Scheme
PulseAugur coverage of Scheme — every cluster mentioning Scheme across labs, papers, and developer communities, ranked by signal.
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New neuro-symbolic frameworks boost AI learning efficiency and weak supervision · 2 sources tracked
Researchers have developed a Native Differentiable Virtual Machine (NDVM) that efficiently handles neuro-symbolic learning by differentiating executable programs without compiling each into a separate graph. This approa…
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New compiler enables differentiable interpretation of Scheme programs
Researchers have developed a novel compiler that translates a subset of the Scheme programming language into differentiable computation graphs. This system enables differentiable meta-circular interpretation (DMCI), all…
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Developer builds Scheme Lisp compiler for WebAssembly
A developer created a Lisp dialect, specifically Scheme, that compiles to WebAssembly and runs within a web browser. This project, which involved approximately one week of development, aims to provide a functional Lisp …
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Lisp, Scheme projects reveal mixed stances on AI code contributions
A recent survey of Lisp and Scheme programming projects reveals varying stances on the use of AI-generated code. As of May 2026, many projects have established policies, with some strictly prohibiting LLM contributions …
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Neural Compiler translates programs to differentiable PyTorch modules
Researchers have developed "The Neural Compiler," a system that translates symbolic programs into differentiable PyTorch modules for scientific machine learning. This approach allows for the exact encoding of known phys…