Fr. Gregory says that we don't need a New Year's resolution but rather a New Year's revolution.

Fr. Gregory says that St. Peter in Lydda should have taken the trouble to visit Joppa to raise Dorcas from the dead shows the importance that the early Church gave to the plight of widows.

Morocco-born Abdelatif Benazzi wants to be new man in charge of global rugby, promising to tear up the sport's old order and tap into new markets.

In the competitive landscape of globalised markets, businesses must prioritise cost reduction for sustained competitiveness. This study delves into the dynamic facility layout problem (DFLP) within a cable production company in Kerala, emphasising adaptability to changing production demands. Addressing material handling costs and rearrangement expenses, the research evaluates the efficacy of the current static layout and explores the benefits of transitioning to a dynamic layout. The case study reveals potential cost savings through the strategic restructuring of machine arrangements. The innovative machine learning-based genetic algorithm (ML-GA) integrates machine learning algorithms, genetic algorithms, and a local search method, offering a cutting-edge solution to dynamic facility layout challenges. By considering demand variability and relocation costs, the study provides insights for informed decision-making, emphasising the significance of material flow patterns. This research contributes to enhancing efficiency and profitability, providing practical implications for businesses navigating the complexities of modern manufacturing.

Aim/Purpose: Accurate detection of vacant parking spaces is crucial for autonomous parking. Deep learning, particularly Graph Neural Networks (GNNs), holds promise for addressing the challenges of diverse parking lot appearances and complex visual environments. Our GNN-based approach leverages the spatial layout of detected marking points in around-view images to learn robust feature representations that are resilient to occlusions and lighting variations. We demonstrate significant accuracy improvements on benchmark datasets compared to existing methods, showcasing the effectiveness of our GNN-based solution. Further research is needed to explore the scalability and generalizability of this approach in real-world scenarios and to consider the potential ethical implications of autonomous parking technologies. Background: GNNs offer a number of advantages over traditional parking spot detection methods. Unlike methods that treat objects as discrete entities, GNNs may leverage the inherent connections among parking markers (lines, dots) inside an image. This ability to exploit spatial connections leads to more accurate parking space detection, even in challenging scenarios with shifting illumination. Real-time applications are another area where GNNs exhibit promise, which is critical for autonomous vehicles. Their ability to intuitively understand linkages across marking sites may further simplify the process compared to traditional deep-learning approaches that need complex feature development. Furthermore, the proposed GNN model streamlines parking space recognition by potentially combining slot inference and marking point recognition in a single step. All things considered, GNNs present a viable method for obtaining stronger and more precise parking slot recognition, opening the door for autonomous car self-parking technology developments. Methodology: The proposed research introduces a novel, end-to-end trainable method for parking slot detection using bird’s-eye images and GNNs. The approach involves a two-stage process. First, a marking-point detector network is employed to identify potential parking markers, extracting features such as confidence scores and positions. After refining these detections, a marking-point encoder network extracts and embeds location and appearance information. The enhanced data is then loaded into a fully linked network, with each node representing a marker. An attentional GNN is then utilized to leverage the spatial relationships between neighbors, allowing for selective information aggregation and capturing intricate interactions. Finally, a dedicated entrance line discriminator network, trained on GNN outputs, classifies pairs of markers as potential entry lines based on learned node attributes. This multi-stage approach, evaluated on benchmark datasets, aims to achieve robust and accurate parking slot detection even in diverse and challenging environments. Contribution: The present study makes a significant contribution to the parking slot detection domain by introducing an attentional GNN-based approach that capitalizes on the spatial relationships between marking points for enhanced robustness. Additionally, the paper offers a fully trainable end-to-end model that eliminates the need for manual post-processing, thereby streamlining the process. Furthermore, the study reduces training costs by dispensing with the need for detailed annotations of marking point properties, thereby making it more accessible and cost-effective. Findings: The goal of this research is to present a unique approach to parking space recognition using GNNs and bird’s-eye photos. The study’s findings demonstrated significant improvements over earlier algorithms, with accuracy on par with the state-of-the-art DMPR-PS method. Moreover, the suggested method provides a fully trainable solution with less reliance on manually specified rules and more economical training needs. One crucial component of this approach is the GNN’s performance. By making use of the spatial correlations between marking locations, the GNN delivers greater accuracy and recall than a completely linked baseline. The GNN successfully learns discriminative features by separating paired marking points (creating parking spots) from unpaired ones, according to further analysis using cosine similarity. There are restrictions, though, especially where there are unclear markings. Successful parking slot identification in various circumstances proves the recommended method’s usefulness, with occasional failures in poor visibility conditions. Future work addresses these limitations and explores adapting the model to different image formats (e.g., side-view) and scenarios without relying on prior entry line information. An ablation study is conducted to investigate the impact of different backbone architectures on image feature extraction. The results reveal that VGG16 is optimal for balancing accuracy and real-time processing requirements. Recommendations for Practitioners: Developers of parking systems are encouraged to incorporate GNN-based techniques into their autonomous parking systems, as these methods exhibit enhanced accuracy and robustness when handling a wide range of parking scenarios. Furthermore, attention mechanisms within deep learning models can provide significant advantages for tasks that involve spatial relationships and contextual information in other vision-based applications. Recommendation for Researchers: Further research is necessary to assess the effectiveness of GNN-based methods in real-world situations. To obtain accurate results, it is important to employ large-scale datasets that include diverse lighting conditions, parking layouts, and vehicle types. Incorporating semantic information such as parking signs and lane markings into GNN models can enhance their ability to interpret and understand context. Moreover, it is crucial to address ethical concerns, including privacy, potential biases, and responsible deployment, in the development of autonomous parking technologies. Impact on Society: Optimized utilization of parking spaces can help cities manage parking resources efficiently, thereby reducing traffic congestion and fuel consumption. Automating parking processes can also enhance accessibility and provide safer and more convenient parking experiences, especially for individuals with disabilities. The development of dependable parking capabilities for autonomous vehicles can also contribute to smoother traffic flow, potentially reducing accidents and positively impacting society. Future Research: Developing and optimizing graph neural network-based models for real-time deployment in autonomous vehicles with limited resources is a critical objective. Investigating the integration of GNNs with other deep learning techniques for multi-modal parking slot detection, radar, and other sensors is essential for enhancing the understanding of the environment. Lastly, it is crucial to develop explainable AI methods to elucidate the decision-making processes of GNN models in parking slot detection, ensuring fairness, transparency, and responsible utilization of this technology.

This article is part of the 2024 BCLT-BTLJ-CMTL Symposium.  Leo Yu The national security concerns surrounding TikTok appear straightforward: it is China. To many policymakers and scholars, the mere connection to China warrants severe measures, including either divestment to an American firm or a complete shutdown. What renders China’s involvement ...

The post TikTok and the Control over the Means of Production in the Fourth Industrial Revolution appeared first on Berkeley Technology Law Journal.

The new technology could potentially reduce the weight of laptops by half, make mobile phones as thin as a credit card

A new report "A world that counts - Mobilising the Data Revolution for Sustainable Development" was recently published. The document points out the need for globally available and freely accessible data to monitor progress of Sustainable Development Goals (SDGs), to hold governments accountable and foster sustainable development. This issue needs to be solved in a timely manner, as the gaps between developed and developing countries, between information-rich and information-poor people are increasing. Furthermore, better integrated, timely and validated information can lead to better decision-making and real-time feedback to the citizens. However, still some challenges remain, and the report points out recommendations to overcome existing limitations (countries have poor data, data arrives too late, many issues are barely covered), e.g. through a global "Network of Data Innovation Networks" that connects both organizations and experts. 

The report was written by UN-IAEG, which is the United Nations Secretary-General’s Independent Expert Advisory Group on a Data Revolution for Sustainable Development and is available online here: http://www.undatarevolution.org/wp-content/uploads/2014/11/A-World-That-Counts.pdf

Local officials are racing against the clock to intervene and save Ingersoll’s Ordinary before more than three centuries of Danvers history is lost for good.

The post This North Shore home has ties to the Salem witch trials and American Revolution. Officials say it’s now ‘rotting’ away. appeared first on Boston.com.

The pandemic has made it clear that parents are walking a tightrope with no safety net. We talk to parents about how they want to change the system, what it's like to raise black boys in a time of racial injustice, and how we might learn from ancient cultures to improve our parenting skills.

Original Air Date: May 22, 2021

Guests:

Alissa Quart — Brittany Powell — Michaeleen Doucleff — Amaud Jamaul Johnson — Cherene Sherrard

Interviews In This Hour:

A Parenting Movement Emerges From the Pandemic — Modern Parenting Tips From Ancient Civilizations — Two Poets On Raising Black Teenage Boys In America

Further Reading:

Economic Hardship Reporting Project

Never want to miss an episode? Subscribe to the podcast.

Want to hear more from us, including extended interviews and favorites from the archive? Subscribe to our newsletter.

There is a lot to be said for radical change, but opting for evolution instead can have greater benefits

How does low embodied carbon steel framing differ from traditional steel framing?

It was introduced last year and has the potential to transform donor behaviour. But are charities ready for open banking? Liam Kay reports

Mark McCall, Chair of the TMA AVS-01 Committee, explains the collaborative effort between the alarm industry and public safety professionals and how the new standard aims to refine alarm notifications and the quality of alarm information.

Learn how Showroom Pricing, founded by Kristen Stensby, offers QR code-driven solutions for flooring retailers, enabling real-time pricing updates and comprehensive data reports. 

As companies seek to enhance precision, increase efficiency and reduce costs, AI-driven computer numerical control (CNC) machining is emerging as a game-changing innovation.

By embracing TSN, food and beverage companies not only improve their OEE but also set the stage for a future where production lines are not just automated but intelligently interconnected and extremely flexible.

The fully continuous, automated and chilled dough substrate processing system reduces manufacturing costs and can produce  range of plant-based meat products at volumes of 2,500-5,000 lb./hr. on a single processing line.

With the release of Skillet's latest album, "Revolution," lead singer John Cooper is more impassioned than ever, sounding an alarm over what he sees as a pivotal moment in America’s history. 

With statues coming down around the country in the wake of the Black Lives Matter movement, NHPR’s Sean Hurley recently heard about one town in New Hampshire that is considering putting one up.

By Brad Hyett, CEO at phos.

SoftPoS, also known as Software Point of Sale, is a software-based solution enabling merchants to convert their NFC-enabled smartphones or tablets into functional payment terminals.

By Ryan Edwards, freelance writer.

Omnichannel is one of the most effective retail strategies for engaging customers, driving sales, and building lasting relationships. A way to strengthen this game-changing approach is the revolutionary power of Artificial Intelligence (AI).

The use of biologic and targeted therapies for children with juvenile idiopathic arthritis (JIA) surpassed more typical therapies in recent years, according to Rutgers Health researchers.

The use of biologic and targeted therapies for children with juvenile idiopathic arthritis (JIA) surpassed more typical therapies in recent years, according to Rutgers Health researchers.

Source: Streetwise Reports 11/05/2024

Treatment.com AI Inc. (TRUE:CSE; TREIF:OTCMKTS; 939:FRA) has announced the release of its newly updated Medical Education Suite (MES). This release aligns with the company's active participation in a major symposium focused on AI assessment in medical education. The Symposium, hosted by the University of Minnesota Medical School,  drew thought leaders and representatives from over 50 medical schools and national education organizations across the United States and internationally.

The updated MES has been designed to leverage Treatment's proprietary Global Library of Medicine (GLM) to help reduce the administration overhead and associated time and costs for medical schools in running key exams, such as the Objective Structured Clinical Examination (OSCE). Additionally, this updated version of the MES includes "easy to use" features to further support students in their clinical assessment training and exam preparation. This OSCE exam is seen as a critical evaluation used globally to assess the practical skills of medical students. It is now employed in more than 80 countries, with between 200,000 to 300,000 students participating annually.¹

The MES incorporates various AI-driven features, such as automated case generation for OSCE exams, scripts for simulated patients, and instant scoring with personalized feedback. The Suite also introduces new tools, including AI Patient, which supports students preparing for medical exams, and expanded OSCE case packages, which are expected to grow to a library of 100 cases by the end of Q4 2024. Additionally, the AI Prep Tool offers both non-guided and guided exam-simulated modes, assisting students in honing their clinical reasoning.

Kevin Peterson, MD, MPH, Treatment's Chief Medical Officer, delivered a keynote at the Symposium, joining an impressive lineup that includes presenters from Mayo Clinic and the University of Alberta. The company highlights that this Symposium is a crucial opportunity to demonstrate its MES and showcase its growing influence in the field of medical education.

CEO Dr. Essam Hamza emphasized the significance of this event, stating in the press release, "We are excited to showcase our updated medical education software suite at this landmark Symposium. The opportunity to have a positive impact on the medical training of students and, in turn, introduce them to our range of proprietary AI tools is an important inflection point in the company's commercialization timeline."

AI in Healthcare

On October 10, Microsoft emphasized the importance of multimodal AI models for a comprehensive assessment of patient health. The report highlighted the growing importance of using AI to analyze complex, multimodal health data, such as medical imaging, genomics, and clinical records. The integration of these data sources has enabled more precise diagnostics and treatment planning, illustrating the sector's move toward comprehensive AI applications. The healthcare industry has faced challenges like the need for large-scale, integrated datasets and significant computational resources, but advancements have begun to bridge these gaps. Microsoft noted that these developments would help unlock new insights and improve patient care by accelerating innovation and enhancing clinical decision-making across the sector.

On November 4, Forbes reported that AI-powered healthcare tools were no longer merely experimental but were instead delivering real value across the industry. Examples included enhanced diagnostic accuracy through AI algorithms, like those developed by Google Cloud Healthcare, and improved administrative processes through platforms like Cedar's AI-powered billing system. Forbes noted that these developments were reshaping patient care and reducing administrative burdens, offering measurable benefits.

Also, on November 4, Tech Target highlighted the optimism among healthcare professionals regarding generative AI's potential to alleviate administrative burdens. Over 90% of healthcare workers surveyed expressed confidence in generative AI's ability to simplify tasks like prior authorizations and nurse handoff reports. Aashima Gupta from Google Cloud shared insights on these tools' transformative capabilities, while Tony Farah from Highmark Health cited an 85% reduction in provider administrative costs after automating prior authorizations. Helen Waters from Meditech added, "We believe that gen AI and AI overall is transforming how healthcare professionals access and use information to make powerful decisions confidently," reflecting the positive impact of AI tools on healthcare workflows and decision-making.

Company Catalysts

Treatment.com AI Inc. continues to evolve its medical education platform, incorporating advanced AI technologies that could help revolutionize medical education and training. The company is leveraging its Global Library of Medicine, which offers over 10,000 medical reviews and covers more than 1,000 diseases and associated symptoms. These AI-driven tools aim to enhance clinical decision-making while reducing administrative burdens for healthcare institutions.

The updated MES is projected to impact medical training through its comprehensive and AI-enhanced features, as outlined in Treatment's investor presentation. The presentation details the significant market potential, with the AI healthcare market expected to grow from US$11 billion in 2021 to US$187 billion by 2030, according to Statista. In addition to Treatment's announced new functionality, the company has already begun work on further solutions such as AI Doctor in a Pocket and audio/video analysis tools for clinical scoring and diagnostics. The goal of this expanded portfolio is to position the company to help expedite its aggressive growth plans over the next year.

Analysis of Treatment.com AI

Ownership and Share Structure

According to Sedi.ca, insiders own approximately 8% of Treatment.com AI. Retail investors own the remaining 92%. 

The company has 48.99 million outstanding common shares and has 41.3 million free float traded shares.

As of November 4, the market cap is approximately CA$31.35 million. Over the past 52 weeks, the company traded between CA$0.355 and CA$1.11 per share.

¹Source bodies including: https://www.aamc.org/; https://www.uems.eu/; https://www.nmc.org.in/; Education – GMC (gmc-uk.org)

Sign up for our FREE newsletter at: www.streetwisereports.com/get-news

Important Disclosures:

1. Treatment.com AI has a consulting relationship with Street Smart an affiliate of Streetwise Reports. Street Smart Clients pay a monthly consulting fee between US$8,000 and US$20,000.
2. As of the date of this article, officers and/or employees of Streetwise Reports LLC (including members of their household) own securities of Treatment.com AI.
3. James Guttman wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an employee.
4. This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.
5. This article does not constitute medical advice. Officers, employees and contributors to Streetwise Reports are not licensed medical professionals. Readers should always contact their healthcare professionals for medical advice.

For additional disclosures, please click here.

* Disclosure for the quote from the Clive Maund article published on [Date]

1. For the quoted article (published on [Date]), the Company has paid Street Smart, an affiliate of Streetwise Reports, between US$1,500 and US$2,500.
2. Author Certification and Compensation: [Clive Maund of clivemaund.com] is being compensated as an independent contractor by Street Smart, an affiliate of Streetwise Reports, for writing the article quoted. Maund received his UK Technical Analysts’ Diploma in 1989. The recommendations and opinions expressed in the article accurately reflect the personal, independent, and objective views of the author regarding any and all of the designated securities discussed. No part of the compensation received by the author was, is, or will be directly or indirectly related to the specific recommendations or views expressed

Clivemaund.com Disclosures

The quoted article represents the opinion and analysis of Mr. Maund, based on data available to him, at the time of writing. Mr. Maund's opinions are his own, and are not a recommendation or an offer to buy or sell securities. As trading and investing in any financial markets may involve serious risk of loss, Mr. Maund recommends that you consult with a qualified investment advisor, one licensed by appropriate regulatory agencies in your legal jurisdiction and do your own due diligence and research when making any kind of a transaction with financial ramifications. Although a qualified and experienced stock market analyst, Clive Maund is not a Registered Securities Advisor. Therefore Mr. Maund's opinions on the market and stocks cannot be only be construed as a recommendation or solicitation to buy and sell securities.

¹Source bodies including: https://www.aamc.org/; https://www.uems.eu/; https://www.nmc.org.in/; Education – GMC (gmc-uk.org)

( Companies Mentioned: TRUE:CSE; TREIF:OTCMKTS;939:FRA, )

The capabilities of data are expanding and revolutionizing with each passing day. It is important for technology business leaders to stay updated on the top data trends and use data more efficiently to improve their existing business models.

In this new role, he will focus on advancing AI and cloud technologies, leveraging his extensive experience to drive innovation within the organization.

Scientists at The Australian National University (ANU) have developed a new spray-on material with a remarkable ability to repel water.

read more

Abhinav Srivastava, CIO, Daimler India Commercial Vehicles, talks about how technology is reshaping automotive safety.

Much like the Silk Road once connected India to the world, artificial intelligence (AI) — particularly generative AI — is weaving a new tapestry of connectivity and innovation. Industries across the nation are starting to benefit from the efficiencies and new customer experiences this new technology wave offers.

India's digital economy is booming, with fintech driving digital payments and e-markets expanding rapidly. Deputy Governor of Reserve Bank of India, Michael Debabrata Patra, stated that the digital economy currently makes up a tenth of India's GDP and is projected to reach a fifth by 2026.

These solutions provide granular network control, resulting in minimized downtime and streamlined operations. Allied Telesis offers seamlessly integration with more than 30 recognized cybersecurity vendors to provide True Zero Trust Network Security, ensuring a comprehensive approach to cybersecurity remediation.

SIERA.AI and UniCarriers Americas are pleased to announce that they have entered into a strategic relationship to combine SIERA.AI’s innovative safety and autonomy technologies with UniCarriers’ expertise as a leading manufacturer and distributor of material handling equipment.  

When the COVID-19 pandemic struck, the world drastically changed as businesses shut down and employees moved to work-from-home settings. Once used mostly by the tech industry, video chat software companies such as Zoom, Go To Meeting and Microsoft Teams saw huge increases in demand as people began using these services for work, school and even to stay in touch with family members. Even doctor’s visits became virtual.

Within the halls of our recent meetings, the RPA community witnessed a defining moment. Committees were not just formed; they were crafted as engines of change.

A few weeks back I was having a conversation with a plumbing and HVAC contracting business owner. During the beginning of our discussion, he abruptly told me, “I just use ChatGPT to do your job.”

Today, optrel, a leading manufacturer of active eye protection products, introduced its new crystal2.0 welding helmet with Crystal 2.0 Lens Technology (CLT2.0) — representing a quantum leap forward in optical clarity for welders before, during, and after welding.

In many contexts, the “smart” prefix refers to giving technologies some form of wireless connectivity. That’s not necessarily the case with smart concrete, which covers a much broader range of materials than it may initially seem.

When loud noises cannot be reduced or eliminated through engineering controls, workers who are exposed to them must use hearing protection devices (HPDs) to conserve their hearing. This notion is not new, nor is the concept that HPDs require fit-testing to be effective.

DashTrack is offering a cost-effective, streamlined one-stop solution for restaurant management through an all-encompassing platform.

This trailblazing brand announces release of HAKII MIXV - wearable headphones in visor style.

Launched on the global crowdfunding platform Kickstarter.

New Hunting, Cargo, eMTB models on display June 8-11 in Denver

GK-S39: Illuminating Conservation - A Beacon of Hope for Sea Turtles

ExperienceGuadalupeValley.com Offers Enhanced User Experience, Interactive Features, and Tools for Business Attraction

The expanded detection capabilities enable homeland security agencies, EOD units, defense forces and first responders to detect and identify a wider range of dangerous explosives and narcotics evolving threats within seconds.

A linear motor that is used in various medical products.

The new server line-up propels AI performance with unprecedented processing power and speed.