More than half of surveyed IT professionals said monitoring data cost more than the infrastructure being watched, while many struggled to measure AI performance
PerturbAI, an AI-native biotechnology company, today announced results from its year-long collaboration with OpenAI to advance biomedical research and drug discovery. Working with Scripps Research, the teams developed an AI reasoning framework that helps scientists interpret large experimental datasets,
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
Kuwait-based AI-powered market research startup theQA has raised more than $550,000 in a Pre-Seed funding round, backed by a Kuwaiti family office and strategic angel investors. Founded in 2025 by Ahmad Al Ebrahim and Hussain Ali AlNashaba, theQA provides a digital consumer…
Text-to-image personalization aims to equip pretrained diffusion models with the ability to learn user-specific concepts from only a few reference images. Existing methods, however, typically train each concept independently or assume that all concepts are available…
Clustered federated learning (CFL) can suffer from cluster collapse. In particular, under unfavorable initialization, early client assignments concentrate heterogeneous groups on one cluster model, which is then trained toward a pooled compromise, while another model receives…
Online search activity is widely used as a digital trace of information seeking during epidemics, but its predictive value is often reduced to correlation, a selected lag, or a single forecast-error score. We examine eight pre-specified Google Trends-COVID-19 pairs in both…