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The Best Way to Make AI-Generated Digital Art for Free

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The internet is collectively obsessed with art-generating AIs lately, and one of the newest tools is Midjourney. And while the full version requires a monthly subscription, Midjourney is free to use for up to 25 images, and you can browse and download images made by other users even if you never sign up for a paid account. Midjourney's images are impressive compared to other art-generating apps out there, with results that almost look like they were made by human artists. And I am really emphasizing the "almost" in that sentence. This is a machine mashing together works from real human painters, illustrators, and digital artists (none of whom are compensated for their work being used in this way, by the way).


Artificial intelligence program effectively manages asset portfolios, NCSU researcher says

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Researchers have developed and demonstrated an artificial intelligence (AI) program that allows them to meet specific investment risk and return goals for large-scale portfolios containing hundreds of assets. "We wanted to know whether we could use machine learning to improve the Sharpe Ratio in order to get better information on what to buy, sell or keep in your portfolio to enhance your portfolio performance over periods of 6-12 months," says Mehmet Caner, co-author of a paper on the work. "This work shows that we can." Caner is the Thurman-Raytheon Distinguished Professor of Economics in NC State's Poole College of Management. The Sharpe Ratio is a way of measuring the trade-off an investor's portfolio makes between the magnitude of their returns and the risk that their holdings will lose value.


Europe's Forthcoming AI Act Will Have a Wide Reach and Broad Implications - Fintech Schweiz Digital Finance News - FintechNewsCH

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Like the European Union (EU)'s General Data Protection Regulation (GDPR) that entered into force in 2016, the upcoming Artificial Intelligence (AI) Act will have extraterritorial scope and global impact. Considering the AI Act's broad scope and the financial risks relating to non-compliance, businesses must prepare for these future regulatory changes now and proactively take the initiatives to comply with best practices early on, according to a new whitepaper by Swiss data services company Unit8. The paper, titled Upcoming AI Regulation: What to expect and how to prepare, delves into the EU's forthcoming AI Act, providing insights into the future development of AI regulation in Europe and the potential implications for organizations worldwide. The European Commission (EC) unveiled a proposal for a legal framework on AI in April 2021, seeking to address risks of specifically created by AI applications, proposing a list of high risk applications, setting clear requirements for AI systems for high risk applications and defining specific obligations for AI users and providers of high risk applications. The proposed rules also propose a conformity assessment method for AI systems, propose enforcement after an AI system is placed in the market, and propose a governance structure at European and national level.


Using Machine Learning to Reduce Burden on Infection Control Staff

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Surveillance of health care–associated infection (HAI) is the foundation of infection control and one of the first steps in infection prevention. Traditionally, however, surveillance is performed by infection control professionals (ICPs) who manually review patients' records, searching for defined criteria. Such an approach leaves room for subjective interpretation, resulting in low interrater reliability. Moreover, depending on the surveillance method used -- for instance, a search based on antimicrobial results -- it may have low sensitivity. In Brazil, leaders at Tacchini Hospital and Qualis, a startup that offers infection control advisory and antimicrobial stewardship, have developed a machine-learning–algorithm robot that has been demonstrated to be a reliable tool for identifying patients with HAIs using a semiautomated method.


Deep Learning Software Market to See Huge Growth by 2027 : Microsoft, Nvidia, AWS - Digital Journal

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Market Drivers: Rising complexity and diversity of mobile networks is driving the market of deep learning. These increasing complexity has made the managing of the network difficult.


Atlas maps how cities around the world are using AI - Cities Today

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It was launched by the Global Observatory for Urban AI, which is an initiative of the Cities Coalition for Digital Rights and led by CIDOB – the Barcelona Centre for International Affairs, and the cities of Barcelona, London and Amsterdam. The programmes aim to help cities deploy AI effectively and ethically through frameworks and real-world examples of projects, policies and strategies. The Atlas of Urban AI so far includes 106 initiatives in 36 cities, with municipalities invited to submit their own. Cities using AI include Los Angeles to better understand air quality, London in Canada to predict the likelihood of individuals becoming chronically homeless, and a chatbot from Buenos Aires. As well as providing information on individual projects, the mapping aims to track how cities' use of AI evolves over time.


NVIDIA, LXAI, and Tec de Monterrey Launch AI Supercomputer Network

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This week NVIDIA, LXAI, and Tecnológico de Monterrey announced the upcoming launch of the AI Supercomputer Network in collaboration with Hub de IA del Tec de Monterrey. Many countries in Latin America including Mexico, Brazil, Perú, Chile, and Colombia, are developing their national AI strategies but many LATAM universities and research centers struggle to access high-performance computing due to high prices, low government investment in research, and limited international collaborations. This initiative aims to address these challenges by providing an international network of state of the art GPUs for LATAM access. The official launch will be in Guadalajara on August 9th. The objective of this initiative is to strengthen the capacities of the AI ecosystem in Latin America including developing and attracting AI experts, building technological infrastructure, boosting international collaboration, and providing easy access to public data.


OneConnect partners Pismo for unified digital banking solution, OneCosmo

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Technology-as-a-service (TaaS) firm OneConnect Financial Technology has launched an all-in-one digital banking solution, OneCosmo. The solution has been jointly developed with Brazil-based fintech Pismo, with which OneConnect entered into a strategic partnership in April this year. The platform leverages artificial intelligence (AI), machine learning (ML) and blockchain to form a "highly scalable" and integrated solution for banks and fintechs looking to build digital banking capabilities. OneCosmo offers digital identity verification, core banking, digital payments and digital lending capabilities and allows for integration with third-party services thanks to "highly flexible" APIs and microservices. The platform will also enable financial institutions to leverage real-time data streaming, allowing for greater insight into consumer behaviour through data analysis.


DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

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Modern neural networks use building blocks such as convolutions that are equivariant to arbitrary 2D translations. However, these vanilla blocks are not equivariant to arbitrary 3D translations in the projective manifold. Even then, all monocular 3D detectors use vanilla blocks to obtain the 3D coordinates, a task for which the vanilla blocks are not designed for. This paper takes the first step towards convolutions equivariant to arbitrary 3D translations in the projective manifold. Since the depth is the hardest to estimate for monocular detection, this paper proposes Depth EquiVarIAnt NeTwork (DEVIANT) built with existing scale equivariant steerable blocks. As a result, DEVIANT is equivariant to the depth translations in the projective manifold whereas vanilla networks are not. The additional depth equivariance forces the DEVIANT to learn consistent depth estimates, and therefore, DEVIANT achieves state-of-the-art monocular 3D detection results on KITTI and Waymo datasets in the image-only category and performs competitively to methods using extra information. Moreover, DEVIANT works better than vanilla networks in cross-dataset evaluation. Code and models at https://github.com/abhi1kumar/DEVIANT


Artificial Intelligence (AI) in Insurance Market May See a Big Move : Google, Microsoft , IBM: Long Term Growth Story

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New Jersey, NJ---- 07/19/2022-- The Global Artificial Intelligence in Insurance Market Report assesses developments relevant to the insurance industry and identifies key risks and vulnerabilities for the Artificial Intelligence in Insurance Industry to make stakeholders aware with current and future scenarios. To derive complete assessment and market...