assignment ratio due to bug dependencies. Consequently, we recommend considering developers' schedules while automating bug triage.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Trust in technology is eroding. This is especially true when it comes to emerging technologies such as AI, machine learning, augmented and virtual reality and the Internet of Things. These technologies are powerful and have the potential for great good. But they are not well understood by end-users of tech and, in some cases, not even by creators of tech.

PLEASE NOTE: This is the first generated blog and each new run of the code will be different. This should not be taken as the ground truth. The mining industry has been globalised for many years, with companies operating in multiple countries to maximise production and profits. However, this has led to a number of challenges, including the need to operate in different regulatory environments, manage different labour forces, and navigate different tax systems. Additionally, the volatility of commodity prices has also led to challenges for the industry. Despite these challenges, the mining industry remains a key driver of globalisation, and offers a number of opportunities for companies looking to expand into new markets.

Val Kilmer, the star of movies as wide-ranging as Top Gun, Batman Forever, Heat, and The Prince of Egypt, withdrew from the public eye following a throat cancer diagnosis and two tracheotomies which left his ability to express himself vocally severely impaired. He now speaks using a voice box. "Speaking, once my joy and lifeblood, has become an hourly struggle," Kilmer wrote in his 2020 memoir I'm Your Huckleberry, describing his voice as "Marlon Brando after a couple of bottles of tequila. But now, fans of the actor are able to once again hear his voice. Kilmer--who is returning to the big screen in the long-awaited sequel Top Gun: Maverick later this year--has partnered with tech company Sonantic to generate a version of his speech using artificial intelligence, based on existing footage and recordings of his voice. "We all have the capacity to be creative," Kilmer says in the video below. "We are all driven to share our deepest dreams and ideas with the world.

In November 2021, Oluwaseun Medayedupin was arrested by the Nigerian police in Lagos. An investigation found that he had been pursuing "disgruntled employees" from American companies and pushing them to release ransomware on internal enterprise servers, offering a percentage of the cut if they agreed to collaborate in the attack. This was a sophisticated social engineering scheme, far more advanced than the notorious "Nigerian prince" emails that have made the country of Nigeria synonymous with scams. The origins of these types of scams may be attributed to a boom in the establishment of cybercafes during the 1990s, coinciding with falling oil prices in Nigeria and a rise in unemployment. Add in a lack of national social security, and many Nigerians were forced to seek out alternative forms of employment--physical labor; gig work; and, most notoriously, cybercrime.

Before droves of people descend on a convention center for a trade show or conference, the hall must be carefully divided up to accommodate corporate show booths, walkways for attendees, spaces for administrators/security and much more. The process of defining the layout and marking it up for construction crews is often done with humans laboriously measuring and marking distances, but Lionel can do all of this for you. Once given a plan, it zooms along empty convention halls while precisely marking all of the dimensions for the schematics that you have in mind. Lionel, the floor-marking robot, was made specifically for the organizers of trade shows and conferences. Lionel isn't a robot that you'd typically think of when you imagine new applications of technology, but it fills a niche that there is strong demand for.