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Driving AI Forward: Coohom Cloud’s Groundbreaking 2D and 3D Interior Data Solutions Revealed at CVPR 2024

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HANGZHOU, China, June 28, 2024 /PRNewswire/ — Coohom Cloud, a leading provider of data services and solutions for the AI industry, proudly unveiled its latest advancements in 2D and 3D interior dataset products at the Conference on Computer Vision and Pattern Recognition (CVPR) 2024. This preeminent event, held from June 17-21 in Seattle, brought together top researchers, scientists, and industry leaders to explore breakthroughs in computer vision, artificial intelligence, machine learning, deep learning, and much more.

Embodied intelligence emerged as a focal point at CVPR this year, representing an advanced field that merges computer vision, machine learning, and robotics. The demand for large-scale and high-quality datasets has become increasingly evident, whether for training humanoid robots or constructing robust AI models.

Coohom Cloud was established by Koolab Innovation Laboratory of MANYCORE TECH INC. in 2017, after realizing that many industries were on the verge of significant investments in high-quality data. MANYCORE TECH INC. is a leading global cloud based interior design software platform, Coohom Cloud leverages its parent company MANYCORE TECH INC.’s extensive indoor data resources, combined with high-performance rendering engines and advanced data processing technologies, to deliver realistic and physically accurate 2D and 3D interior datasets and services to the AI industry.

In 2018, MANYCORE TECH INC. collaborated with Imperial College London and the University of Southern California to introduce the InteriorNet, which was then the largest publicly available indoor scene dataset. Building upon this, the MANYCORE TECH INC.’s platform now generate over 400,000 3D designs daily and houses approximately 360 million 3D models, encompassing furniture, appliances, household items, and more. This forms a robust data foundation provided by Coohom Cloud for research in indoor environment understanding, 3D reconstruction, robotics simulation and beyond.

Regarding 2D image rendering technology, Coohom Cloud employs a proprietary rendering engine to capture image data in diverse indoor settings through adjusting camera parameters, path trajectories, lighting conditions, etc., resulting in 2D datasets in formats such as RGB, depth, semantic, normal, point cloud, and others. This capability allows Coohom Cloud to produce 300,000 sets of 2D datasets daily, serving as ample training materials for AI agents’ navigation, visual perception, and environmental understanding capabilities.

To provide cost-effective data service solutions, Coohom Cloud utilizes its self-developed data processing engine designed for efficient data transformation, converting the accumulated database into formats suitable for AI training. This data engine can offer more comprehensive support on the physical, diversity, and data labeling fronts.

Physical Enhancement: Embodied intelligence’s real-world interactive capabilities are a key indicator of its level of intelligence. Coohom Cloud integrates cutting-edge simulation platforms like NVIDIA Isaac Sim to create 3D environments with realistic physical properties, allowing robots to undergo extensive interaction testing within a virtual realm. This significantly reduces training costs, enhances training safety, and improves repeatability.

Environment Augmentation: Coohom Cloud’s environment enhancement tool enriches the complexity of virtual environments through model element diversification, material variations, as well as lighting adjustments, etc. to simulate the diversity and complexity of the real world, enhancing the adaptability and generalization ability of robots.

Segmentation & Annotation: Coohom Cloud utilizes advanced synthetic data generation techniques to customize segmentation and annotation data, supporting various labels such as semantics, materials, spatial states. This approach significantly enhances data processing efficiency and accuracy.

Moreover, Coohom Cloud remains committed to exploring additional possibilities and value for computer vision and the entire AI field through technological innovation and industry partnerships.

About MANYCORE TECH INC.

MANYCORE TECH INC. is a leading global cloud based interior design software platform founded in November 2011. Specializing in the development and application of cloud based design software systems, the company aims to “Realizing Imagination”. MANYCORE TECH INC. provides software products and digital solutions for design rendering, marketing display, production integration, and construction implementation in home decoration, commercial spaces, and real estate construction. The company’s focus on cutting-edge research in computer graphics and AI has resulted in multiple research papers being selected for top international academic conferences such as SIGGRAPH Asia, CVPR, ECCV, and BMVC.

About Coohom Cloud

Coohom Cloud is a professional data service provider incubated by the parent company, MANYCORE TECH INC.’s innovation laboratory in 2017. Building upon the outstanding interior design digital assets of the parent company globally, Coohom Cloud offers an array of dataset services, including interior synthetic data generation and 3D virtual assets creation. This aims to accelerate the advancement of diverse industries such as AIGC, Robotics, AI Agents, XR and more. 

For more information, please visit or follow us on:
Contact: cloud@coohom.com
Website: www.coohomcloud.com
LinkedIn: www.linkedin.com/company/coohomcloud
X: x.com/Coohom_Cloud

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SOURCE MANYCORE TECH INC.

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As 2025 IRS Mileage Rate Hits 70 Cents, Expert Warns: Ditch Risky Apps for Secure Paper Tracking

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Gig economy expert Ed Ryder warns against the risks of mileage tracking apps, and advocates using paper-based tracking methods instead. He introduces The Big Mileage Form, a secure alternative developed over two years to meet the specific needs of food delivery gig workers. Ryder highlights recent tech failures, like the July 2024 global IT outage, to underscore the vulnerabilities of digital solutions. The press release also mentions Ryder’s significant mileage deduction using his form and directs readers to GigCoach.net for additional resources, including a consumer tutorial to drive better food delivery outcomes and a gig coach training program.

PHILADELPHIA, Dec. 22, 2024 /PRNewswire-PRWeb/ — As the IRS announces a standard mileage rate of 70 cents per mile for 2025, gig economy expert Ed Ryder, who has completed over 10,000 deliveries with his own car using major food delivery platforms, urges fellow gig workers to reconsider their mileage tracking methods. While acknowledging the convenience of digital solutions, Ryder advocates for a return to secure, paper-based tracking to protect valuable mileage deductions.

With the mileage rate at 70 cents, accurate tracking is crucial for gig workers and small business owners. Mileage apps seem convenient, but they risk data loss from outages, glitches, and cyber attacks. Many overlook these significant dangers.

“With the mileage rate increasing to 70 cents, accurate tracking is more crucial than ever for gig workers and small business owners,” says Ryder, creator of The Big Mileage Form. “While mileage tracking apps seem convenient, they come with significant risks that many overlook. Network outages, app glitches, and cyber attacks can jeopardize months of data.”

Ryder points to the July 2024 global IT outage as a prime example of technology’s vulnerabilities. “A faulty software update caused mass airline disruptions and impacted other industries, catching major corporations off guard. This incident highlights that even in our digital age, software isn’t infallible. For me, I simply won’t trust mileage tracking apps with my most important tax deduction.”

To address these concerns, Ryder developed a comprehensive, paper-based solution. “I spent two years perfecting The Big Mileage Form, tailoring it to the specific needs of food delivery gig workers,” he explains. “At 11×17 inches, it provides ample space for detailed record-keeping and, crucially, it’s immune to software glitches, data breaches, and ransomware attacks.”

Ryder’s meticulous paper-based record-keeping resulted in a mileage deduction exceeding $19,000 on his 2023 federal taxes. “All my business-related miles are thoroughly documented on paper. I’m fully prepared to defend this deduction in case of an audit. This level of confidence is what I aim to provide other gig workers.”

“In today’s digital age, sometimes the most secure solution is the simplest one,” Ryder concludes. “My form not only ensures data security but also prepares users for potential IRS audits. It’s time to reconsider the old-fashioned, but reliable pen-and-paper method.”

For those interested in learning more about effective mileage tracking and other aspects of gig work, Ryder offers valuable resources on GigCoach.net. These include a tutorial for consumers titled ‘Fair Deal Delivery,’ which provides insights on how to improve food delivery outcomes. Additionally, experienced food delivery couriers can explore Ryder’s gig coach training program. Visit GigCoach.net to access these resources and learn more about The Big Mileage Form.

Media Contact

Ed Ryder, Match Experiment LLC, 1 484-493-8740, hello@ideamaned.com, gigcoach.net

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SOURCE Gig economy expert Ed Ryder

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DATA BREACH ALERT: Edelson Lechtzin LLP Is Investigating Claims On Behalf Of Ascension Health Customers Whose Data May Have Been Compromised

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NEWTOWN, Pa., Dec. 22, 2024 /PRNewswire/ — The law firm of Edelson Lechtzin LLP is investigating claims regarding data privacy violations by Ascension Health (“Ascension”). Ascension learned of suspicious activity on or about May 8, 2024. To join this case, go HERE.

About Ascension Health

Ascension is a prominent non-profit health system in the nation and operates under Catholic principles.

What happened?

On or about May 8, 2024, Ascension detected unauthorized activity in its computer systems. Ascension initiated an investigation, which included retaining consulting cybersecurity experts and notifying the FBI. The investigation determined that between May 7 and 8, 2024, a cybercriminal accessed files containing personal information about Ascension’s patients and employees. This information included names, medical records, payment details, insurance information, government identification numbers, and other personal data such as dates of birth and addresses. Approximately 6 million individuals have been affected by this data breach.

How can I protect my personal data?

If you receive a data breach notification, you must guard against possible misuse of your personal information, including identity theft and fraud, by regularly reviewing your account statements and monitoring your credit reports for suspicious or unauthorized activity. Additionally, you should consider legal options for mitigating such risks.

Edelson Lechtzin LLP is investigating a class action lawsuit to seek legal remedies for customers whose sensitive personal and patient data may have been compromised by the Ascension data breach.

For more information, please contact:

Marc H. Edelson, Esq.
EDELSON LECHTZIN LLP
411 S. State Street, Suite N-300
Newtown, PA 18940
Phone: 844-696-7492
Email: medelson@edelson-law.com
Web:  www.edelson-law.com 

About Edelson Lechtzin LLP
Edelson Lechtzin LLP is a national class action law firm with offices in Pennsylvania and California. In addition to cases involving data breaches, our lawyers focus on class and collective litigation in cases alleging securities and investment fraud, violations of the federal antitrust laws, employee benefit plans under ERISA, wage theft and unpaid overtime, consumer fraud, and catastrophic injuries.

This press release may be considered Attorney Advertising in some jurisdictions. No class has been certified in this case, so counsel does not represent you unless you retain one. You may select counsel of your choice. You may also remain an absent class member and do nothing now. Your ability to share in any potential future recovery does not depend on serving as lead plaintiff.

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SOURCE Edelson Lechtzin LLP

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Earth’s pulse monitored: a review highlights remote sensing time series progress

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As urbanization accelerates and environmental dynamics shift, the need for accurate and timely terrestrial monitoring has never been more urgent. A review has introduced a novel approach to remote sensing time series analysis, integrating multi-source data to enable near real-time monitoring. This innovative methodology promises to transform environmental conservation and urban planning by providing unprecedented insights into terrestrial changes and offering a more precise understanding of environmental dynamics.

GUANGZHOU, China, Dec. 22, 2024 /PRNewswire-PRWeb/ — An international team of researchers from South China Normal University, the University of Connecticut, and the Chinese Academy of Sciences has made a significant breakthrough in remote sensing. Their review, published (DOI: 10.34133/remotesensing.0285) in the Journal of Remote Sensing on December 11, 2024, addresses key challenges in remote sensing, such as incomplete data and noise interference. The team’s new time series analysis technique leverages advanced data reconstruction and fusion methods, significantly enhancing the precision and efficiency of remote sensing for monitoring environmental changes.

The research team has developed an advanced time series analysis technique that combines deep learning algorithms with traditional remote sensing methods to integrate data from various remote sensing sources. This innovative approach allows for the extraction of subtle patterns from large, complex datasets, which is crucial for monitoring critical environmental parameters such as land use and vegetation health. Unlike conventional techniques that struggle with incomplete or noisy data, this new methodology offers enhanced accuracy and more reliable insights into terrestrial dynamics, paving the way for more effective environmental monitoring.

Central to the study’s success is the integration of Long Short-Term Memory (LSTM) networks and Generative Adversarial Networks (GANs) to address the challenges posed by missing or noisy data. The LSTM networks capture temporal trends over time, while the GANs generate synthetic data that mimics real-world observations to fill gaps and correct for atmospheric distortions. This dual approach has resulted in a cleaner, more accurate time series dataset, which was validated against independent ground truth measurements. The researchers demonstrated significant improvements in key vegetation indices, such as the Normalized Difference Vegetation Index (NDVI), setting a new benchmark in the field of remote sensing.

Experts in the field have lauded the study’s potential to revolutionize remote sensing applications. They see the method as a transformative tool for enhancing high-resolution monitoring and extending its coverage, particularly in agricultural surveillance, urban planning, and environmental management. “This method represents a crucial advancement in our ability to monitor environmental changes,” says Professor Fu. “As it evolves, it could play a key role in addressing climate change and other global challenges.”

The methodology’s future applications are vast, especially in global environmental monitoring and supporting sustainable development goals. By integrating multi-temporal data from Landsat and Sentinel-2 satellites, the team has created a framework for accurate and continuous terrestrial analysis. As computational power advances and algorithms improve, this technology is expected to become a vital tool for natural resource management, disaster response, and climate change mitigation. In the years to come, it could provide critical data to help policymakers address pressing environmental issues on a global scale.

References

DOI

10.34133/remotesensing.0285

Oiginal Source URL

https://doi.org/10.34133/remotesensing.0285

Funding information

This work was supported by the National Nature Science Foundation of China (grant numbers 42425001 and 42071399).

About Journal of Remote Sensing

The Journal of Remote Sensing, an online-only Open Access journal published in association with AIR-CAS, promotes the theory, science, and technology of remote sensing, as well as interdisciplinary research within earth and information science.

Media Contact

George Hua, Chuanlink Innovations, 1 8656606278, TranSpread1@gmail.com, http://chuanlink-innovations.com/

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SOURCE Journal of Remote Sensing

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