The increasing complexity of cloud computing has brought both opportunities and challenges. Enterprises now depend heavily on intricate cloud-based infrastructures to ensure their operations run smoothly. Site Reliability Engineers (SREs) and DevOps teams are tasked with managing fault detection, diagnosis, and mitigation—tasks that have become more demanding with the rise of microservices and serverless architectures.… →

Static analysis is an inherent part of the software development process since it enables such activities as bug finding, program optimization, and debugging. The traditional approaches have two major drawbacks: methods based on code compilation are bound to fail in any development scenario where the code is incomplete or rapidly changing, and the need for… →

Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant text through sequential prediction. These LLms excel at handling large datasets and are very strong at translation, summarization, and conversational AI. However, achieving high quality in vision generation often comes at the cost of increased computational demands, especially for higher resolutions or longer… →

On December 20, OpenAI announced OpenAI o3, the latest model in its o-Model Reasoning Series. Building on its predecessors, o3 showcases advancements in mathematical and scientific reasoning, prompting discussions about its capabilities and constraints. This article takes a closer look at the insights and implications surrounding OpenAI o3, weaving in information from official announcements, expert… →

The Large Language Models (LLMs) are highly promising in Artificial Intelligence. However, despite training on large datasets covering various languages  and topics, the ability to understand and generate text is sometimes overstated. LLM applications across multiple domains have proven to have little impact on improving human-computer interactions or creating innovative solutions. This is because the… →

Reinforcement Learning, despite its popularity in a variety of fields, faces some fundamental difficulties that refrain users from exploiting its full potential. To begin with, algorithms like PPO, which are widely used, suffer from the curse of sample inefficiency (the need for multiple episodes to learn basic actions). Moving on, Off-Policy methods like SAC and… →

Viruses infect organisms across all domains of life, playing key roles in ecological processes such as ocean biogeochemical cycles and the regulation of microbial populations while also causing diseases in humans, animals, and plants. Viruses are Earth’s most abundant biological entities, characterized by rapid evolution, high mutation rates, and frequent genetic exchanges with hosts and… →