engblogs

Using deep learning, the FermiNet neural network architecture accurately computes the energy of atoms and molecules from first principles, paving the way for practical applications in quantum physics and chemistry.

The blogpost explores the importance of testing SQL data pipelines and describes the approach taken to test them at SoundCloud.

Efficient machine learning by re-combining previously learned abilities to tackle new challenges.

The blogpost discusses how Memtrace can help in finding memory leaks and distinguishing between expected and suspicious memory allocations.

Exploring the use of bidirectional lenses for schema changes in distributed software

Exploring the OpenAI and Microsoft partnership for GPT-3 technology integration

Introducing updates on how we paginate over tracks on our API, impacting developers and apps.

Comparing the new best-fit memory allocator in OCaml with the next-fit allocator and the challenges of evaluating them in a garbage-collected system

Exploring generative language modeling's role in automated theorem proving.

Improving summarization tasks through human feedback integration

Traffic prediction using advanced Graph Neural Networks.

Jane Street announces a new podcast called Signals and Threads and reveals the host.