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NatalijaAAD
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Show HN: I took the calculator away from 50 LLMs and graded the arithmetic
(github.com)
7 points
by
NatalijaAAD
1mo ago
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2 comments
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by
NatalijaAAD
7mo ago
I'm afraid it doesn't even matter in this case. It can be anyone - with AI your ideas and expertise (which is what you're valued for - either as individual or a firm) are too easy to reproduce. But I will share here when we&#
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Tell HN: If your idea is worth stealing, AI makes it easy. NDA or not
4 points
by
NatalijaAAD
7mo ago
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2 comments
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Ask HN: Anyone fought a big corp over IP theft courts?
7 points
by
NatalijaAAD
7mo ago
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0 comments
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Interactive AAD Benchmarks: Automatic Differentiation for Derivatives Pricing
(matlogica.com)
1 points
by
NatalijaAAD
8mo ago
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0 comments
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Accelerating complex Python models by 300x+ – using Claude.ai [video]
(youtube.com)
2 points
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NatalijaAAD
9mo ago
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0 comments
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Is DeepSeek just a tip of a disruptive iceberg?
(instagram.flis11-2.fna.fbcdn.net)
1 points
by
NatalijaAAD
2y ago
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0 comments
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by
NatalijaAAD
2y ago
GitHub: https://github.com/matlogica/AADC-Python/tree/main/benchmark...
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by
NatalijaAAD
2y ago
It's still years, and likely - decades for quantum computers to be used in practice. There's hype in finance, too - but realistically, with proper developer tools, organisations can achieve over and above the required speeds using
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A Python Toolkit >40x faster than Jax, PyTorch and TF (for certain use cases)
(matlogica.com)
1 points
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NatalijaAAD
2y ago
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1 comments
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PoC or Integration? Or how startups are being used
(medium.com)
1 points
by
NatalijaAAD
2y ago
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0 comments
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by
NatalijaAAD
2y ago
Forgot to add GitHub: https://github.com/matlogica/AADC-Python
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by
NatalijaAAD
2y ago
We're working on a specialised graph compiler for speeding up simulations and computing derivatives automatically (backpropagation/adjoint differentiation). It now supports C++, Python, and C#; AVX2 and AVX512 instruction sets, mu
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Accelerating Simulations and Backpropagation with Python and C++ Analytics
(intel.com)
8 points
by
NatalijaAAD
2y ago
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0 comments