by jsendak | Sep 5, 2025 | Cosmology & Computing
arXiv:2509.03872v1 Announce Type: new Abstract: Existing RGB-Event detection methods process the low-information regions of both modalities (background in images and non-event regions in event data) uniformly during feature extraction and fusion, resulting in high computational costs and suboptimal performance. To mitigate the computational redundancy during feature extraction, researchers have respectively proposed token sparsification methods for the image and event modalities. However, these methods employ a fixed number or threshold for token selection, hindering the retention of informative tokens for samples with varying complexity. To achieve a better balance between accuracy and efficiency, we propose FocusMamba, which performs adaptive collaborative sparsification of multimodal features and efficiently integrates complementary information. Specifically, an Event-Guided Multimodal Sparsification (EGMS) strategy is designed to identify and adaptively discard low-information regions within each modality by leveraging scene content changes perceived by the event camera. Based on the sparsification results, a Cross-Modality Focus Fusion (CMFF) module is proposed to effectively capture and integrate complementary features from both modalities. Experiments on the DSEC-Det and PKU-DAVIS-SOD datasets demonstrate that the proposed method achieves superior performance in both accuracy and efficiency compared to existing methods. The code will be available at https://github.com/Zizzzzzzz/FocusMamba.
by jsendak | Sep 3, 2025 | Art
The Importance of Harmony in Art
Throughout history, artists have sought to create works that evoke a sense of harmony and balance. From the classical sculptures of ancient Greece to the serene landscapes of the Impressionists, the concept of harmony has been central to the artistic process. This theme continues to resonate in contemporary art, as artists grapple with the complexities of modern life and strive to find unity and equilibrium in their work.
Historical Perspectives
In the Renaissance, artists such as Leonardo da Vinci and Michelangelo explored the idea of harmony in their paintings and sculptures, striving to capture the ideal proportions and beauty of the human form. The Baroque period saw artists like Caravaggio and Velázquez use light and shadow to create dramatic compositions that still retained a sense of balance and unity. In the 20th century, artists such as Piet Mondrian and Mark Rothko delved into abstract forms to express harmony in its purest sense.
Contemporary Relevance
In today’s fast-paced and chaotic world, the quest for harmony in art has taken on new significance. Artists like Jame St Findlay, winner of the Claridge’s RA Schools Art Prize, continue to explore this theme in innovative ways. Findlay’s latest commission, Harmony, presented in collaboration with Claridge’s and the Royal Academy Schools, promises to push the boundaries of artistic expression while maintaining a focus on unity and balance.
As viewers, we are invited to contemplate the importance of harmony in art and its potential to inspire reflection, introspection, and connection. Through Findlay’s work and the tradition of artists who have come before, we are reminded of the enduring power of art to bring beauty and balance to our lives.
Claridge’s and the Royal Academy Schools present Harmony, a major new commission by Jame St Findlay, winner of the Claridge’s RA Schools Art Prize.
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by jsendak | Sep 3, 2025 | DS Articles
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Join our workshop on Effective and useful feature engineering, which is a part of our workshops for Ukraine series!
Here’s some more info:
Title: Effective and useful feature engineering
Date: Thursday, October 2nd, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)
Speaker: Emil Hvitfeldt is a software engineer at Posit and part of the tidymodels team’s effort to improve R’s modeling capabilities. He maintains several packages within the realms of modeling, text analysis, and color palettes. Trying to make slidecrafting a well respecting verb. He co-authored the book Supervised Machine Learning for Text Analysis in R with Julia Silge. Working on book Feature Engineering A-Z.
Description: Feature engineering is one of the fundamental part of the modeling pipeline that is often overlooked to great dismay. This workshop will go over a number of practical examples, going over the most common problems that feature engineering solves. Including dealing with numeric predictors, time predictors, and categorical predictors. A practical component is included, which will use the R package {recipes} and its extension packages.
Minimal registration fee: 20 euro (or 20 USD or 800 UAH)
Please note that the registration confirmation is sent 1 day before the workshop to all registered participants rather than immediately after registration
How can I register?
- Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)
- Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).
If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.
How can I sponsor a student?
- Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)
- Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.
If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).
You can also find more information about this workshop series, a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.
Looking forward to seeing you during the workshop!
Effective and useful feature engineering workshop was first posted on September 2, 2025 at 11:26 am.
Continue reading: Effective and useful feature engineering workshop
Long-term Implications and Future Developments of the ‘Effective and Useful Feature Engineering’ Workshop Series
The “Effective and Useful Feature Engineering” workshop organized as part of the ‘workshops for Ukraine’ series offers a salient insight into the growing importance of machine learning, data analysis, and related technologies. The key takeaways and potentials for future development present a compelling narrative for the wider tech and academic community.
Feature Engineering’s Growing Significance
The workshop underscores the importance of feature engineering – a fundamental, yet often overlooked aspect of the machine learning modeling pipeline. With the growing ubiquity of machine learning applications across industries and research disciplines, mastering feature engineering can be a game-changer. As noted in the workshop, proficient skill in handling numeric predictors, time predictors and categorical predictors is crucial for creating advanced machine learning models that are robust, accurate, and efficient.
The featured speaker, Emil Hvitfeldt, supports R’s development, particularly in improving its modeling capabilities. His co-authorship of “Supervised Machine Learning for Text Analysis in R” and his work on the “Feature Engineering A-Z” book, further emphasize his expertise and the value participants are likely to gain.
Future Developments
Encouragingly, this workshop could be the harbinger for more such initiatives that bring feature engineering and related machine learning concepts to the forefront. Given the growing prominence of machine learning and data analytics in various aspects of our digital life, strengthening fundamental skills such as feature engineering will likely become increasingly important.
Actionable Advice
For Participants and Interested Individuals
This workshop presents an excellent opportunity to learn from a text analysis and feature engineering expert, helping you to strengthen your skills in data modeling. Additionally, investing in such workshops would be beneficial in building a strong foundation for future learning or career advancements within the field of machine learning and data science.
For Event Organizers and Educational Institutes
Following the model of this workshop series for Ukraine, future events could focus on advanced and specialized topics in machine learning and data science. Moreover, adopting a philanthropic approach, such as minimal registration fees that further charitable causes, could also be an effective strategy for widening access to these learning opportunities.
For Students
Students’ participation in such workshops can equip them with the skills and knowledge that are currently in high demand in the job market. For those who cannot afford the registration fee, initiatives like assembling waiting lists or enabling workshop sponsorships from other attendees present alternative avenues of access.
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by jsendak | Sep 3, 2025 | DS Articles
Develop simple yet powerful business intelligence tools tailored to meet your company’s specific needs.
Long-term Implications and Future Developments in Business Intelligence Tools
The importance of developing simple yet powerful business intelligence (BI) tools, specifically tailored to meet the unique needs of your organization cannot be overlooked. The long-term implications of such an approach are immense and indicate potential for significant future developments.
Long-term Implications
Customizing BI tools allows organizations to leverage data for strategic advantage. Effective BI tools will not only streamline the process of data analysis but also offer insights in ways that standard tools might overlook. This helps in prompt decision-making, improved operational efficiencies and, ultimately, increased profitability. Custom-built BI tools will also be more scalable and flexible, meeting the changing needs of the business and offering long-term cost-effectiveness.
Possible Future Developments
With advancements in technologies like artificial intelligence and machine learning, future BI tools are expected to become more intuitive, predictive, and adaptable. They are likely to come fully equipped with features that automate data analysis and provide prescriptive advice – thereby reducing the need for manual intervention. Another significant development will be the integration of BI tools with other business functions, for a more unified and efficient approach to organizational management.
Actionable Advice
In light of the above, here are some guidelines that businesses can follow:
- Invest in Customization: Allocate resources towards developing BI tools that truly meet the unique requirements of your business. This involves clearly identifying what those needs are and working with a competent technology partner to create a suitable solution.
- Plan for Scalability: Factor in the need for future expansion and adaptation right from the beginning. Your BI tool should be capable of evolving with your business and meeting the increasingly complex demands that future growth will bring.
- Embrace Automation: As much as possible, automate data analysis tasks. This not only boosts efficiency but eliminates potential human error, freeing up manpower for more strategic tasks.
- Prioritize Integration: Ensure interoperability with other business systems. This ensures a unified view of operations and reduces the potential for data silos.
To stay competitive, businesses must effectively leverage their data. A customized, future-proof BI tool is a strategic investment that can significantly contribute towards achieving this goal.
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by jsendak | Sep 3, 2025 | DS Articles
The future of data infrastructure with Bhupinder Bhullar, CEO of Swiss Vault. Discover how Swiss Vault’s breakthrough Vault File System delivers enterprise-grade storage performance, unmatched resilience, and ultra-low energy consumption, all in a compact, affordable form factor. From automated file healing and global data distribution to petabyte-scale servers that fit in a briefcase, Swiss Vault is redefining what’s possible for data storage at the edge and beyond. Whether you’re running a hospital, a research lab, or a rural data center, this episode shows how hyperscaler capabilities are finally within reach.
The Future of Data Infrastructure: An Analysis With Bhupinder Bhullar, CEO of Swiss Vault
In a recent insight into the future of data infrastructure, Bhupinder Bhullar, CEO of Swiss Vault, provided an overview of his company’s innovative data storage solutions. At the core of these breakthroughs is Swiss Vault’s innovative Vault File System, set to redefine the standards for data storage in terms of performance, resilience, and energy efficiency.
Transforming Data Storage with Swiss Vault
Swiss Vault is setting new precedence with cutting-edge developments that enable enterprise-grade storage performance, unmatched resilience against data loss, and ultra-low energy consumption. Its petabyte-scale servers’ compact and affordable design makes enterprise-level data handling accessible to a broader range of industries, from health care and research labs to rural data centers.
Challenges and Opportunities
The emerging ability of this technology to deliver hyperscaler capabilities pushes the boundaries of what’s considered possible for data storage at the edge and beyond, thus marking a major shift in the tech landscape. Despite its promising potential, the adoption of this technology could be hindered by factors such as security challenges, need for expert handling, and costs involved in data migration.
Long-Term Implications and Future Developments
Environmentally Friendly Data Storage
Among the most significant implications of Swiss Vault’s technology is the potential for achieving ultra-low energy consumption in data storage. This could contribute to the global efforts towards reducing carbon footprints and achieving sustainability in the tech industry.
Scalability and Reliability
Swiss Vault’s development could also lead to improved business scalability and reliability, particularly for industries that rely heavily on data. Hospitals and research labs, for example, might have access to more secure and reliable data storage, improving operations efficiency while reducing costs.
Access to Technology for Remote and Rural Areas
The compact design of Swiss Vault’s servers might mean that even remote and rural data centers could have access to advanced data handling capabilities. This could bridge digital gaps and help decentralize technological advancements.
Actionable Advice
Given these potential developments and challenges, organizations are advised to:
- Educate themselves: Understand the potential of this technology and how it could fit into their business models.
- Invest in expert handling: While the technology is compact and affordable, it might require expert handling to achieve maximum efficiency. Investing in training or hiring experts could be beneficial.
- Plan for data migration: Migrating data to these new systems might be a complex task involving cost and time. Therefore, comprehensive planning is advised.
- Push for regulations: Organizations can push for regulatory measures to ensure the security and privacy of data stored in such novel systems.
Conclusion
Swiss Vault’s innovative data storage solutions signal a game-changing revolution in the tech industry. With its promising technology, organizations can look forward to a future where data storage is more compact, affordable, efficient, and resilient, without compromising performance.
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