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This document summarizes an interdisciplinary school project about creating a fictional soup factory. The project incorporates lessons from various subjects including psychology, ethics, values, calculus, economy, computing, administration, accounting, law, and English. It discusses how each subject contributes to understanding the business. It also provides details about a soap product called "Mr. Wipe" which is meant for children and made from water, alcohol, coconut, and honey. The soap will be distributed in supermarkets in two Mexican cities. The project involved researching advertising for the product.
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Englishh
This document summarizes an interdisciplinary school project where students created a soup factory company integrating lessons from various subjects including psychology, ethics, values, calculus, economy, computing, administration, accounting, and law. For the English portion, students developed marketing materials for their soup company in English to expand into international markets. While some parts of integrating the various subjects proved challenging, the project provided students the opportunity to gain experience applying different areas of study to a real-world business scenario.
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This document summarizes an interdisciplinary school project where students created a soup factory company integrating lessons from various subjects including psychology, ethics, values, calculus, economy, computing, administration, accounting, and law. For the English portion, students developed marketing materials for their soup company in English to expand into international markets. While some parts of integrating the various subjects proved challenging, the project provided students the opportunity to gain experience in different business functions and roles to operate their own company.
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GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.Recently uploaded (20)
SAP S/4 HANA sourcing and procurement to Public cloud
SAP S/4 HANA sourcing and procurement to Public cloud
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
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A Comprehensive Guide to DeFi Development Services in 2024
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Driving Business Innovation: Latest Generative AI Advancements & Success Story
JavaLand 2024: Application Development Green Masterplan
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Trusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process Mining
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Englishh
- 1. Englishproject 2nd. Period. Mr. Wipe Jania J. Alemán Mtz. R.N. 2 Alexia Niño de Rivera R.N.18 Mónica Polanco R.N. 20
- 3. Interdisciplinary Project Thisprojectismainlyaboutpretendingtocreate a soupfactory, witheachsubjectthatwehave in school. Oursubjects are: Psychology, Ethics, ValuesFormation, Calculus, Economy, Computing, Administration, Accounting, Law and English. We can notleaveanysubjectoutside of ourresearch, becauseall of them are important in thecreation of thefactory. Also, in thisEnglishproject, I´ll show youhowimportantthesubjects are in this global project and allthe positive and negativethingsabouttheprofessors and theworkthatwehaveto do.
- 4. PSYCHOLOGY
- 5. ETHICS
- 7. CALCULUS
- 8. ECONOMY
- 9. COMPUTING
- 10. ADMINISTRATION
- 11. ACCOUNTING
- 12. LAWS
- 13. ENGLISH
- 15. Who’s Mr. Wipemadefor? Mr wipe is a soap made especially for children who enjoy the bath time and want to feel the freshness and cleanliness in their skins.
- 16. ¿ What’sMr. Wipemade of ? Mr. Wipeismade of: Water Alcohol Coconut Honey
- 19. In this project we focus on searching advertising of our product and present it to the public.It has been difficult but in the end we are always happy with the work we have done, sometimes we feel that even the teachers didn’t know what’s the purpose of this integrated project, but definitely this project has taught us much about what we do all our lives our work, and we had the opportunity to experience it is to be an entrepreneur.