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Computer scientists suggest research integrity could be at risk due to AI generated imagery

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A small team of researchers at Xiamen University has expressed alarm at the ease with which bad actors can now generate fake AI imagery for use in research projects. They have published an opinion piece outlining their concerns in the journal Patterns. When researchers publish their work in established journals, they often include photographs to show the results of their work. But now the integrity of such photographs is under assault by certain entities who wish to circumvent standard research protocols. Instead of generating photographs of their actual work, they can instead generate them using artificial-intelligence applications.


Examples of Information Retrieval Application on Image and Text

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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. In this post, I want to write what I shared when I got invited as a guest lecturer at the University of Indonesia for the Advanced Information Retrieval course. I shared several Information Retrieval implementation ideas that can be used in the real world.


This futuristic, autonomous pod vehicle is a living room on wheels

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To mark its its centennial, Japan's Asahi Kasei has unveiled the AKXY2 concept pod vehicle. The vehicle has been designed to reimagine values of sustainability, satisfaction and society and how these will influence the needs of future mobility on the road to automation and electrification. When looked at closely, the concept AKXY2 can be seen featuring a split body with a streamlined lower section and an upper glass canopy. The latter can be lifted up vertically, while a door folds down to provide access to the cabin. The exterior of the vehicle features slender lighting units and aerodynamic wheel covers with transparent inserts.


Artificial Intelligence in China

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In the fifth of a series of blogs from our global offices, we provide a overview of key trends in artificial intelligence in China. What is China's strategy for Artificial Intelligence? In March 2021, the Chinese government released the Outline of the 14th Five-Year Plan of the National Economic and Social Development of the People's Republic of China and Vision 2035. This includes more than 50 references to "[artificial] intelligence", reflecting China aims to develop of a new generation of information technology powered by artificial intelligence. Specifically, China intends to drive industry through science and technology projects to develop cutting-edge fundamental theories and algorithms, create specialized chips and build open-source algorithm platforms such as deep learning frameworks.


How an AI robot can help seniors battle loneliness - MedCity News

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Powered by AI, ElliQ is a voice-operated robotic care companion designed to foster independence and provide support for older adults. About 1 in 4 adults 65 and older are considered to be socially isolated, putting them at increased risk for a wide range of health conditions, from dementia to heart disease and stroke. Many don't have family and friends who live nearby or visit regularly; and the number of professional caregivers is failing to keep up with demand as the U.S. population ages. Responding to the need, the New York State Office for the Aging announced Wednesday that it is partnering with Intuition Robotics to bring an AI robotic care companion into the homes of 800 older adults as part of the state's efforts to battle social isolation and support aging in place. NYSOFA is working with local offices for the aging and other partners to identify older adults who would most benefit from ElliQ by Intuition Robotics, which the Israeli company describes as first-ever proactive and empathetic AI robotic care companion.


BGI Releases 1st Panoramic Atlases of Life

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International scientists led by China's BGI•Research released the world's first panoramic spatial atlases of life on May 4, examining the cellular dynamics of organisms at different developmental stages and providing potentially significant new information for disease treatment, development and aging, and an improved understanding of biological evolution. In a series of studies published in Cell Press journals, members of Spatio-Temporal Omics Consortium (STOC), an international scientific consortium, used the spatially resolved transcriptomics technology Stereo-seq to produce spatio-temporal cellular maps of mice, small fruit flies, zebrafish and the Arabidopsis (thale cress) plant. The papers demonstrate how Stereo-seq has achieved a major breakthrough in spatial resolution and panoramic field of view, enabling analysis of the distribution and placement of molecules and cells in situ, and over time. Over 80 scientists from leading universities in 16 countries have so far collaborated as part of STOC focusing on using spatially resolved, cellular resolution omics technologies to map and understand life. It builds on the achievements of single-cell sequencing, elevating it to the next level by enabling scientists to track a cell's precise location and how it interacts with its neighbors.


Singapore touts need for AI transparency in launch of test toolkit

ZDNet

Businesses in Singapore now will be able to tap a governance testing framework and toolkit to demonstrate their "objective and verifiable" use of artificial intelligence (AI). The move is part of the government's efforts to drive transparency in AI deployments through technical and process checks. Coined A.I. Verify, the new toolkit was developed by the Infocomm Media Development Authority (IMDA) and Personal Data Protection Commission (PDPC), which administers the country's Personal Data Protection Act. The government agencies underscored the need for consumers to know AI systems were "fair, explainable, and safe", as more products and services were embedded with AI to deliver more personalised user experience or make decisions without human intervention. They also needed to be assured that organisations that deploy such offerings were accountable and transparent.


Baidu beats revenue estimates helped by AI, cloud services

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May 26 (Reuters) - China's search engine giant Baidu Inc surpassed quarterly revenue estimates on Thursday as a resurgence of COVID-19 in China and accompanying restrictions boosted demand for its cloud and artificial intelligence (AI) products. The news drove Baidu's U.S.-listed shares more than 5% up in pre-market trading even as the company cautioned that the second quarter would be more challenging. Revenue for the three months to March 31 rose 1% to 28.41 billion yuan ($4.22 billion), the slowest growth in six quarters, but topped an analysts' average estimate of 27.82 billion, IBES data from Refinitiv showed. It posted a net loss of 885 million yuan, or 2.87 yuan per American Depository Share (ADS), amid an economic downturn and pandemic resurgence in China. A year earlier it had posted a profit of 25.65 billion yuan, or 73.76 yuan per ADS.


Connectivity and AI are fast-moving trains which must be caught

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When I first started working with the Internet of Things (IoT) nearly 10 years ago I used to lead presentations with a "the world is changing, and it's changing fast" mantra. Now, with the rise of new advanced technologies driven by artificial intelligence (AI) I simply start with "nothing is going to be like yesterday!". In this increasingly connected world, it is only by looking back that you can comprehend how quickly things have changed. In 1984, when I left secondary school and the original Apple MacIntosh computer went on sale, there were only 3,000 devices connected to the internet. In 2008, the number of connected devices surpassed the number of people on the planet – at nearly seven billion.


Antimicrobial resistance with Artificial Intelligence

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Minh-Hoang Tran,1 Ngoc Quy Nguyen,2 Hong Tham Pham1,3 1Department of Pharmacy, Nhan Dan Gia Dinh Hospital, Ho Chi Minh City, Vietnam; 2Institute of Environmental Technology and Sustainable Development, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam; 3Department of Pharmacy, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam Correspondence: Hong Tham Pham, Department of Pharmacy, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam, Tel 84 919 559 085, Email [email protected] Abstract: Recent years have witnessed the rise of artificial intelligence (AI) in antimicrobial resistance (AMR) management, implying a positive signal in the fight against antibiotic-resistant microbes. The impact of AI starts with data collection and preparation for deploying AI-driven systems, which can lay the foundation for some effective infection control strategies. Primary applications of AI include identifying potential antimicrobial molecules, rapidly testing antimicrobial susceptibility, and optimizing antibiotic combinations. Aside from their outstanding effectiveness, these applications also express high potential in narrowing the burden gap of AMR among different settings around the world. Despite these benefits, the interpretability of AI-based systems or models remains vague.