Christine Wu, Managing Executive, Customer Value Management at Absa Retail and Business Bank, views artificial intelligence (AI) as an important enabler of the journey to a new banking model that is truly responsive to customer needs. "All areas of the bank's operations can benefit from AI – from the frontline, where we can make use of smarter profiling and customer interactions that are needs-based and tailored to a customer's profile, to customer servicing, where we can include clearer and more bespoke solutions to customers before they even ask – such as the automation of repetitive tasks," says Wu. AI is often defined as human-like intelligence achieved by machines – any system that "perceives its environment and takes actions that maximise its chance of achieving its goals". Advanced AI, according to experts, is also capable of learning and problem-solving. AI has been taken up enthusiastically across Africa, although the expert view is that it needs some fine-tuning to adapt to the African social and cultural environment. Still, the potential is as great in the banking landscape as it is in online and mobile transactions.

Artificial intelligence (AI) currently plays a central role in the digitisation and modernisation strategies of public administrations and companies throughout Europe, the United States and China. The potential improvements and advances in efficiency that the incorporation of AI can offer strategic sectors in different countries have made it indispensable in a new era of technological transformation. And while no one wants to be left behind, the main players of this new digital era have from the very beginning approached these technologies in significantly different ways. While the United States and China have already embraced AI as one more component of their geopolitical strategies, the European Union (EU) is positioning itself as a global leader in its ethical use. According to the EU, in order to be considered ethical, any AI technology used in its territory must ensure respect for the fundamental rights of EU citizens.

When trained on diverse labeled data, machine learning models have proven themselves to be a powerful tool in all facets of society. However, due to budget limitations, deliberate or non-deliberate censorship, and other problems during data collection and curation, the labeled training set might exhibit a systematic shortage of data for certain groups. We investigate a scenario in which the absence of certain data is linked to the second level of a two-level hierarchy in the data. Inspired by the idea of protected groups from algorithmic fairness, we refer to the partitions carved by this second level as "subgroups"; we refer to combinations of subgroups and classes, or leaves of the hierarchy, as "sources". To characterize the problem, we introduce the concept of classes with incomplete subgroup support. The representational bias in the training set can give rise to spurious correlations between the classes and the subgroups which render standard classification models ungeneralizable to unseen sources. To overcome this bias, we make use of an additional, diverse but unlabeled dataset, called the "deployment set", to learn a representation that is invariant to subgroup. This is done by adversarially matching the support of the training and deployment sets in representation space. In order to learn the desired invariance, it is paramount that the sets of samples observed by the discriminator are balanced by class; this is easily achieved for the training set, but requires using semi-supervised clustering for the deployment set. We demonstrate the effectiveness of our method with experiments on several datasets and variants of the problem.

Since the weeks leading up to Russia's invasion of Ukraine, warnings have been circulating that Russia might use deepfake videos--convincing fake videos created with artificial intelligence-- in the surrounding information war. Perhaps they would use deepfakes to fabricate a pretext for the invasion, or to have Ukrainian President Zelensky issue an order to surrender. With bated breath we waited, but no sign of deepfakery occurred. Then finally, on March 16--20 days into the invasion and 13 days after Ukraine warned this exact scenario might happen--a deepfake of Zelensky surrendering indeed appeared, and it was … unconvincing and obvious. The video editing was low-quality, and the voice was noticeably off; few people seem to have been fooled by it.

Companies developing artificial intelligence (AI)-powered marketing tools typically claim that their solutions drive strategic decision-making better than software without an algorithmic component. But -- as is often the case -- the reality is more complicated. AI learns to make predictions from large amounts of high-quality data, and so can be hamstrung (e.g., make mistakes) if that data is not available. The complex nature of marketing stacks, which sprawl across disparate, disconnected systems, can put up logistical roadblocks to implementation. Brew, a Tel Aviv, Israel-based strategic marketing platform, claims its approach is different from the rest in that it's more holistic.

Sean Cusack, a software engineer at Microsoft and beekeeper on the side, wanted to know if anything besides bees was going into his hives. So he built a tiny photo booth (a sort of bee vestibule) that took pictures whenever something appeared around it. But sorting through thousands of insect portraits proved tedious. Colleagues told him about a new product that the company was working on called Lobe.ai, which allows anybody to train a computer-vision system to recognize objects. Cusack used it to identify his honeybees -- but also to keep an eye out for the dreaded murder hornet.

Artificial intelligence (AI) is a cutting-edge computer science technology. It shares similarities with human intelligence in terms of language comprehension, reasoning, learning, problem solving. In the development and revision of technology, market manufacturers face enormous intellectual challenges during the forecast period. Furthermore, the expansion of the automotive industry is expected to drive the Automotive Artificial Intelligence Market during the forecast period. The automotive industry has recognized the potential of artificial intelligence and is one of the major industries that employs AI to augment and mimic human action which is the major factor driving the growth of Automotive Artificial Intelligence Market during the forecast period.

The Department of Innovation & Technology (InnoTech) under Druk Holding & Investments (DHI), the commercial arm of the Royal Government of Bhutan, has partnered with Omdena, a global collaborative platform that makes AI for good accessible to all. This partnership is a step further in DHI InnoTech's mission to strategize technology and innovation pathways to enhance access and diffusion of emerging technologies, and build local capacity in the fields of science and technology. Omdena will assist InnoTech in hosting a global 2-week hackathon wherein InnoTech will identify key themes and issues that can be resolved using innovative AI/ML applications. Omdena will work with 50 AI engineers over an additional 8-week challenge to develop the idea or POC selected from the hackathon into a fully deployable algorithm. The pilot InnoTech-Omdena event will serve as a showcase for local institutions and the general public who are interested in AI/ML.

Participants at the Middle East Naval Commanders Conference (MENC) held on the sidelines of the Doha International Maritime and Defence Exhibition and Conference 2022 (DIMDEX) have noted the importance of bilateral and multilateral partnerships among countries to ensure the oceans are protected from threats. While discussing'Resilience in the maritime Domain – Confronting Asymmetric Threats,' senior military officers and academia highlighted the rapid growth of technology, and artificial intelligence (AI) in modern military operations and the gradual shift towards unmanned technological revolution. Vice-Admiral Brad Cooper, Commander, US Naval Forces Central Command/5thFleet, said multilateral partnerships, especially in a vast and strategic region like the Middle East and the Gulf, would ensure the security of commerce and people. He also noted that Qatar, as a Major non-NATO ally (MNNA), would play a crucial role in deploying technologies alongside the US and other partners to ensure the region's security. "Oceans have long served as parts to new frontiers and opportunities, and they remain so today. This region has three strategic points, the Suez Canal, the Gulf of Aden and the Strait of Hormuz. Challenges to commercial vessels' security and stability and other threats can significantly impact global commerce. This is why resilience in the maritime domain matters greatly," Vice-Admiral Cooper said.

Fake faces created by artificial intelligence (AI) are considered more trustworthy than images of real people, a new study has found. The results highlight the need for safeguards to prevent deep fakes, which have already been used for revenge porn, fraud and propaganda, the researchers behind the report say. The study - by Dr Sophie Nightingale from Lancaster University in the UK and Professor Hany Farid from the University of California, Berkeley, in the US - asked participants to identify a selection of 800 faces as real or fake, and to rate their trustworthiness. After three separate experiments, the researchers found the AI-created synthetic faces were on average rated 7.7% more trustworthy than the average rating for real faces. This is "statistically significant", they add.