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The article focuses on the integration of artificial intelligence (AI) into engineering processes, particularly in the development of engineering drawings, aiming to enhance efficiency and accuracy. Topics include the crucial role of engineering diagrams like block flow diagrams: process flow diagrams: and the potential of AI tools in automating drafting procedures for P&IDs, improving collaboration, and streamlining workflows.

Architect Neil Leach, who directs the Doctor of Design program at Florida International University, is among the bleakest prognosticators of an AI-driven future. In a March 2023 report, Goldman Sachs predicted that AI could replace as many as 300 million jobs across all industries globally and estimated that 37 percent of tasks within architecture and engineering could be automated by AI. FORUM OVER THE PAST YEAR, the exponential proliferation of artificial intelligence - powered technologies has turned an anxious whisper into a blaring claxon of existential crisis. [Extracted from the article]

The article discusses the use of an artificial intelligence (AI) screening tool by Nebraska Medicine to provide better care for its patients with diabetes. Topics discussed include benefits of using the AI screening tool to Nebraska Medicine, the work of cloud-based AI solution in tandem with fundus cameras, and comments from Dr. Stephen Mohring, medical director for patient-centered medical home and population health at Nebraska Medicine.

The article shares perspectives from executives at technology company Nvidia on transformations across industries amid accelerated rollout of artificial intelligence (AI) in 2024. Bob Pete sees generative AI to allow organizations to design cars by speaking to a large language model. Richard Kerris predicts the democratization of development of applications or services. Xinzhou Wu projects the modernization of vehicle production lifecycle and breakthroughs in autonomous vehicle development.

Hammerspace has released its Hammerspace Hyperscale NAS, which is now available with NVIDIA GPUDirect Storage support. This technology is designed to meet the demands of training large language models and other deep learning applications that require access to massive amounts of data and high-performance GPU clusters. Hammerspace software allows organizations to unify unstructured data sets for AI training by making data available to different models, applications, and compute clusters. The addition of NVIDIA GPUDirect Storage support enables faster data access and allows any storage system to be presented as GPUDirect Storage via Hammerspace. Hammerspace has also joined the NVIDIA Inception program, which supports startups in developing and deploying their products. [Extracted from the article]

The article discusses the use of AI-powered computer vision technology in the power industry for utility inspection and maintenance. It highlights the challenges faced by the industry, such as aging infrastructure and labor shortages, and the risks associated with insufficient maintenance. The article explains how computer vision, a form of artificial intelligence, can help address these challenges by quickly analyzing and learning from images and videos. It provides examples of computer vision applications, such as using drones for nuclear power inspections and solar panel inspections. The article concludes by discussing the barriers and solutions to widespread adoption of computer vision technology in the industry. [Extracted from the article]

The article discusses about the application of exponential signals in nuclear magnetic resonance (NMR) spectroscopy and the use of machine learning in NMR applications. It highlights the significance of NMR spectroscopy in various fields and how exponential functions are used to model NMR signals. The article also mentions the role of machine learning in processing NMR signals and its impact on the development of NMR spectroscopy.

An interview with Sumitrajit Dhar, a professor and keynote speaker at the Researcher-Academic Town Meeting at the American Speech-Language-Hearing Association (ASHA) Convention, is presented about his vision for artificial intelligence (AI) use in communication sciences and disorders (CSD) education and research. Dhar talks about the reason for so much attention about generative AI, whether instruction about generative AI belongs in the curriculum, and how AI can enhance work efficiency.

The article focuses on the growing interest in Artificial intelligence (AI), particularly generative AI like ChatGPT, and its increasing importance across various business sectors. It discusses the potential applications of AI technologies in knowledge sharing, highlights the growth of the global AI market, and emphasizes the significance of AI within organizations, spanning marketing, customer service, legal, finance, and more.

The article discusses the evolution of automation architecture and the drivers behind it. The Chief Technology Officer at Emerson, Peter Zornio, explains that the current automation architecture has remained largely unchanged since the 1990s and that it is time to take advantage of advancements in IT computing, such as the cloud and analytics. Boundless automation, which involves integrated data and contextualized analytics, can be adopted for both new construction and existing operations. Technical differences in this architecture include new field connectivity technology and the use of wireless devices. The article also highlights the importance of unified data and the relationship between artificial intelligence (AI) and boundless automation. Ultimately, the goal is to make data more accessible and convert it into actionable insights. [Extracted from the article]

The article explores the potential impact of artificial intelligence (AI) on music production. Topics discussed are application of deep learning algorithms in music making such as the Aiva subscription-based music engine, machine learning tools such as the Orb Plugins Prducer Suite 3 used to aid musical composition, and AI-driven software, platforms and apps which assist music-making workflows.

The article discusses the rise of generative AI, focusing on ChatGPT developed by OpenAI. It explores three ways educators can utilize generative AI in teaching, including using it as an ideation assistant, as a tool for code review, and as part of an adapted Socratic method for critical thinking. It mentions the potential of generative AI to revolutionize education and improve learning outcomes while addressing ethical considerations and limitations.

Raman spectroscopy can characterize size-related properties of semiconductor nanomaterials according to the change of Raman shift. When limited to physical mechanisms, it is often difficult to predict the size dependent Raman shift of semiconductor nanomaterials. To predict the size-dependent Raman shift more accurately and efficiently, a simple and effective method was created, demonstrated, and achieved via the deep learning model. The deep learning model is implemented by multilayer perceptron. For size-dependent Raman shifts of three common semiconductor nanomaterials (InP, Si, CeO2), the prediction error was 1,47%, 1,18%, and 0.58%, respectively. The research has practical value in material characterization and related engineering applications, where physical mechanisms are not the focus and building predictive models quickly is key. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) is a subfield of computer science (IT). International scientists and professional associations such as ISRRT or EFRS emphasize that AI can significantly influence the profession of radiographer and thus also the way radiographers will work in the future. Therefore, it seems important that radiographer/MTR expand their competence in the field of computer science in addition to their professional competence. The following article concludes the series on AI. The most important points should be discussed again. [ABSTRACT FROM AUTHOR]

The article offers suggestions for conferencing systems including DICENTIS Flush from Bosch, Videobar VB-S from Bose, and UNITE 60 from ClearOne.

The article focuses on the integration of artificial intelligence (AI) into railway operations in China and globally, aiming to enhance efficiency, safety, and customer experience. It mentions despite historical industry hesitancy toward technology adoption, increasing AI patent applications by rail firms and reports from organizations like the International Union of Railways (UIC) and McKinsey indicate a growing acceptance of AI-driven solutions.

Artificial intelligence (AI) is a subfield of computer science (CS). International scientists and Radiographer associations agree that AI will have a significant impact on the Radiographer profession and fundamentally change the way how Radiographer work. Therefore, it is important that Radiographers enhance their competence in the field of computer science in addition to their professional competence. There is a need for Radiographers to engage with CS in order to develop a fundamental understanding of AI so that they can integrate this into their work processes in a useful way. In the following article, we would like to give you further insights into machine learning and deep learning. [ABSTRACT FROM AUTHOR]

The article offers information on focus on artificial intelligence (AI) which is key in transforming various sectors crucial to the Africa's prosperity. Topics include information on opportunity new Africa represents; use of AI and smart technology in development of country; and use of data and solutions that can change lives in health, education, deep tech, research, fintech, agritech and climate change.

According to a new report from research firm IDC, spending on artificial intelligence (AI) is expected to more than double to $632 billion by 2028, growing at a rate of 29% annually. The financial services industry, particularly banking, is projected to spend the most on AI, followed by software and information services and retail. The industries with the fastest AI spending growth are business and personal services, as well as transportation and leisure. The growth in spending is driven by the incorporation of AI, particularly generative AI (genAI), into various products. While genAI has gained attention, it will only account for one-third of spending on AI applications. Software will be the largest category of AI technology spending, and the United States is expected to be the largest geographic region for AI investment. Two-thirds of software spending will go towards AI-enabled applications and platforms. The demand for AI platform software is projected to grow 40% annually over the next four years. The report also highlights that industry-specific AI use cases will account for 27% of total spending, with customer service, IT operations, and sales expected to see accelerated AI investment. [Extracted from the article]

Nvidia, a technology company, reportedly collected large amounts of data from YouTube without permission to train its artificial intelligence (AI) models. The data was used to train various AI models, including one for automated driving, a human-like AI avatar, and a tool for building 3D worlds. This data collection raises ethical and legal concerns, as YouTube's terms of use prohibit the use of its data without permission. Nvidia is already facing legal action for alleged copyright violations. [Extracted from the article]

The article discusses a study conducted by Dominic J. Williamson, Robbert R. Struyven, and their colleagues which explored the role of artificial intelligence (AI) in clinical trial recruitment of individual with geographic atrophy (GA). Topics include a significant obstacle in clinical trials, main outcome measure, and the potential of AI to streamline the clinical trial process.

Artificial intelligence (AI) is a subfield of computer science (CS). International scientists and Radiographer associations agree that AI will have a significant impact on the Radiographer profession and fundamentally change the way how Radiographer work. There - fore, it is important that Radiographers enhance their competence in the field of computer science in addition to their professional competence. There is a need for Radiographers to engage with CS in order to develop a fundamental understanding of AI so that they can integrate this into their work processes in a useful way. In the following article, we would like to give you an insight into machine learning and deep learning. [ABSTRACT FROM AUTHOR]

The article lists organization that have adopted Artificial Intelligence and provide AI-based services including Accenture, a global professional services company; Adobe, a multinational software company; and EPAM Systems, a digital transformation services and product engineering company;.

The article focuses on the integration of artificial intelligence (AI) tools, particularly generative AI (GenAI), into knowledge management (KM) practices. Topics discussed include the historical role of AI in KM, the symbiotic relationship between KM and AI, and the challenges and opportunities presented by AI technologies in enhancing knowledge sharing and management within organizations.

The industry is looking at ways to interweave technologies that will enable doctors to treat more patients and to improve "deal flow and dollars" that deliver healthcare more efficiently and remotely, Lafayette explained. The MedTech industry is actively turning to artificial intelligence and the study of deep medicine for ways to operate virtually, in hyper-realistic, immersive and simulated environments. But while advanced technologies mean definitive changes for the industry, Lafayette advised manufacturers to be cautious with budgets, as the tools available to create a digital twin today will likely be outdated within the next 12 to 24 months. [Extracted from the article]

The article discusses the high demand for individuals with expertise in training deep generative AI (genAI) large language models (LLMs) and rectifying genAI problems. Companies are willing to pay over $1 million in salary, bonus, and stock options to experienced individuals in this field. The competition for genAI talent extends beyond companies like Meta and Google, with start-ups, large corporations, and even whole countries seeking the best AI talent. However, there is a shortage of qualified individuals, and companies need to invest in upskilling and training programs to close the AI skills gap. [Extracted from the article]

According to reports from CompTIA, the tech industry in the US has seen growth in employment, with job growth led by new hiring in technology services, software development, cloud infrastructure, and related positions. The unemployment rate for tech occupations has decreased, and there are a variety of paths to a job in technology, with many job postings not requiring a four-year degree. The states with the highest volumes of tech job postings are California, Texas, and Virginia, and the most active metro areas are Washington, New York, Dallas, Chicago, and Boston. The demand for AI and machine learning skills remains high, and there is a global talent shortage in the tech industry. However, there have been recent layoffs in the tech sector, and the job market is stabilizing. The IT job market has seen fluctuations, but overall, the industry is growing and employers are actively hiring. The highest paid tech workers are engineering managers, and specialized engineers in AI, cybersecurity, data, and back-end engineering are in high demand. The tech industry has seen stable hiring throughout the year, but there is a shortage of available tech talent to fill job openings. Organizations in the IT industry have optimistic hiring plans, but there is a lack of available talent. The tech sector has added jobs every month for the past two years, but concerns over the health of the economy and inflation persist. The tech industry has experienced steady hiring growth for the past two years, but tech job postings had been declining until recently. The tech industry [Extracted from the article]

Efficiency and accuracy are major bottlenecks in conducting ecological surveys and acquiring statistical data concerning grassland desertification. Traditional manual ground-based surveys are inefficient, and aerospace-based remote sensing surveys are limited by low spatial resolution and accuracy. In this study, we propose a low-altitude unmanned aerial vehicle (UAV) hyperspectral visible near-infrared (vis-NIR) remote sensing hardware platform, which combines efficiency and accuracy for high-precision remote sensing-based ecological surveys and statistical data collection on grassland desertification. We use the classical deep learning network models VGG and ResNet and their corresponding improved 3D convolutional kernels: 3D-VGG and 3D-ResNet, respectively, to classify the collected data into features. The results show that the two classical models yield good results for vegetation and bare soil in desertified grasslands, and the 3D models yield superior classification results for small sample features. Our results can serve as benchmarks for hardware integration and data analysis for remote sensing-based grassland desertification research and lay the foundation for further finer classifications and more accurate statistics of features. [ABSTRACT FROM AUTHOR]

The article discusses the impact and significance of Artificial Intelligence system in the field of Electronic warfare (EW) technologies to execute military missions and modernize military weapons. It mentions use of machine learning and deep learning for the development of cognitive EW which focuses on ability to detect and categorize signals for countermeasures. It also mentions countermeasures development process of radars.

It is essential to use deep learning algorithms for big data to implement a new generation of artificial intelligence. The effective use of deep learning methods depends largely on the number of samples. This work proposes a method combining the Wasserstein generative adversarial network (WGAN) with the specific deep learning model (ResNeXt) network to achieve data enhancement and classification of the Fourier transform infrared (FT-IR) spectra of strawberries. In this method, the data are first preprocessed using convolution, the FT-IR spectral data are augmented by WGAN, and the data are finally classified using the ResNeXt network. For the experimental investigation, 10 types of dimensionalityreduction algorithms combined with nine types of classification algorithms were used for comparing and arranging the 90 groups. The results obtained from these experiments prove that our method of using a combination of WGAN and ResNeXt is highly suitable for the classification of the IR spectra of strawberries and provides a data augmentation idea as a foundation for future research. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) and machine learning (ML) technologies are pervasive in our daily life empowering devices ranging from smart speakers to thermostats, self driving cars to robots and social networks to banking systems. 1 A wide band Doherty power amplifier 8 and its modified version for dual-input Doherty power amplifier. Combined with innovative hardware design, AI and ML can become a powerful tool to assist RF engineers dealing with sophisticated PAs design and operating challenges. [Extracted from the article]

Generative artificial intelligence (genAI) is becoming a highly sought-after skill in the job market, according to a study by freelance employment platform Upwork. GenAI is expected to transform the way people work by automating mundane tasks and allowing professionals to focus on more creative work. Skills-based hiring, which emphasizes work experience and certifications over college degrees, is becoming more prevalent. Soft skills, such as communication and adaptability, are also highly valued by employers. Companies like Boeing, Walmart, and IBM are implementing skills-based practices. Online learning platforms like Udemy and Coursera have seen a surge in enrollments for genAI courses. [Extracted from the article]

Microsoft has announced that its generative AI-powered chatbot, Copilot, will now be accessible on two new laptops optimized for AI tools. Copilot, which was launched a year ago, allows users to get answers to queries, draft emails, generate images from text prompts, and more. The company also unveiled two new AI-enabled Surface for Business laptops, the Surface Pro 10 for Business and the Surface Laptop 6 for Business. These laptops have a Copilot key on the keypad for quick access to the chatbot. Microsoft's Copilot announcements primarily focus on the commercial and enterprise Surface models. [Extracted from the article]

According to a report from employment website Indeed, generative artificial intelligence (genAI) is the highest-paid IT skill, with an average salary potential of $174,727. The top three highest-paid skills in tech are genAI, system-on-a-chip (SoC), and deep learning, each commanding an annual salary above $170,000. Half of the highest-paid skills in tech are AI-specific, indicating that job seekers with AI talent can stand out in a competitive job market and earn more. The tech industry is changing rapidly, and workers need to be adaptable as AI continues to impact the world of work. [Extracted from the article]

OpenAI has developed a new generative AI model called Sora, which can generate realistic videos based on text prompts. Sora can create complex scenes with multiple characters and accurate details, enhancing storytelling and democratizing video production. However, the technology also raises ethical concerns, such as copyright infringement and the creation of convincing deepfakes. OpenAI's Sora appears to be more powerful than Google's video generation models, offering higher resolutions and longer video lengths. While startups may bring innovation, OpenAI's funding from companies like Microsoft could allow them to quickly catch up and potentially surpass competitors. [Extracted from the article]

Apple is reportedly planning to acquire German firm brighter AI, which specializes in generative AI for privacy. The company's technology anonymizes images and videos, allowing companies to use recorded camera data for analytics and AI without violating privacy laws. This acquisition aligns with Apple's focus on privacy and its mission with visionOS, as the company aims to ensure its systems don't gather unnecessary information. The technology could also have implications for data grading, copyright, and future use in Apple's products. [Extracted from the article]

The article evaluates the graphical networks for material exploration (GNoME) from Google DeepMind.

The article discusses the integration of artificial intelligence (AI) into engineering processes, highlighting its efficiency and impact on decision-making. It emphasizes the need for users to maintain the rigor of the engineering profession's quality management system when utilizing AI technologies. It includes AI's role in accessing information for project locations and solving complex mathematical problems.

The article focuses on the Artificial Intelligence-Based Control Algorithms. Topics discussed include attended a virtual lunch-and-learn presentation, read an article, or had a discussion with a controls sales representative in which the topic was a chilled water plant optimization solution that uses some sort of cloud-based machine learning (ML) algorithms; and the ML algorithms that the aforementioned optimization solution used.

The article focuses on how intelligent search, content analytics, and large language models, particularly in the context of generative Artificial intelligence (AI), are revolutionizing support processes in Customer Service, Human Resource Management, and Maintenance. It highlights how these technologies can streamline ticket management, enhance self-service, and provide proactive insights, ultimately improving employee and customer engagement in these functional areas.

The article reports on the release by the U.S. Department of Defense (DOD) of its Small Business Innovative Research (SBIR) research for fiscal year 2022 (FY2022), particularly on electromagnetic spectrum operations (EMSO)-related capabilities. Among the tackled areas are artificial intelligence/machine learning (AI/ML) for radio frequency (RF) modulation recognition, and RF applications of deep learning.

The article discusses the emergence of artificial intelligence (AI) as a powerful solution the challenges in the cement industry. Topics include main developments that contribute to the growth of AI according to Sanjit Shewale, head of digital for process industries at ABB, challenges that AI faced in the cement industry, and benefits of AI including improving energy management and optimizing process performance.

The article discusses the value of the enterprise search technology. It mentions that the technology allows users to find information and provide content to automated systems. The advantages of the Sinequa Intelligent Search platform selected by Takeda Pharmaceutical Co. as an enterprise search engine are described. It attributes the undervaluation of enterprise search capability to the lack of clear return on investment (ROI).