# torch

torch is the PyTorch API and includes tensor, neural-network, automatic-differentiation, accelerator, and distributed-computing components.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Jane Street's 2025 Intern Projects: SQL Evaluation, OCaml Torch Bindings, and Cross-Process Memory Management

DevFeed: [Jane Street's 2025 Intern Projects: SQL Evaluation, OCaml Torch Bindings, and Cross-Process Memory Management](<https://devfeed.tech/articles/what-the-interns-have-wrought-2025-edition-20240.md>)

Original publisher: [Read original article](<https://blog.janestreet.com/wrought-2025/>)

Author: Yaron Minsky

Published: 2025-08-27T00:00:00Z

Content type: article

Language: en

Sources: [Jane Street](<https://devfeed.tech/sources/jane-street.md>)

Topics: [OCaml](<https://devfeed.tech/topics/ocaml.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [torch](<https://devfeed.tech/topics/torch.md>), [Process](<https://devfeed.tech/topics/process.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [internship](<https://devfeed.tech/tags/internship.md>), [ocaml](<https://devfeed.tech/tags/ocaml.md>), [process](<https://devfeed.tech/tags/process.md>), [sql](<https://devfeed.tech/tags/sql.md>), [systems](<https://devfeed.tech/tags/systems.md>), [toolchains](<https://devfeed.tech/tags/toolchains.md>)

### AI overview

Jane Street's 2025 internship roundup highlights projects involving a more efficient evaluator for its internal JSQL dialect, OCaml torch bindings designed for safe and deterministic tensor cleanup, and ref-counted memory management across processes in trading systems. It also briefly describes other intern work in testing, build systems, CSS tooling, OCaml, data warehousing, and simulation.

### Source excerpt

Yet again, we're at the end of our internship season, and so it's time to summarize what the interns were up to!

## Torch for Deep Learning Research

DevFeed: [Torch for Deep Learning Research](<https://devfeed.tech/articles/torch-bleeding-edge-dnn-research-40103.md>)

Original publisher: [Read original article](<https://korbonits.com/blog/2015-06-28-torch-bleeding-edge-dnn-research/>)

Published: 2015-06-28T11:49:40Z

Content type: tutorial

Language: en

Sources: [Alex Korbonits](<https://devfeed.tech/sources/alex-korbonits.md>)

Topics: [torch](<https://devfeed.tech/topics/torch.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [bash](<https://devfeed.tech/tags/bash.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [lua](<https://devfeed.tech/tags/lua.md>), [research](<https://devfeed.tech/tags/research.md>), [torch](<https://devfeed.tech/tags/torch.md>)

### AI overview

This article introduces Torch as a Lua-based deep learning framework and discusses its use for research, including its ecosystem, flexibility, installation, and relationship to Python.

### Source excerpt

An introduction to Torch, the deep learning framework favored by Facebook AI and Google DeepMind for cutting-edge research.