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Google quietly releases an offline-first AI dictation app on iOS | TechCrunch
Machine Learning

Google quietly releases an offline-first AI dictation app on iOS | TechCrunch

Google's new offline-first dictation app uses Gemma AI models to take on the apps like Wispr Flow.

TechCrunch - AI · 4 min ·
Top 10 AI certifications and courses for 2026
Ai Startups

Top 10 AI certifications and courses for 2026

This article reviews the top 10 AI certifications and courses for 2026, highlighting their significance in a rapidly evolving field and t...

AI Events · 15 min ·
[2603.18109] Discovery of Bimodal Drift Rate Structure in FRB 20240114A: Evidence for Dual Emission Regions
Machine Learning

[2603.18109] Discovery of Bimodal Drift Rate Structure in FRB 20240114A: Evidence for Dual Emission Regions

Abstract page for arXiv paper 2603.18109: Discovery of Bimodal Drift Rate Structure in FRB 20240114A: Evidence for Dual Emission Regions

arXiv - AI · 4 min ·

All Content

[2602.18308] JPmHC Dynamical Isometry via Orthogonal Hyper-Connections
Machine Learning

[2602.18308] JPmHC Dynamical Isometry via Orthogonal Hyper-Connections

The paper presents JPmHC, a framework enhancing deep learning stability by replacing identity skips in residual connections with a traina...

arXiv - AI · 4 min ·
[2602.17797] Deep Learning for Dermatology: An Innovative Framework for Approaching Precise Skin Cancer Detection
Machine Learning

[2602.17797] Deep Learning for Dermatology: An Innovative Framework for Approaching Precise Skin Cancer Detection

This article presents a deep learning framework for improving skin cancer detection using VGG16 and DenseNet201 models, achieving an accu...

arXiv - Machine Learning · 4 min ·
[2602.17784] QueryPlot: Generating Geological Evidence Layers using Natural Language Queries for Mineral Exploration
Machine Learning

[2602.17784] QueryPlot: Generating Geological Evidence Layers using Natural Language Queries for Mineral Exploration

QueryPlot introduces a framework for generating geological evidence layers using natural language queries, enhancing mineral exploration ...

arXiv - AI · 4 min ·
[2602.18253] MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data
Machine Learning

[2602.18253] MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data

This paper presents a novel approach to speech/silence detection using MEG-based models, demonstrating the effectiveness of transfer lear...

arXiv - Machine Learning · 3 min ·
[2602.18248] Neural-HSS: Hierarchical Semi-Separable Neural PDE Solver
Machine Learning

[2602.18248] Neural-HSS: Hierarchical Semi-Separable Neural PDE Solver

The paper presents Neural-HSS, a novel architecture for solving partial differential equations (PDEs) efficiently using deep learning, de...

arXiv - Machine Learning · 4 min ·
[2602.17750] Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models
Machine Learning

[2602.17750] Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models

This article presents Inelastic Constitutive Kolmogorov-Arnold Networks (iCKANs), a novel machine learning framework for automating the d...

arXiv - AI · 4 min ·
[2602.17749] Detection and Classification of Cetacean Echolocation Clicks using Image-based Object Detection Methods applied to Advanced Wavelet-based Transformations
Machine Learning

[2602.17749] Detection and Classification of Cetacean Echolocation Clicks using Image-based Object Detection Methods applied to Advanced Wavelet-based Transformations

This paper explores the use of advanced wavelet transformations and image-based object detection methods to improve the detection and cla...

arXiv - AI · 4 min ·
[2602.17739] GeneZip: Region-Aware Compression for Long Context DNA Modeling
Llms

[2602.17739] GeneZip: Region-Aware Compression for Long Context DNA Modeling

GeneZip introduces a novel DNA compression model that optimizes genomic data representation by focusing on region-aware compression, achi...

arXiv - Machine Learning · 4 min ·
[2602.18227] Parameter-Efficient Domain Adaptation of Physics-Informed Self-Attention based GNNs for AC Power Flow Prediction
Machine Learning

[2602.18227] Parameter-Efficient Domain Adaptation of Physics-Informed Self-Attention based GNNs for AC Power Flow Prediction

This paper presents a novel approach to domain adaptation for AC power flow prediction using physics-informed self-attention based graph ...

arXiv - Machine Learning · 4 min ·
[2602.18216] Generative Model via Quantile Assignment
Machine Learning

[2602.18216] Generative Model via Quantile Assignment

The paper introduces NeuroSQL, a novel generative model that eliminates auxiliary networks, achieving superior image quality and reduced ...

arXiv - Machine Learning · 4 min ·
[2602.17734] Five Fatal Assumptions: Why T-Shirt Sizing Systematically Fails for AI Projects
Llms

[2602.17734] Five Fatal Assumptions: Why T-Shirt Sizing Systematically Fails for AI Projects

This paper critiques the T-shirt sizing estimation method in AI projects, highlighting five key assumptions that often lead to failure an...

arXiv - AI · 4 min ·
[2602.18195] LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification
Machine Learning

[2602.18195] LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification

The paper presents LERD, a Bayesian neural system designed to enhance EEG-based diagnosis of Alzheimer's disease by modeling latent neura...

arXiv - Machine Learning · 3 min ·
[2602.17709] UBio-MolFM: A Universal Molecular Foundation Model for Bio-Systems
Llms

[2602.17709] UBio-MolFM: A Universal Molecular Foundation Model for Bio-Systems

UBio-MolFM presents a universal molecular foundation model designed to enhance all-atom molecular simulations, bridging the gap between q...

arXiv - AI · 4 min ·
[2602.18168] A Deep Surrogate Model for Robust and Generalizable Long-Term Blast Wave Prediction
Machine Learning

[2602.18168] A Deep Surrogate Model for Robust and Generalizable Long-Term Blast Wave Prediction

The paper presents RGD-Blast, a deep surrogate model designed for accurate long-term blast wave prediction, addressing challenges in comp...

arXiv - Machine Learning · 4 min ·
[2602.18160] Unifying Formal Explanations: A Complexity-Theoretic Perspective
Machine Learning

[2602.18160] Unifying Formal Explanations: A Complexity-Theoretic Perspective

This paper presents a unified framework for understanding formal explanations in machine learning, focusing on the computational complexi...

arXiv - Machine Learning · 4 min ·
[2602.18146] Stable Long-Horizon Spatiotemporal Prediction on Meshes Using Latent Multiscale Recurrent Graph Neural Networks
Machine Learning

[2602.18146] Stable Long-Horizon Spatiotemporal Prediction on Meshes Using Latent Multiscale Recurrent Graph Neural Networks

This paper presents a novel deep learning framework for stable long-horizon spatiotemporal predictions on complex geometries, particularl...

arXiv - Machine Learning · 4 min ·
[2602.18131] Learning Long-Range Dependencies with Temporal Predictive Coding
Machine Learning

[2602.18131] Learning Long-Range Dependencies with Temporal Predictive Coding

The paper presents a novel method combining Temporal Predictive Coding with Real-Time Recurrent Learning to effectively learn long-range ...

arXiv - Machine Learning · 3 min ·
[2602.18117] Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
Machine Learning

[2602.18117] Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning

The paper presents Flow Matching with Injected Noise (FINO), a novel method enhancing offline-to-online reinforcement learning by improvi...

arXiv - Machine Learning · 3 min ·
[2602.18114] Non-Stationary Online Resource Allocation: Learning from a Single Sample
Machine Learning

[2602.18114] Non-Stationary Online Resource Allocation: Learning from a Single Sample

The paper presents a novel approach to online resource allocation under non-stationary demand, requiring minimal offline data. It introdu...

arXiv - Machine Learning · 4 min ·
[2602.18109] TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs
Machine Learning

[2602.18109] TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs

TempoNet introduces a novel reinforcement learning scheduler that utilizes a transformer architecture for efficient real-time task dispat...

arXiv - Machine Learning · 4 min ·
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