Instead of analyzing days, weeks, or months of recorded footage for animal behavior studies, researchers can now turn the task over to an open-source algorithm capable of picking up even subtle actions. Not only could this save researchers time, it could also improve the lives of animals in zoos, the wild, and the lab. Animal behavior: Animals can't talk to humans (yet), but they can communicate through their behavior -- an animal that's eating less than normal may be experiencing depression or illness, for example. Much of what we can learn from animal behavior requires that we study them for an extended period of time. Being able to analyze animal behavior is hugely important for both people and animals.

On the internet and in the real world women are drastically under-represented than men in all types of things whether it be profession or the entertainment industry. If a need of information arises we automatically go to Wikipedia but Wikipedia is not as diverse as you might think because women are underrepresented over there as well. The website does not give the credit and recognition that is deserved by women because only 20% of all biographies on Wikipedia belong to women. That percentage deteriorates further when we talk about industries that have male domination like science and underrepresented historical communities. Addressing the fact that gender bias exists especially on the internet, Angela Fan who is an AI researcher for Meta, worked on this topic for her PhD.

Welcome to our April 2022 monthly digest, where you can catch up with any AIhub stories you may have missed, get the low-down on recent events, and much more. This month, we hear from our latest new voice in AI, talk about AI images, investigate data justice, and watch an AI system play bridge. In our latest episode of New voices in AI, we caught up with Maria De-Arteaga who told us about her work and journey into algorithmic fairness and human algorithm collaboration. You can find all episodes in the series here. In this article, Thom Badings and Nils Jansen write about their work on controllers for autonomous systems that won them, and co-authors Alessandro Abate, David Parker, Hasan Poonawala, and Marielle Stoelinga, a distinguished paper award at AAAI 2022.

However, current autoregressive approaches suffer from high latency. In this paper, we focus on non-autoregressive translation (NAT) for this problem for its efficiency advantage. We identify that current constrained NAT models, which are based on iterative editing, do not handle low-frequency constraints well. To this end, we propose a plug-in algorithm for this line of work, i.e., Aligned Constrained Training (ACT), which alleviates this problem by familiarizing the model with the source-side context of the constraints. Experiments on the general and domain datasets show that our model improves over the backbone constrained NAT model in constraint preservation and translation quality, especially for rare constraints.

Aidan Connolly is the President of AgriTech Capital, a food/farm futurologist, and author of "2-1-4-3, Plan your Explosive Business Growth," Described as the world's least digitized industry by McKinsey analysts (joint last position with hunting), the food producers of the world could only agree that agriculture has struggled to avail of the breakthroughs in technology that have transformed other industries. Uber has disrupted transportation, Netflix the movies, Airbnb the hotel business, online money movers who hold no cash now dominate banking and we purchase apps from companies who don't make them. Yet, farming seems to have changed little in the 10,000 years since the first animals were domesticated, and many believe that it will change little in the coming decades. However, I contend that this view is myopic and fails to recognize the degree of disruption already happening in farming. Sean Moffitt, managing director of Futureproofing, listed the 30 new technologies that both are currently seeing the greatest dollar investments and that industries will require to futureproof themselves for the next decade.

By Joyjit Chatterjee and Nina Dethlefs, University of Hull Cottingham Artificial Intelligence (AI) is much more than just a buzzword nowadays. It powers facial recognition in smartphones and computers, translation between foreign languages, systems which filter spam emails and identify toxic content on social media, and can even detect cancerous tumours. These examples, along with countless other existing and emerging applications of AI, help make people's daily lives easier, especially in the developed world. As of October 2021, 44 countries were reported to have their own national AI strategic plans, showing their willingness to forge ahead in the global AI race. These include emerging economies like China and India, which are leading the way in building national AI plans within the developing world.

The Advancing Data Justice project is a Global Partnership on AI (GPAI) initiative, led by The Alan Turing Institute. Researchers from the Institute have been collaborating with twelve Policy Pilot Partner organisations from Asia, Oceania, Africa, and South America, and each of these have been working to understand what data justice might look like in their distinct contexts. The aims of the project are 1) to gain a better understanding of the current state of research in the field to better inform future research directions, and 2) to create a guide for policymakers, developers, and communities affected by AI, comprising advice on what they should consider in their practice, use and experience of AI systems. As part of the project, the team have recently launched the first instalment of a documentary series which tracks the work of the project partners. They discuss how data-driven technologies can be deployed in a way which is compatible with values of social justice.

When COVID-19 hit, an enterprising group of pupils in Abuja, Nigeria, used their robotics class to design and build a simple robot to cut down on interpersonal contact in hospitals. Using only scraps they found around the classroom, they each contributed to the ideas, concept, mechanics and AI elements of their robot "Mairabot" – which earned praise from health officials and their teachers alike. Mairabot, by filmmaker Philip Okpokoro, introduces us to Nabila Abbas and her fellow students in this short, inspiring film. Philip Okpokoro is a Nigerian director and cinematographer with an impressive record in both documentary and live TV directing. He has directed a wide array of film projects from high-end live TV to intimate documentaries for global broadcasters, and has been awarded for best director of photography.

Eventbrite - Jayne Bullock, Department of Computer Science, University of Oxford (jayne.bullock@cs.ox.ac.uk) presents Strachey Lecture: Professor Neil Lawrence (University of Cambridge) - Tuesday, 3 May 2022 at Mathematical Institute, University of Oxford, Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, Oxford, England. Find event and ticket information.

South Africa's Apollo Fintech has tapped ThetaRay for its AI-powered cross-border payments monitoring technology Sonar. The tech will be deployed to monitor and screen transactions on its new Knox Wire service, a bank-to-bank cross-border payments system. Apollo Fintech CEO Stephen McCullah says utilising ThetaRay's anti-money laundering (AML) solution will allow the firm "to expand our network of partner financial institutions". Knox Wire enables 30,000 financial institutions to offer their clients near-instant cross-border payments to over 200 countries in 150 currencies with lower transactions costs. "Knox Wire was built to set a new global standard for network size and settlement speed," McCullah adds.