This is for all researchers interested in exploring cutting-edge technologies at ISNCC 2024! (http://www.isncc-conf.org)
Don't miss your chance to be part of the premier IEEE conference on Networks, Computers, and Communications (ISNCC 2024)! Held in Washington D.C., USA, from October 22-25, 2024, ISNCC offers a hybrid format (in-person and virtual) for researchers to present groundbreaking work.
Abstract Submission Deadline Extended: June 30th, 2024!
Showcase your research on a wide range of topics shaping the future of technology, including:
-Artificial Intelligence and Machine Learning
-Metaverse and the Future of the Internet
-Data Science and Big Data Systems
-Industry 4.0 and Smart Manufacturing
-Satellite Communications and Space Exploration
ISNCC 2024 features distinguished keynote speakers and a multi-thematic program, providing a platform for researchers to share their latest findings and network with leading experts.
Accepted papers will be published in IEEE Xplore, DBLP, and Thomson Reuters.
Today, submit your abstract (Full Papers, Short Papers, Posters, Demos, or Use Cases) and participate in shaping the future of technology! Visit http://www.isncc-conf.org for more details.
The 8th Cyber Security in Networking Conference (CSNet 2024) calls for papers on Artificial Intelligence (AI) for Cybersecurity. The conference will be held in Paris, France, from December 4-6, 2024. Researchers and industry professionals are invited to submit full papers, short papers, posters, demos, and work-in-progress papers on various topics related to AI and cybersecurity.
Some of the specific topics of interest include:
Advanced AI for Cybersecurity
AI-based Cybersecurity for Next-Generation Technologies
Challenges and Opportunities in AI-driven Security
Emerging AI Threats and Countermeasures
The deadline for full and short paper submissions is August 10, 2024. More information can be found on the conference website CSNet 2024 https://csnet-conference.org/2024/
Invitation to Publish in the Journal of Machine Learning and Deep Learning (JMLDL)
JMLDL is a premier platform for disseminating innovative research across various domains. We welcome high-quality submissions in areas like:
* Supervised learning
* Deep reinforcement learning
* Natural language processing
* Scalability and efficiency
Submission Guidelines:
* Original, unpublished work
* Follows journal template (https://www.icegov.org/instructions-tutorials/submit-paper/)
* Full papers: 6-20 pages
* Submit online via EDAS (https://www.edas.info/doc/final.html)
* Rigorous peer-review process
AI Horde (https://aihorde.net/) is a free, open-source project that makes powerful AI tools accessible to everyone. Imagine needing a supercomputer to create images or text with AI, but not having the resources. AI Horde solves this by creating a shared network of volunteer computers. People with extra computing power can contribute to the "Horde," while others can use that power to generate images or text through a simple online tool. This approach breaks down the financial barrier to entry for this exciting technology.
Imagine building a program but worrying if the compiler itself might introduce errors. Alive2 tackles this challenge for the LLVM compiler, a powerful tool for creating many programs. When a program is compiled, optimizations are made to improve speed and size. Alive2 acts as a safety net, automatically checking that these optimizations are done correctly. https://nlnet.nl/project/Alive2/
This is crucial because even a small compiler mistake can lead to security vulnerabilities in the final program. Alive2 helps ensure that the optimizations LLVM performs are accurate, giving developers and users more confidence in the compiled programs. It's a valuable tool for compiler developers and anyone who wants to be sure their programs are compiled correctly.
I'm inviting you to publish at the ICT Innovations 2024 conference.
Topic: “ICT INNOVATIONS 2024: TechConvergence: AI, Business, and Startup Synergy”.Calling all researchers! Submit your original, unpublished work to ICT Innovations 2024, a leading conference on Information and Communication Technologies (ICT) advancements.
We welcome submissions across diverse ICT topics (see the full list: https://www.ictinnovations.com/top-ict-innovations-in-year-2024).
Present your groundbreaking research and connect with a global ICT community!
Submission Details:
* Visit https://www.ictinnovations.com/top-ict-innovations-in-year-2024 for details.
* One author must register for the conference on 28 – 30 SEPTEMBER 2024, Ohrid. NORTH MACEDONIA
Here are some ways to find calls for Journal Publication:
Journal Publishing Hub: Like those mentioned here, many journal publishing hubs offer search functionalities for calls for papers.
Here are a few examples:
Scholarly Knowledgebase (ScholarOne) (https://authorservices.wiley.com/author-resources/Journal-Authors/submission-peer-review/index.html)
Editorial Manager (https://www.editorialmanager.com/)
Open Access Publishing Support Fund (OAPSF) (https://library.ecu.edu/scholarly-communications/open-access-publishing-support-fund/)
Publisher Websites: Most academic publishers maintain dedicated sections on their websites showcasing current calls for papers in their journals. You can find these sections by browsing the publisher's website or searching for "Calls for Papers".
Professional Societies and Associations: Professional societies and associations in your field might announce calls for papers relevant to their members. Check their websites or publications for announcements.
Subscription Services: Some subscription services aggregate calls for papers from various sources. These can help stay up-to-date on various topics but may require a fee.
Remember, choosing reputable journals with established peer-review processes is important when submitting your research for publication.
Epoch AI (www.epochai.org) is a group of researchers dedicated to studying and predicting the evolution of advanced AI. They maintain a database of AI and machine learning models released since the 1950s. They select entries based on state-of-the-art advancements, historical significance, or high citation rates. Analyzing these models provides a comprehensive overview of the machine learning landscape’s evolution, both in recent years and over the past few decades.
These studies show that generative AI—including models like ChatGPT-3.5 and Variational Autoencoders—can effectively teach novel concepts in PK–8 classrooms, adjust to students' varying knowledge levels, assess complex work, and improve engagement and retention. These studies show that generative AI—including models like ChatGPT-3.5 and Variational Autoencoders—can effectively teach novel concepts in PK–8 classrooms, adjust to students' varying knowledge levels, assess complex work, and improve engagement and retention.
https://consensus.app/results/?q=Are%20there%20reports%20on%20how%20generative%20AI%20in%20PK-8%20schools%20has%20worked%3F&synthesize=on&copilot=on
This study examines optimal locations for emergency medical stations (EMS). While past research relied on simplified models, this work creates a more realistic model considering diverse urban-rural areas and ambulance types.
The authors compare three models: minimizing average response time, maximizing short-response-time calls, and a two-tiered model for different vehicle types. A computer simulation based on real ambulance data from Slovakia evaluates each model.
All models improved response times compared to current station placements. The two-tiered model's best performer reduced average response time by nearly a minute, increased timely responses by 5%, and significantly improved response times for high-priority calls.
These findings suggest that, in complex areas, prioritizing faster response times overall is more beneficial than maximizing short response times for a set number of calls.
This research proposes three methods for relocating emergency medical stations (EMS) based on median-type location models. The aim is to optimize patients' access to urgent care. The authors compare these models using a computer simulation built with real data from a Slovakian healthcare provider. The simulation suggests that even a basic p-median model can substantially improve patient access to urgent medical services.
The Indian Journal of Clinical Biochemistry's primary mission is to promote improvement in the health and well-being of the community through the development and practice of clinical biochemistry and the dissemination of knowledge and recent advances in this discipline among professionals, the diagnostics industry, and government and non-government organizations.
Promote AI Literacy is essential. This involves understanding both the human and technical sides of AI. By weaving AI literacy into academic frameworks and teaching methods, we can empower students to become informed users and future developers of these powerful technologies. This will give them a competitive edge in the evolving job market. What is your opinion on this topic?
AI is rapidly entering the classroom, and with it comes a need for clear rules and direction. AI offers exciting opportunities to enhance learning, but it shouldn't replace teachers. Instead, it should be a tool to empower them. By promoting an understanding of AI, we can prepare students for the complexities of the modern world and equip them with the skills to navigate an uncertain future. As the US Department of Education warns (https://tech.ed.gov/files/2023/05/ai-future-of-teaching-and-learning-report.pdf), it's crucial to address AI in education to reap its benefits, minimize risks, and avoid unforeseen consequences.
The IEEE editorial decision-making process for academic journals typically involves the following steps:
Initial editor screening: The editor will first screen the paper to ensure it meets the journal's formatting requirements and falls within the journal's scope.
Peer review: The editor will then assign the paper to two or three reviewers who are experts in the field. The reviewers will evaluate the paper based on its originality, significance, methodology, clarity, and overall quality.
Editorial decision: Based on the reviewers' reports, the editor will make a decision on the paper. The possible decisions include:
Accept: The paper is of high quality and can be published without any revisions.
Reject: The paper is not of sufficient quality for publication in the journal.
Revise and resubmit: The paper has merit but needs to be revised before it can be published.
Minor revisions: The paper can be published with only minor revisions.
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