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The blogpost announces the first Machine Unlearning Challenge, which aims to develop efficient, effective, and ethical unlearning algorithms to remove the influence of specific training examples from trained machine learning models while maintaining model accuracy and generalization.

Transforming life sciences by leveraging data sharing in healthcare for advancing medical breakthroughs and improving patient outcomes.

Reviewing advancements in Spark Structured Streaming since Project Lightspeed announcement

A summary of the announcements made at the 2023 Data + AI Summit regarding new developments in data engineering and streaming.

Announcement of Delta Lake 3.0 with new universal format and liquid clustering

The challenges and responsibilities of deploying artificial intelligence (AI) in enterprises.

Introducing the English SDK for Apache Spark, a transformative tool designed to enrich your Spark experience.

Experience the power of row-level secondary indexing in Apache Parquet, enabling 3-20X faster upserts and efficient table ACID operations in Lakehouse architecture.

Reducing computational expense of large language models to make them faster and more robust.

Sharing insights gathered from conversations in 22 countries and discussing how to incorporate them moving forward.

Meta is transferring its IP for Evenstar to the Open Compute Project (OCP) to accelerate the adoption of open RAN technologies, providing the telecom industry with an open, white box radio unit solution.

This technical blogpost discusses the development of on-device diffusion plugins for conditioned text-to-image generation, enabling controllable text-to-image generation to be run on mobile devices.