Using Unity to Help Solve Intelligence
Creating diverse, complex virtual simulations using Unity game engine for reinforcement learning purposes.
Breaking down global barriers to access
Highlighting the progress and expansion of the DeepMind scholarship program to foster global access and inclusivity in education
FermiNet: Quantum Physics and Chemistry from First Principles
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.
Testing SQL for BigQuery
The blogpost explores the importance of testing SQL data pipelines and describes the approach taken to test them at SoundCloud.
Fast reinforcement learning through the composition of behaviours
Efficient machine learning by re-combining previously learned abilities to tackle new challenges.
Finding memory leaks with Memtrace
The blogpost discusses how Memtrace can help in finding memory leaks and distinguishing between expected and suspicious memory allocations.
Project Cambria: Translate your data with lenses
Exploring the use of bidirectional lenses for schema changes in distributed software
OpenAI licenses GPT-3 technology to Microsoft
Exploring the OpenAI and Microsoft partnership for GPT-3 technology integration
Pagination Updates on Our API
Introducing updates on how we paginate over tracks on our API, impacting developers and apps.
Memory allocator showdown
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
Generative language modeling for automated theorem proving
Exploring generative language modeling's role in automated theorem proving.
Learning to summarize with human feedback
Improving summarization tasks through human feedback integration