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🔥 PyTorch
Deep Learning, Neural Networks, Model Training, GPU Computing
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anulum/sc-neurocore
: Verified Rust-based Neuromorphic Compiler. 512x Real-Time Speed. Bit-True FPGA Equivalence. (AGPLv3 / Commercial)
github.com
·
1h
·
Discuss:
Hacker News
🧠
deep learning
BitLogic
: Training Framework for Gradient-Based
FPGA-Native
Neural Networks
arxiv.org
·
2d
🧠
deep learning
Finding cancer cells in a
cocktail
of complex
tissues
sciworthy.com
·
42m
🕸
small web
EyesOff
: Why Some Models
Quantize
Better Than Others
ym2132.github.io
·
13h
·
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🧠
deep learning
Deepseek
v4lite这是吃了多少GPT5语料
linux.do
·
7h
🧠
deep learning
Generalized
Lanczos
method for systematic optimization of neural-network quantum states
link.aps.org
·
2h
🧠
deep learning
Faster
AI Training
Unlocked
With New System For Massive Language Models
quantumzeitgeist.com
·
2d
🧠
deep learning
Next-gen AI delivers accurate battery
diagnostics
and explosion risk
assessments
techxplore.com
·
15h
🧠
deep learning
A Hands-On Introduction to Restricted
Boltzmann
Machines with a Minimal
NumPy
Implementation
github.com
·
22h
·
Discuss:
DEV
🧠
deep learning
Architectural and Mathematical
Foundations
of Machine Learning: A
Rigorous
Synthesis of Theory, Geometry, and Implementation
chizkidd.github.io
·
23h
·
Discuss:
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🧠
deep learning
The Biological Computing Co. (
TBC
) Secures $25 Million Seed Round, First to Deploy
Neuron-Based
Alternative to Silicon AI
prnewswire.com
·
42m
🧠
deep learning
Applications
of AI in
Medicine
online.stanford.edu
·
5h
🧠
deep learning
Edge AI Chip
Solutions
hailo.ai
·
1d
🧠
deep learning
Show HN: Solving
Sudoku
reasoning via Energy
Geometric
models
davisgeometric.com
·
3h
·
Discuss:
Hacker News
🧠
deep learning
Chrome 146 Now In Beta With
WebNN
Origin
Trial For Neural Networks In The Browser
phoronix.com
·
18h
·
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Hacker News
🕸
small web
Order
parameters
and phase transitions of
continual
learning in deep neural networks
pnas.org
·
23h
🧠
deep learning
Robotics
Motion Learning: Training Linked Robot Arms with
Kuramoto
Models
hackernoon.com
·
20h
🤗
Hugging Face
A data-efficient foundation model for
porous
materials based on expert-guided
supervised
learning
nature.com
·
23h
📊
data science
VoidGAN
: A generative adversarial network for high-fidelity void fraction signal generation in nuclear reactor thermal
hydraulics
sciencedirect.com
·
22h
🧠
deep learning
From Lightweight CNNs to
SpikeNets
: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking
SqueezeNet
arxiv.org
·
1d
🧠
deep learning
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