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1095
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Research Proposal: Decoupled
RISC-LLM
Architectures via Circadian Synaptic Consolidation
⚙️
Systems Programming
aermia.com
·
4d
4 days ago
·
Hacker News
Actions for Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation
LLM
Research Papers: The 2026 List (January to May)
📈
Incremental Computation
Content type:
News
magazine.sebastianraschka.com
·
5d
5 days ago
·
Hacker News
Actions for LLM Research Papers: The 2026 List (January to May)
LLMs+Graphs: Toward Graph-Native, Synergistic
AI
Systems
🔢
Linear Types
Content type:
Academic
arxiv.org
·
12h
12 hours ago
Actions for LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems
Issue #390 - The ML Engineer 🤖
🧹
Memory Management
Content type:
News
Content type:
Blog
machinelearning.substack.com
·
4d
4 days ago
·
Substack
Actions for Issue #390 - The ML Engineer 🤖
ml-from-scratch-book/code: Companion code for
Machine
Learning
From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and
PyTorch
.
⏩
SIMD
Content type:
Code
github.com
·
2d
2 days ago
·
Hacker News
Actions for ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
Machine
Unlearning: Can
Artificial
Intelligence
Really Forget?
📈
Incremental Computation
Content type:
Blog
medium.com
·
6d
6 days ago
Actions for Machine Unlearning: Can Artificial Intelligence Really Forget?
Fine
tuning classification in Elixir
λ
Functional Programming
elixirstatus.com
·
3d
3 days ago
Actions for Fine tuning classification in Elixir
New comment by perturbation in "Ask HN: Who wants to be hired? (June 2026)"
💻
Programming
drive.google.com
·
6d
6 days ago
·
Hacker News
Actions for New comment by perturbation in "Ask HN: Who wants to be hired? (June 2026)"
Are
Neural
Networks
Collision Resistant?
🔓
Lock-free Algorithms
link.aps.org
·
6d
6 days ago
Actions for Are Neural Networks Collision Resistant?
Backpropagation
Without the Magic: A First-Principles Derivation
📈
Incremental Computation
Content type:
Blog
medium.com
·
6d
6 days ago
Actions for Backpropagation Without the Magic: A First-Principles Derivation
Paper:
LLM
Translation of Compiler Intermediate Representation
🏗️
Compiler Design
compilers.iecc.com
·
5d
5 days ago
Actions for Paper: LLM Translation of Compiler Intermediate Representation
Neutron star merger simulations gain new precision with
AI-driven
r-process heating
⏱️
Tokio
phys.org
·
3d
3 days ago
Actions for Neutron star merger simulations gain new precision with AI-driven r-process heating
Loss Landscape Diagnosis for Gradient-Based Gray-Scott System Inversion: Disentangling the Roles of PINN Components
🏞️
Region-based Memory
Content type:
Academic
arxiv.org
·
12h
12 hours ago
Actions for Loss Landscape Diagnosis for Gradient-Based Gray-Scott System Inversion: Disentangling the Roles of PINN Components
I stopped using most of Rust’s advanced features for my ML library
🧮
Heterogeneous Computing
Content type:
Code
github.com
·
2d
2 days ago
·
r/rust
Actions for I stopped using most of Rust’s advanced features for my ML library
DataXflowGen for GenAI-driven
model
generation
📈
Incremental Computation
Content type:
Academic
nature.com
·
5d
5 days ago
Actions for DataXflowGen for GenAI-driven model generation
SpikeDecoder: Realizing the GPT Architecture with Spiking
Neural
Networks
🏞️
Region-based Memory
Content type:
Academic
arxiv.org
·
12h
12 hours ago
Actions for SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks
Physics-Distilled
Neural
Network
enabled by
Large
Language Models for Manufacturing Process-Property Predictive Modeling
🏞️
Region-based Memory
Content type:
Academic
arxiv.org
·
12h
12 hours ago
Actions for Physics-Distilled Neural Network enabled by Large Language Models for Manufacturing Process-Property Predictive Modeling
Turing universal
neural
networks
do not require global clocks
λ
Functional Programming
Content type:
Academic
nature.com
·
6d
6 days ago
·
Hacker News
Actions for Turing universal neural networks do not require global clocks
Learning
from almost nothing: How
neural
networks
survive heavy input corruption
🏞️
Region-based Memory
Content type:
Academic
arxiv.org
·
12h
12 hours ago
Actions for Learning from almost nothing: How neural networks survive heavy input corruption
A Scalable
PyTorch
Abstraction for Multi-GPU Gaussian Splatting
🧮
Heterogeneous Computing
Content type:
Academic
arxiv.org
·
12h
12 hours ago
Actions for A Scalable PyTorch Abstraction for Multi-GPU Gaussian Splatting
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