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📊 Approximate Computing
Probabilistic Data Structures, Sketching, Sampling, Trade-offs
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A
Proof
of P =
NP
dev.to
·
4d
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Distributed Systems
AI
Inference
Needs A
Mix-And-Match
Memory Strategy
semiengineering.com
·
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Fastfood
: Approximate Kernel Expansions in
Loglinear
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dev.to
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Columnar Engines
Camera based true
random
number
generator
Beta
news.ycombinator.com
·
20h
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Apache Flink
Show HN: A
header-only
C++ benchmark for predictive models on raw
binary
streams
github.com
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Query Compilers
Mapping noise to
synthesis
recipes
with a generative diffusion model
nature.com
·
16h
⚙️
Query Compilers
Breaking the
Tractability
Barrier: A Generic Low-Level Solver for
NP-Hard
Instances (N=63) on Commodity 64-Bit Silicon
zenodo.org
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2h
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r/programming
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Columnar Engines
Scheduling in a changing world:
Maximizing
throughput with
time-varying
capacity
research.google
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Distributed Systems
Diffusion Models for
ARC-AGI
: A
Retrospective
christopherhwood.com
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Columnar Engines
Show HN: The
Algorithm
's Favorite Child
chatbotkit.com
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AI Detection
Implementing
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Basics
hackaday.com
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NumPy
Hello Edge: Keyword
Spotting
on
Microcontrollers
paperium.net
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Hardware Architecture
An introduction to
lockless
algorithms [
LWN.net
]
lwn.net
·
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Memory Safety
The “
Remask
&
Refine
” Coding Model That Beats Its AR Twin
hackernoon.com
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SIMD Optimization
Human-like Search for Modern
Applications
anvitra.ai
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Vector Databases
Is Your Machine Learning
Pipeline
as Efficient as it Could Be?
kdnuggets.com
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Columnar Engines
The Machine Learning
Practitioner
’s Guide to
Speculative
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machinelearningmastery.com
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Columnar Engines
AI
uncovers
solutions to
Erdős
problems, moving closer to transforming math
scientificamerican.com
·
11h
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NumPy
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Rotation
Learning in Geometric ML
hackernoon.com
·
1d
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Vector Databases
TileIR
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