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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

[2603.00691] AIoT-based Continuous, Contextualized, and Explainable Driving Assessment for Older Adults
Data Science

[2603.00691] AIoT-based Continuous, Contextualized, and Explainable Driving Assessment for Older Adults

Abstract page for arXiv paper 2603.00691: AIoT-based Continuous, Contextualized, and Explainable Driving Assessment for Older Adults

arXiv - AI · 4 min ·
[2603.00585] MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation
Generative Ai

[2603.00585] MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation

Abstract page for arXiv paper 2603.00585: MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation

arXiv - AI · 4 min ·
[2603.00374] Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning
Data Science

[2603.00374] Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning

Abstract page for arXiv paper 2603.00374: Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning

arXiv - AI · 4 min ·
[2603.00350] Monotropic Artificial Intelligence: Toward a Cognitive Taxonomy of Domain-Specialized Language Models
Llms

[2603.00350] Monotropic Artificial Intelligence: Toward a Cognitive Taxonomy of Domain-Specialized Language Models

Abstract page for arXiv paper 2603.00350: Monotropic Artificial Intelligence: Toward a Cognitive Taxonomy of Domain-Specialized Language ...

arXiv - AI · 4 min ·
Machine Learning

looking for entry level/internship ML position

i'm interrested in a career in ml engineering, i can analyse data for decision making, maintain or build data pipelines, train/fine tune ...

Reddit - ML Jobs · 1 min ·
Tech workers urge DOD, Congress to withdraw Anthropic label as a supply chain risk | TechCrunch
Data Science

Tech workers urge DOD, Congress to withdraw Anthropic label as a supply chain risk | TechCrunch

Tech workers have signed an open letter urging the Department of War to withdraw its designation of Anthropic as a "supply chain risk" an...

TechCrunch - AI · 5 min ·
[2508.03716] FeynTune: Large Language Models for High-Energy Theory
Llms

[2508.03716] FeynTune: Large Language Models for High-Energy Theory

Abstract page for arXiv paper 2508.03716: FeynTune: Large Language Models for High-Energy Theory

arXiv - Machine Learning · 3 min ·
[2405.12317] Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
Nlp

[2405.12317] Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators

Abstract page for arXiv paper 2405.12317: Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integra...

arXiv - Machine Learning · 4 min ·
[2208.14960] Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case
Machine Learning

[2208.14960] Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case

Abstract page for arXiv paper 2208.14960: Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the com...

arXiv - Machine Learning · 4 min ·
[2602.12147] It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
Llms

[2602.12147] It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks

Abstract page for arXiv paper 2602.12147: It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks

arXiv - Machine Learning · 4 min ·
[2602.00423] Federated-inspired Single-cell Batch Integration in Latent Space
Machine Learning

[2602.00423] Federated-inspired Single-cell Batch Integration in Latent Space

Abstract page for arXiv paper 2602.00423: Federated-inspired Single-cell Batch Integration in Latent Space

arXiv - Machine Learning · 4 min ·
[2512.00306] VCWorld: A Biological World Model for Virtual Cell Simulation
Machine Learning

[2512.00306] VCWorld: A Biological World Model for Virtual Cell Simulation

Abstract page for arXiv paper 2512.00306: VCWorld: A Biological World Model for Virtual Cell Simulation

arXiv - Machine Learning · 3 min ·
[2511.21135] SocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation
Llms

[2511.21135] SocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation

Abstract page for arXiv paper 2511.21135: SocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation

arXiv - AI · 4 min ·
[2511.18326] General vs Domain-Specific CNNs: Understanding Pretraining Effects on Brain MRI Tumor Classification
Machine Learning

[2511.18326] General vs Domain-Specific CNNs: Understanding Pretraining Effects on Brain MRI Tumor Classification

Abstract page for arXiv paper 2511.18326: General vs Domain-Specific CNNs: Understanding Pretraining Effects on Brain MRI Tumor Classific...

arXiv - AI · 4 min ·
[2510.13358] Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control
Machine Learning

[2510.13358] Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control

Abstract page for arXiv paper 2510.13358: Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control

arXiv - AI · 3 min ·
[2510.05228] CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers
Llms

[2510.05228] CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers

Abstract page for arXiv paper 2510.05228: CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers

arXiv - Machine Learning · 4 min ·
[2509.25084] Scaling Generalist Data-Analytic Agents
Machine Learning

[2509.25084] Scaling Generalist Data-Analytic Agents

Abstract page for arXiv paper 2509.25084: Scaling Generalist Data-Analytic Agents

arXiv - Machine Learning · 4 min ·
[2509.24945] MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes
Llms

[2509.24945] MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes

Abstract page for arXiv paper 2509.24945: MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training R...

arXiv - AI · 4 min ·
[2508.21048] Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning
Machine Learning

[2508.21048] Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning

Abstract page for arXiv paper 2508.21048: Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning

arXiv - AI · 4 min ·
[2602.24264] Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models
Machine Learning

[2602.24264] Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models

Abstract page for arXiv paper 2602.24264: Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Mo...

arXiv - Machine Learning · 4 min ·
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Related Topics

Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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