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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 ·
Machine Learning

[R] First open-source implementation of Hebbian fast-weight write-back for the BDH architecture

The BDH (Dragon Hatchling) paper (arXiv:2509.26507) describes a Hebbian synaptic plasticity mechanism where model weights update during i...

Reddit - Machine Learning · 1 min ·
Ai Infrastructure

Persistent memory changes how people interact with AI — here's what I'm observing

I run a small AI companion platform and wanted to share some interesting behavioral data from users who've been using persistent cross-se...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.23611] LLMORPH: Automated Metamorphic Testing of Large Language Models
Llms

[2603.23611] LLMORPH: Automated Metamorphic Testing of Large Language Models

Abstract page for arXiv paper 2603.23611: LLMORPH: Automated Metamorphic Testing of Large Language Models

arXiv - Machine Learning · 4 min ·
[2603.23544] DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction
Machine Learning

[2603.23544] DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction

Abstract page for arXiv paper 2603.23544: DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio...

arXiv - Machine Learning · 4 min ·
[2603.23539] PLDR-LLMs Reason At Self-Organized Criticality
Llms

[2603.23539] PLDR-LLMs Reason At Self-Organized Criticality

Abstract page for arXiv paper 2603.23539: PLDR-LLMs Reason At Self-Organized Criticality

arXiv - Machine Learning · 3 min ·
[2603.24503] Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling
Machine Learning

[2603.24503] Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling

Abstract page for arXiv paper 2603.24503: Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Networ...

arXiv - Machine Learning · 3 min ·
[2603.24213] Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute Leakage
Machine Learning

[2603.24213] Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute Leakage

Abstract page for arXiv paper 2603.24213: Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link...

arXiv - Machine Learning · 4 min ·
[2603.24186] TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs
Machine Learning

[2603.24186] TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs

Abstract page for arXiv paper 2603.24186: TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs

arXiv - Machine Learning · 4 min ·
[2603.24143] Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations
Machine Learning

[2603.24143] Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations

Abstract page for arXiv paper 2603.24143: Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations

arXiv - Machine Learning · 4 min ·
[2603.24105] Causality-Driven Disentangled Representation Learning in Multiplex Graphs
Machine Learning

[2603.24105] Causality-Driven Disentangled Representation Learning in Multiplex Graphs

Abstract page for arXiv paper 2603.24105: Causality-Driven Disentangled Representation Learning in Multiplex Graphs

arXiv - Machine Learning · 3 min ·
[2603.23985] Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score
Llms

[2603.23985] Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score

Abstract page for arXiv paper 2603.23985: Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score

arXiv - Machine Learning · 3 min ·
[2603.23961] GRMLR: Knowledge-Enhanced Small-Data Learning for Deep-Sea Cold Seep Stage Inference
Machine Learning

[2603.23961] GRMLR: Knowledge-Enhanced Small-Data Learning for Deep-Sea Cold Seep Stage Inference

Abstract page for arXiv paper 2603.23961: GRMLR: Knowledge-Enhanced Small-Data Learning for Deep-Sea Cold Seep Stage Inference

arXiv - Machine Learning · 4 min ·
[2603.23889] Off-Policy Safe Reinforcement Learning with Constrained Optimistic Exploration
Ai Safety

[2603.23889] Off-Policy Safe Reinforcement Learning with Constrained Optimistic Exploration

Abstract page for arXiv paper 2603.23889: Off-Policy Safe Reinforcement Learning with Constrained Optimistic Exploration

arXiv - Machine Learning · 3 min ·
[2603.23629] Steering Code LLMs with Activation Directions for Language and Library Control
Llms

[2603.23629] Steering Code LLMs with Activation Directions for Language and Library Control

Abstract page for arXiv paper 2603.23629: Steering Code LLMs with Activation Directions for Language and Library Control

arXiv - Machine Learning · 3 min ·
[2603.23568] Causal Reconstruction of Sentiment Signals from Sparse News Data
Ai Infrastructure

[2603.23568] Causal Reconstruction of Sentiment Signals from Sparse News Data

Abstract page for arXiv paper 2603.23568: Causal Reconstruction of Sentiment Signals from Sparse News Data

arXiv - Machine Learning · 4 min ·
[2603.23565] Safe Reinforcement Learning with Preference-based Constraint Inference
Machine Learning

[2603.23565] Safe Reinforcement Learning with Preference-based Constraint Inference

Abstract page for arXiv paper 2603.23565: Safe Reinforcement Learning with Preference-based Constraint Inference

arXiv - Machine Learning · 4 min ·
[2603.23566] AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization
Ai Infrastructure

[2603.23566] AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization

Abstract page for arXiv paper 2603.23566: AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization

arXiv - Machine Learning · 4 min ·
Llms

How do you save and organize your Gemini Deep Research outputs? Curious what workflows people use

I've been using Gemini for deep research and architecture planning, and the outputs are genuinely impressive. But I keep running into the...

Reddit - Artificial Intelligence · 1 min ·
Ai Infrastructure

What happens when you give an AI editorial discipline instead of just writing ability?

Most AI writing tools optimize for one thing: generate text quickly. Ask for an article, get an article. The speed is impressive. The out...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Small Models Are Getting Easy. Serving Them Still Isn't

submitted by /u/armynante [link] [comments]

Reddit - Artificial Intelligence · 1 min ·
Mark Zuckerberg and Jensen Huang are part of Trump’s new ‘tech panel’ | The Verge
Ai Infrastructure

Mark Zuckerberg and Jensen Huang are part of Trump’s new ‘tech panel’ | The Verge

The first four members of Trump’s tech advisory panel include tech CEOs Mark Zuckerberg, Jensen Huang, and Larry Ellison, along with Goog...

The Verge - AI · 4 min ·
Machine Learning

“AI” is a description, not the thing itself. Are we missing a word?

We keep talking about “AI” as if it were the name of an entity. But artificial intelligence is not the entity. It is a description. Intel...

Reddit - Artificial Intelligence · 1 min ·
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Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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