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🤖 ANGLE - Angular Neural Generative Learning via Engression

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🤖 ANGLE - Angular Neural Generative Learning via Engression

This article introduces ANGLE, a new approach for Angular Neural Generative Learning via Engression. It details the theoretical foundations and practical applications in machine learning.

Key Points:

• ANGLE is a method for angular neural generative learning.

• It uses an approach called "Engression".

• The research is detailed in an arXiv paper.

🔗 Resources:
arXiv ↗ - Paper on Angular Neural Generative Learning via Engression

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💡 Immigration Guidance - Managing Employment Gaps

This content announces a webinar providing guidance for STEM professionals on how to manage unexpected employment gaps without compromising their lawful immigration status. It addresses issues related to layoffs.

Key Points:

• Employment gaps do not automatically jeopardize STEM immigration status.

• A webinar offers guidance from an attorney on navigating layoffs.

• The session provides information for professionals needing to maintain status.

🚀 Implementation:

  1. Register for the webinar: Use the provided link to sign up.
  2. Attend the session: Learn from an attorney about maintaining immigration status.
  3. Apply guidance: Implement strategies for managing employment gaps.

🔗 Resources:
Webinar Registration ↗ - Register for guidance on employment gaps and immigration status.

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🔬 Biomedical Research - Macrophage Programming by Vitronectin

This research article explores how vitronectin metabolically programs profibrotic macrophages. The study was conducted in 3D cultures and has implications for idiopathic pulmonary fibrosis.

Key Points:

• Vitronectin influences macrophage metabolic programming.

• This effect is observed in 3D cell cultures.

• The findings are relevant to idiopathic pulmonary fibrosis.

🔗 Resources:
Science Advances ↗ - Research on vitronectin and profibrotic macrophages.

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🔬 Biomedical Research - Platelet Production from T Cells

This research highlights a method for directly reprogramming human T cells into functional platelets. This technique offers a practical source for transfusion medicine applications.

Key Points:

• Human T cells can be directly chemically reprogrammed.

• This process yields functional platelets.

• The method presents a practical source for transfusion medicine.

🔗 Resources:
Science Advances ↗ - Research on T cell reprogramming into platelets.

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✨ Charity Auction - Funding Grants for Young Builders

This content announces a charity auction collaboration with Jensen Huang, who donated a signed leather jacket. The proceeds will fund grants and fellowships for young builders.

Key Points:

• Jensen Huang is participating in a charity auction.

• He donated a signed black leather jacket.

• Funds raised will support grants and fellowships for young builders.

🔗 Resources:

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🔭 Theoretical Physics - Covariant Path Integrals

This research introduces a new series of covariant path integrals for quantum-classic field interactions. This theory provides complete positivity and space-time symmetries, potentially unifying general relativity and quantum mechanics.

Key Points:

• New covariant path integrals apply to quantum-classic field interactions.

• The theory exhibits complete positivity and space-time symmetries.

• It aims to reconcile general relativity with quantum mechanics.

🔗 Resources:
APS Physics ↗ - Paper on covariant path integrals for quantum-classic interactions.

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🤖 AI Research - Simulating Aphasic Patterns

This research investigates how lesioned multimodal language models can reproduce patterns observed in aphasic picture-naming. The study explores the models' ability to simulate specific neurological conditions.

Key Points:

• Multimodal language models can be lesioned to simulate brain damage.

• These models reproduce picture-naming patterns seen in aphasia.

• The research is documented in an arXiv paper.

🔗 Resources:
arXiv ↗ - Paper on lesioned multimodal language models.

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🔬 AI in Radiotherapy - Auto-Contouring AI Benchmarking

This item discusses the establishment of a large-scale, independent benchmark for evaluating auto-contouring AI in radiotherapy. The research focuses on the performance consistency, calibration, and failure modes of these AI systems.

Key Points:

• A new benchmark evaluates auto-contouring AI for radiotherapy.

• The evaluation covers performance consistency, calibration, and failure modes.

• The work is presented at a conference.

🔗 Resources:
AAPM Conference ↗ - Benchmarking Auto-Contouring AI for Radiotherapy.


🔬 Medical Imaging - Cancerverse CT Dataset

This content describes "Cancerverse," a large, multicenter, longitudinal CT dataset with tumor annotations for 16 cancer types. This dataset is designed for radiotherapy targets and organs-at-risk (OARs).

Key Points:

• "Cancerverse" is a large, multicenter CT dataset.

• It includes tumor annotations for 16 different cancers.

• The dataset is relevant for radiotherapy targets and OARs.

🔗 Resources:
AAPM Conference ↗ - Cancerverse CT Segmentation Dataset.


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Drix10
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Co founder @ PartPilot | 1 x Acquired Founder | Canopy @ f.inc | Cybersec @ DSU | 2x International Hackathon 🏆. Read more on drix10.com.