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.| Synerise AI/BigData Research
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.| Synerise AI/BigData Research
I was a fresh-faced newcomer to the tech world when I joined Synerise 1.5 years ago, with no commercial experience and just a few small projects done by myself.| Synerise AI/BigData Research
🚀 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| Synerise AI/BigData Research
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| Synerise AI/BigData Research
Explore how to handle thousands of workers (2,160 and growing) using gRPC, coroutines, and asynchronous communication.| Synerise AI/BigData Research
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.| Synerise AI/BigData Research
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.| Synerise AI/BigData Research
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| Synerise AI/BigData Research
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”| Synerise AI/BigData Research
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.| Synerise AI/BigData Research
Understanding human behavior is a complex and challenging task. Behavioral modeling domain spanning tasks such as recommendation, propensity-to-buy, or LTV, require solutions tailored to domain's specific requirements. However, solutions are often copy-pasted from other domains. In behavioral modeling, we aim to predict future behaviors based on user'| Synerise AI/BigData Research
When we created our EMDE algorithm we primarily had in mind the domain of behavioral profiling. For this reason, we were looking for a method to aggregate multiple events represented by various types of embeddings. However recently, a similar method was developed in the visual domain for two-dimensional data. Researchers| Synerise AI/BigData Research
In this article we introduce BaseModel, a tool which makes the most of event data reflecting user behavior. Working with clients in many different industries, we have observed that large company data is often underutilized. Here we will discuss where our research on BaseModel arises from, how we meet strict| Synerise AI/BigData Research
Enhancing the capabilities of TerrariumDB, a real-time, schema-less database engine, is our top priority. Currently, our analytics backend relies on a JSON-based API, which proves vital on a daily basis. However, we are excited to announce the integration of SQL support, paving the way for a future of expanded functionality| Synerise AI/BigData Research
Last year, in the Terrarium Team we’ve decided to migrate our internal network communication from REST and WebSockets to gRPC. TerrariumDB is a distributed database system so choosing the right protocol can significantly improve its performance, similar to how optimizing code or algorithms can bring about similar benefits.| Synerise AI/BigData Research
