Synerise AI/BigData Research | SAIR

Latest — Sep 1, 2025

Enhancing Streaming and Request Handling Efficiency with gRPC and Coroutines: Part 4

In this article, we dive into how a gateway can handle complex SQL queries by streaming results in manageable chunks instead of trying to load gigabytes of data at once. What I really like here is the transition from a blocking, synchronous model to an asynchronous coroutine-based approach.

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Synerise Releases Latest Version of BaseModel.ai on Snowflake Marketplace

Synerise has launched the latest version of BaseModel.ai, a tool designed to work with behavioral data, now available on Snowflake Marketplace. This collaboration enables users to access advanced behavioral modeling, delivering personalized customer experiences through precise predictions.

The Evolution of the RecSys Challenge

🚀 Introduction Recommender systems have undergone significant evolution since their inception, gaining momentum after the landmark research paper published in 1994. The first research paper on recommender systems was published by Resnick, Iacovou, Suchak, Bergstrom, and Riedl. This field has expanded considerably over the years, driven by key challenges and competitions

Enhancing Streaming and Request Handling Efficiency with gRPC and Coroutines: Part 3

Overview In previous articles, we primarily focused on the gateway side, where we handle requests from OQS and fetch the necessary data from workers. The gateway operates as both a client and a server. To manage the heavy workload of handling 2,160 workers with only 64 threads, we use

Enhancing Streaming and Request Handling Efficiency with gRPC and Coroutines: Part 2

Explore how to handle thousands of workers (2,160 and growing) using gRPC, coroutines, and asynchronous communication.

Synerise Introduces Cleora.ai 2.0: Redefining Entity Representation Learning

Synerise is thrilled to announce the release of Cleora.ai 2.0, the latest version of our cutting-edge, open-source solution for scalable and efficient entity representation learning.

Enhancing Streaming and Request Handling Efficiency with gRPC and Coroutines: Part 1

In this article, we dive deep into the technical challenges and solutions behind building a gateway server capable of handling millions of requests per minute.

AI for good: Cleora.AI created by Synerise in Biomedical Sciences.

Artificial Intelligence for drug development in medicine is very hot topic nowadays - which definitely will revolutionize this market segment in the next few years. How can we support this transformation by open sourcing top-notch AI solution which we created in Synerise? "Drug companies look to AI to end

BaseModel vs HSTU for sequential recommendations

In May 2024, a preprint titled "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" [1] was posted by Meta AI researchers to ArXiv. The preprint introduced a novel recommender, referred to as 'HSTU' which stands for “Hierarchical Sequential Transduction Units” promising new state-of-the-art

BaseModel vs TIGER for sequential recommendations

In December 2023, a paper titled "Recommender Systems with Generative Retrieval" [1] was presented by researchers at NeurIPS 2023. This paper introduced a novel recommender system, referred to as 'TIGER,' which garnered significant attention due to its innovative approach and state-of-the-art results in sequential recommendation tasks.