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Mantis Biotech is making 'digital twins' of humans to help solve medicine's data availability problem | TechCrunch
Data Science

Mantis Biotech is making 'digital twins' of humans to help solve medicine's data availability problem | TechCrunch

Mantis takes disparate sources of data to make synthetic datasets that can be used to build so-called "digital twins" of the human body, ...

TechCrunch - AI · 6 min ·
Nlp

[P] Using YouTube as a data source (lessons from building a coffee domain dataset)

I started working on a small coffee coaching app recently - something that could answer questions around brew methods, grind size, extrac...

Reddit - Machine Learning · 1 min ·
UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·

All Content

[2602.23367] HumanMCP: A Human-Like Query Dataset for Evaluating MCP Tool Retrieval Performance
Llms

[2602.23367] HumanMCP: A Human-Like Query Dataset for Evaluating MCP Tool Retrieval Performance

Abstract page for arXiv paper 2602.23367: HumanMCP: A Human-Like Query Dataset for Evaluating MCP Tool Retrieval Performance

arXiv - AI · 3 min ·
Machine Learning

DeepSeek optimizing for Chinese chips

Deepseek is about to drop V4, and the real story isn’t the model. It’s that they’ve optimized it to run on Huawei and Cambricon chips ins...

Reddit - Artificial Intelligence · 1 min ·
Ai Safety

The Trends That Will Actually Matter in the Next Decade

The article discusses key trends that will shape the future, emphasizing the importance of energy, demographics, resilience, and digital ...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[D] Industry expectations in Machine Learning Engineers in 2026

The article discusses industry expectations for Machine Learning Engineers by 2026, highlighting skills, trends, and the evolving landsca...

Reddit - Machine Learning · 1 min ·
Machine Learning

[D] AI/ML PhD Committee

A Reddit user seeks advice on selecting a PhD committee, highlighting the dilemma of choosing a well-connected professor with limited ava...

Reddit - Machine Learning · 1 min ·
Llms

I used 4 AI models as co-researchers (not just coding assistants) to run real experiments on a theoretical hypothesis. Here's what I learned

The article discusses the author's experience using four AI models as co-researchers to test a theoretical hypothesis about reality, high...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[D] Works on flow matching where source distribution comes from dataset instead of Gaussian noise?

This Reddit discussion explores the feasibility of flow matching in image generation, questioning whether source distributions can extend...

Reddit - Machine Learning · 1 min ·
Machine Learning

[D] MICCAI 2026 Submission guidelines

The MICCAI 2026 submission guidelines emphasize the importance of originality in submissions, stating that works must not be published or...

Reddit - Machine Learning · 1 min ·
Data Science

Data Analyst - Remote (US) | $90-125 per/hr

A remote Data Analyst position is available for US professionals, offering $90-125 per hour. The role focuses on database management, sec...

Reddit - ML Jobs · 1 min ·
Machine Learning

Advice Needed: What AI/ML Topic Would Be Most Useful for a Tech Talk to a Non-ML Tech Team? [D]

A PhD student seeks advice on AI/ML topics suitable for a tech talk aimed at a non-ML tech team in a manufacturing company, emphasizing p...

Reddit - Machine Learning · 1 min ·
Jobs: Who is hiring in AI, robotics and automation right now?
Robotics

Jobs: Who is hiring in AI, robotics and automation right now?

This article highlights 14 organizations in Ireland currently hiring for roles in AI, robotics, and automation, offering opportunities fo...

AI News - General · 7 min ·
Ai Startups

AI Industry Questions

High school student J. Rollins seeks insights into careers in artificial intelligence, focusing on education, responsibilities, challenge...

Reddit - Artificial Intelligence · 1 min ·
OpenAI Fires an Employee for Prediction Market Insider Trading | WIRED
Ai Safety

OpenAI Fires an Employee for Prediction Market Insider Trading | WIRED

OpenAI has terminated an employee for insider trading on prediction markets, raising concerns about the ethical implications of using con...

Wired - AI · 7 min ·
Llms

[D] Rule of thumb to decrease dimensionality.

The article discusses strategies for reducing the dimensionality of input vectors in neural networks, proposing a rule of thumb for layer...

Reddit - Machine Learning · 1 min ·
Machine Learning

[Hire Me] 3rd-Year IIT Roorkee Student ( ML builder) | Shipped End-to-End MLOps & RAG Pipelines | Seeking Paid ML/MLOps Internships

A 3rd-year IIT Roorkee student specializing in machine learning seeks paid internships, highlighting their experience with MLOps and RAG ...

Reddit - ML Jobs · 1 min ·
Machine Learning

[D] PhD in AI but no job — why not build your own?

The article discusses the challenges faced by PhD graduates in AI when seeking employment and suggests that they consider building their ...

Reddit - Machine Learning · 1 min ·
Machine Learning

Fed on Reams of Cell Data, AI Maps New Neighborhoods in the Brain

Researchers are enhancing brain mapping by utilizing AI to analyze cellular data, leading to more detailed and functional brain maps that...

Reddit - Artificial Intelligence · 1 min ·
[2512.01292] Diffusion Model in Latent Space for Medical Image Segmentation Task
Machine Learning

[2512.01292] Diffusion Model in Latent Space for Medical Image Segmentation Task

This article presents MedSegLatDiff, a novel diffusion model for efficient medical image segmentation that enhances interpretability by g...

arXiv - AI · 4 min ·
[2601.23276] Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging
Machine Learning

[2601.23276] Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging

This article presents a physics-based framework for synthesizing CCD noise in astronomical imaging, addressing noise limitations in curre...

arXiv - Machine Learning · 4 min ·
[2512.05251] One-Step Diffusion Samplers via Self-Distillation and Deterministic Flow
Machine Learning

[2512.05251] One-Step Diffusion Samplers via Self-Distillation and Deterministic Flow

The paper presents a novel one-step diffusion sampler that utilizes self-distillation and deterministic flow to enhance sampling efficien...

arXiv - Machine Learning · 3 min ·
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