Tile Redinow offers Redi Trench, an incredibly exciting marriage of design and function for the commercial construction sector, in particular for the hospitality industry.

SPRINGFIELD, MISSOURI – November 6, 2013 – International Dehydrated Foods, Inc. (IDF™),

a global leader in IDF® poultry ingredients, is continuing to bring chicken to the forefront of the

industry through innovative health and wellness applications that the company will feature at

SupplySide West.

tna, the global leader in packaging and processing solutions, has launched a new main line spray system which delivers optimum coverage and flavour adhesion. 

Event Begins: Thursday, November 14, 2024 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: Industrial & Operations Engineering

About the speaker: Courtney Paquette is an assistant professor at McGill University and a CIFAR Canada AI chair, MILA. She was awarded a Sloan Research Fellowship in Computer Science in 2024. Paquette’s research broadly focuses on designing and analyzing algorithms for large-scale optimization problems, motivated by applications in data science. She is also interested in scaling limits of stochastic learning algorithms. She received her PhD from the mathematics department at the University of Washington (2017), held postdoctoral positions at Lehigh University (2017-2018) and the University of Waterloo (NSF postdoctoral fellowship, 2018-2019), and works 20% as a research scientist at Google DeepMind, Montreal.


Abstract: Given the massive scale of modern ML models, we now only get a single shot to train them effectively. This restricts our ability to test multiple architectures and hyper-parameter configurations. Instead, we need to understand how these models scale, allowing us to experiment with smaller problems and then apply those insights to larger-scale models. In this talk, I will present a framework for analyzing scaling laws in stochastic learning algorithms using a power-law random features model, leveraging high-dimensional probability and random matrix theory. I will then use this scaling law to address the compute-optimal question: How should we choose model size and hyper-parameters to achieve the best possible performance in the most compute-efficient manner?

For more details please see attached the Request for pre-qualification.

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Please remember to put your subjects name with the last name first and provide a link in your application to their profile at imdb.com. Upcoming Actors No applications have been received since the last update.

My high-achieving high school senior was too overwhelmed to work on her college applications. I developed a plan to get her college-ready.

Arun Gopalakrishna emphasizes that effective SEO demands a holistic, adaptive approach. As search engines and user behaviors change, staying proactive is essential.

Two-and-a-half months ago Einar Vollset and I announced TinySeed, the first startup accelerator designed for bootstrappers. The response was overwhelming. Hundreds and hundreds of tweets, re-tweets, likes, Hacker News upvotes, email responses…it was immediately obvious that there is pent up demand for this kind of alternative early-stage startup funding. Previously On..TinySeed To catch you up, here’s a briefRead More →

The post TinySeed Applications Open January 18th first appeared on Rob Walling - Serial Entrepreneur.

Menzies, J; Paulen, R C. Geoconvention 2020 abstracts; 2020 p. 1-3
<a href="https://geoscan.nrcan.gc.ca/images/geoscan/20190526.jpg"><img src="https://geoscan.nrcan.gc.ca/images/geoscan/20190526.jpg" title="Geoconvention 2020 abstracts; 2020 p. 1-3" height="150" border="1" /></a>

Parent, M. Surficial geology of northern Canada: a summary of Geo-mapping for Energy and Minerals program contributions; by McMartin, I (ed.); Geological Survey of Canada, Bulletin 611, 2023 p. 201-219, https://doi.org/10.4095/331425
<a href="https://geoscan.nrcan.gc.ca/images/geoscan/gid_331425.jpg"><img src="https://geoscan.nrcan.gc.ca/images/geoscan/gid_331425.jpg" title="Surficial geology of northern Canada: a summary of Geo-mapping for Energy and Minerals program contributions; by McMartin, I (ed.); Geological Survey of Canada, Bulletin 611, 2023 p. 201-219, https://doi.org/10.4095/331425" height="150" border="1" /></a>

DHL Supply Chain has launched a significant project in the field of generative AI with the support of Boston Consulting Group (BCG).

After the sudden demonetization move from the government, a nearby working ATM is probably a top concern in minds of most people right now.

The Gaffney House, a historic property on River Road at 4515 Upper River Road that features the designs of famous Louisville architect James J. Gaffney, has been renovated and restored as of 2023. The house is now listed for short-term rentals, hourly rentals, weddings, corporate retreats, and boat or boat slip rentals.

The latest part of its Identity Cards Initiative, About Your Habitat will collect details about where you live in order to plan the best route to follow you home.

The forms add a twist to the previous techniques of claimant oppression and data-gathering: that of...

(EMAILWIRE.COM, October 28, 2024 ) The Application Modernization Services Market is estimated at USD 19.82 billion in 2024 to USD 39.62 billion by 2029 at a Compound Annual Growth Rate (CAGR) of 14.8%, according to new research report by MarketsandMarkets™ Browse in-depth TOC on “Application...

(EMAILWIRE.COM, November 05, 2024 ) An Aerostat Systems Market is an aircraft lighter than air that achieves lift with the help of a buoyant gas. Aerostat systems consist of unpowered balloons as well as powered airships. A balloon can fly freely or be anchored. Request For Free Sample Report...

Published at LXer: AAEON SRG-CM4 is an IoT gateway based on the Raspberry Pi Compute Module 4 (CM4) with 1GB to 8GB of RAM and 8GB to 32GB of eMMC storage, all powered by the Broadcom BCM2711...

New version of AW Maker application is uploaded to our website. All dictionary developers should use this version instead of the previous one.

Despite being the lingua franca of the internet, APIs remain wildly inconsistent in both their structure and documentation for developers. While the promise of APIs has largely been fulfilled, their actual usage for developers day-to-day often remains frustrating. Since an API in and of itself is just the mechanism for a service to offer access […]

The post How to Create an API for Your Application, Part 1 first appeared on Tom Markiewicz.

For the past several months I’ve been co-writing a book that was recently published by O’Reilly. Called Getting Started with Artificial Intelligence: A Practical Guide to Building Enterprise Applications, the book is currently offered by IBM as a free download. Written with Josh Zheng to introduce developers and technical managers to using artificial intelligence when […]

The post Getting Started with Artificial Intelligence: A Practical Guide to Building Applications in the Enterprise first appeared on Tom Markiewicz.

Find information on small business crm application.

Fully updated to reflect modern developments in the field, the Fifth Edition of An Introduction to Optimization fills the need for an accessible, yet rigorous, introduction to optimization theory and methods, featuring innovative coverage and a straightforward approach. The book begins with a review of basic definitions and notations while also providing the related fundamental background of linear algebra, geometry, and calculus. With this foundation, the authors explore the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization, and applications of optimization in… [Continue Reading]

Listen to this week's podcast (September 9, 2011) Patterns For Large-Scale JavaScript Application Architecture Patterns For Large-Scale JavaScript Application Architecture is a lengthy article by Addy Osmani detailing some basic principles of writing a large-scale JavaScript application. It's inspired by a classic Nicholas Zakas talk outlining some of the same principles ...

Ontology evaluation is an integral and important part of the ontology development process. Errors in ontologies could be catastrophic for the information system based on those ontologies. As per our experiments, the existing ontology evaluation systems were unable to detect many errors (like, circulatory error in class and property hierarchy, common class and property in disjoint decomposition, redundancy of sub class and sub property, redundancy of disjoint relation and disjoint knowledge omission) as defined in the error taxonomy. We have formulated efficient algorithms for the evaluation of these and other errors as per the extended error taxonomy. These algorithms are implemented (named as OntEval) and the implementations are used to evaluate well-known ontologies including Gene Ontology (GO), WordNet Ontology and OntoSem. The ontologies are indexed using a variant of already proposed scheme Ontrel. A number of errors and warnings in these ontologies have been discovered using the OntEval. We have also reported the performance of our implementation, OntEval.

This research explores vehicular ad hoc networks (VANETs) and their extensive applications, such as enhancing traffic efficiency, infotainment, and passenger safety. Despite significant study, widespread deployment of VANETs has been hindered by security and privacy concerns. Challenges in implementation, including scalability, flexibility, poor connection, and insufficient intelligence, have further complicated VANETs. This study proposes leveraging cloud computing to address these challenges, marking a paradigm shift. Cloud computing, recognised for its cost-efficiency and virtualisation, is integrated with VANETs. The paper details the nomenclature, architecture, models, services, applications, and challenges of VANET-based cloud computing. Three architectures for VANET clouds - vehicular clouds (VCs), vehicles utilising clouds (VuCs), and hybrid vehicular clouds (HVCs) - are discussed in detail. The research provides an overview, delves into related work, and explores VANET cloud computing's architectural frameworks, models, and cloud services. It concludes with insights into future work and a comprehensive conclusion.

To improve the effectiveness of online training for music education, it was investigated how to improve the pulse-coupled neural network in image processing for spectral image segmentation. The study proposes a two-scale descent method to achieve oblique spectral correction. Subsequently, a convolutional neural network was optimised using a two-channel feature fusion recognition network for music theory notation recognition. The results showed that this image segmentation method had the highest accuracy, close to 98%, and the accuracy of spectral tilt correction was also as high as 98.4%, which provided good image pre-processing results. When combined with the improved convolutional neural network, the average accuracy of music theory symbol recognition was about 97% and the highest score of music majors was improved by 16 points. This shows that the method can effectively improve the teaching effect of online training in music education and has certain practical value.

This article studies the application of artificial intelligence technology in natural resource planning and management. This article first introduces the background of NR and AI intelligent technology, then conducts academic research and summary on NR planning management and AI intelligent technology. Then, an algorithm model based on multi-objective intelligent planning algorithm is established. Finally, simulation experiments are conducted, and experiments summary and discussion are provided. The experimental results show that the average efficiency value of the four stages of NR planning and management before use is 5.25, and the average efficiency value of the four stages of NR planning and management after use is 7. The difference in the average efficiency value before and after use is 1.75. It can be seen that the use of AI intelligent technology can effectively improve the efficiency of natural resource planning and management.

Intelligent digital virtual technology has become an indispensable part of modern construction, but there are also some problems in its practical application. Therefore, it is necessary to strengthen the design of intelligent building image processing systems from many aspects. Starting from image digital processing methods, this paper studies the digital twin virtual design scene construction method and related algorithms, converts the original image into a colour digital image through a greyscale algorithm, and then combines morphological knowledge and feature point extraction methods to complete the construction of a three-dimensional virtual environment. Finally, through the comparison of traditional image processing effects with smart building images based on digital twins and BIM technology, the results show that the optimised image processing results have higher clarity, sharper contrast, and a sensitivity increased by 5.84%, presenting better visual effects and solving the risk of misjudgement caused by inaccurate image recognition.

Aim/Purpose: To examine the early perceptions (acceptability) and usability of EASEL (Education through Application-Supported Experiential Learning), a mobile platform that delivers reflection prompts and content before, during, and after an experiential learning activity. Background: Experiential learning is an active learning approach in which students learn by doing and by reflecting on the experience. This approach to teaching is often used in disciplines such as humanities, business, and medicine. Reflection before, during, and after an experience allows the student to analyze what they learn and why it is important, which is vital in helping them to understand the relevance of the experience. A just-in-time tool (EASEL) was needed to facilitate this. Methodology: To inform the development of a mobile application that facilitates real-time guided reflection and to determine the relevant feature set, we conducted a needs analysis with both students and faculty members. Data collected during this stage of the evaluation helped guide the creation of a prototype. The user experience of the prototype and interface interactions were evaluated during the usability phase of the evaluation study. Contribution: Both the needs analysis and usability assessment provided justification for continued development of EASEL as well as insight that guides current development. Findings: The interaction design of EASEL is understandable and usable. Both students and teachers value an application that facilitates real-time guided reflection. Recommendations for Practitioners: The use of a system such as EASEL can leverage time and location-based services to support students in field experiences. This technology aligns with evidence that guided reflection provides opportunities for metacognition. Recommendation for Researchers: Iterative prototyping, testing, and refinement can lead to a deliberate and effective app development process. Impact on Society: The EASEL platform leverages inherent functionality of mobile devices, such as GPS and persistent network connectivity, to adapt reflection tasks based on lo-cation or time. Students using EASEL will engage in guided reflection, which leads to metacognition and can help instructors scaffold learning Future Research: We will continue to advance the application through iterative testing and development. When ready, the application will be vetted in larger studies across varied disciplines and contexts.

Aim/Purpose: This study explores the subject structure, social networks, research trends, and issues in the domain that have the potential to derive an overview of the development of virtual reality-based learning media in vocational education. Background: Notwithstanding the increasingly growing interest in the application of virtual reality in vocational learning, the existing research literature may still leave out some issues necessary for a comprehensive understanding. This study will point out such areas that need more exploration and a more comprehensive synthesis of the literature by conducting a bibliometric analysis. It will be interesting to keep track of the changing concepts and methodologies applied in the development of VR-based learning media in vocational education research. Methodology: This review was carried out using bibliometric methodology, which can highlight patterns of publication and research activity in this hitherto little studied area. The results of the study have the potential to lead to evidence-based priority in VR development, which will tailor work for vocational contexts and set the compass against the growing worldwide interest in this area. The study provides a descriptive analysis of publications, citations, and keyword data for 100 documents published between the years 2013 and 2022 from the Scopus database, which is conducted to illustrate the trends in the field. Contribution: This study also counts as a contribution to understanding the research hotspots of VR-based learning media in vocational education. Through bibliometric analysis, this study thoroughly summarized the relevant research and literature laying a knowledge foundation for researchers and policy makers. Additionally, this analysis identified knowledge gaps, recent trends, and directions for future research. Findings: The bibliometric analysis revealed the following key findings: 1. A growing publication trajectory, with output increasing from 7 articles in 2013 to 25 articles in 2022. 2. The United States led the contributions, followed by China, and Germany. 3. The most prominent authors are affiliated with American medical institutions. 4. Lecture proceedings include familiar sources that reflect this nascent domain. 5. Citation analysis identified highly influential work and researchers. 6. Keyword analysis exposed technology-oriented topics rather than learning-oriented terms. These findings present an emerging landscape with opportunities to address geographic and pedagogical research gaps. Recommendations for Practitioners: This study will be beneficial for designers and developers of VR-based learning programs because it aligns with the most discussed and influential VR technologies within the literature. Such an alignment of an approach with relevant research trends and focus can indeed be very useful for the effective application and use of VR-based learning media for quality improvements in vocational students' learning. Recommendation for Researchers: In fact, in this bibliometric review of VR integration within vocational classrooms, a future call for focused research is presented, especially on teaching methods, course design, and learning impact. This is a framework that seeks to establish its full potential with effective and integrated use of VR in the various vocational curricula and settings of learners. Impact on Society: From the findings of the bibliometric analysis, it is evident that virtual reality technologies (VR) have significantly led to transformation within educational media. There is no denying that the growing interest and investment in the integration of virtual reality into vocational education has been well manifested in the substantive increase in publications in the last decade. This shows what the innovation driving factor is in the United States. At the same time the rapid contributions from China signal worldwide recognition of the potential of VR to improve technical skills training. This study points the way for more research to bridge critical gaps, specifically how VR tools can be used in vocational high school classrooms. Furthermore, research should be aligned to meet specific needs of vocational learners and even promote international cross-border partnerships, pointing out the potential of virtual reality to be a universally beneficial tool in vocational education. The examination of highly cited articles provides evidence of the potential of VR to be an impactful pedagogical tool in vocational education. The findings suggest that researchers need to move forward looking at the trajectory of VR in vocational education and how promising it is in defining the future for innovative and effective learning methodologies. Future Research: This study is an exceptionally valuable contribution, a true landmark in the field of dynamic development, and one that denotes very meaningful implications for the future course of research in the dynamically developing field of bibliometric analysis of VR-based learning media for vocational education. The increase in the number of publications emanates from growing interests in the application of virtual reality (VR) technologies in vocational education. The high concentration of authorship from the USA, along with the ever increasing contributions from China, spotlights the increasing worldwide recognition of the impact of immersive technologies in the enhancement of training in technical skills. These are emerging trends that call for research to exemplify the diverse views and global teamwork opportunities presented by VR technologies. The study also highlights critical areas that need focused attention in future research endeavors. The fact that the embedding of VR tools into classrooms in vocational high schools has been poorly researched points to the major gap in pedagogical research within authentic educational settings. Therefore, further investigations should evaluate teaching methods in VR, lesson designs, and the impacts of VR in specific vocational trades. This supports the need for learner-centered frameworks that are tailor-made to the needs of vocational learners. This calls for more direct and focused investigations into identified research gaps noting a growing dominance in the field of health-related research with the most cited articles in this field, to integrate virtual reality into additional vocational education contexts. In this way, the gaps present an opportunity for researchers to make significant contributions to the development of interventions responsive to the unique needs of vocational learners; this will contribute to strengthening the evidence base for the worldwide implementation of VR within vocational education systems. This was recommended as the intention of such a bibliometric analysis: supporting the potential of VR as a pedagogical tool in vocational contexts and providing grounding for a strong and focused future research agenda within this burgeoning area of educational technology.

Action recognition plays a vital role in analysing human body behaviour and has significant implications for research and education. However, traditional recognition methods often suffer from issues such as inaccurate time and spatial feature vectors. Therefore, this study addresses the problem of inaccurate recognition of aerobic gymnastics action image data and proposes a visualised three-dimensional convolutional neural network algorithm-based action recognition model. This model incorporates unsupervised visualisation methods into the traditional network and enhances data recognition capabilities through the introduction of a random noise perturbation enhancement algorithm. The research results indicate that the data augmented with noise perturbation achieves the lowest mean square error, reducing the error value from 0.3352 to 0.3095. The use of unsupervised visualisation analysis enables clearer recognition of human actions, and the algorithm model is capable of accurately recognising aerobic movements. Compared to traditional algorithms, the new algorithm exhibits higher recognition accuracy and superior performance.

With the rapid development of Artificial Intelligence (AI) technology, significant breakthroughs have been made in its application in many fields. Especially, in the field of enterprise human resource management and employee performance evaluation, AI has demonstrated its powerful ability to optimise and improve performance. This study explores the application of AI in enterprise human resource management and how to use AI to evaluate employee performance. The research includes analysing and comparing existing AI-driven human resource management models, evaluating how AI can help improve employee performance and leadership styles, and designing and developing human resource management computer systems for enterprise employees. Through empirical research and case analysis, this study proposes a new AI-optimised employee performance evaluation model and explores its application and effect in practice. In general, the application of AI can improve the efficiency and accuracy of enterprise human resource management, and provide new possibilities for employee performance evaluation. At present, artificial intelligence technology has been widely used in various fields of daily life, especially in corporate human resource management, providing better support for the development of enterprises.