Bergamo-Il Caravaggio
PulseAugur coverage of Bergamo-Il Caravaggio — every cluster mentioning Bergamo-Il Caravaggio across labs, papers, and developer communities, ranked by signal.
No coverage in the last 90 days.
- 2026-05-09 funding Lime (Neutron Holdings) has filed for an IPO to raise up to $250 million. source
2 day(s) with sentiment data
-
New framework enhances explainability for critical control systems
Researchers have developed a new framework called Hierarchical Causal Abduction (HCA) to make Model Predictive Control (MPC) systems more understandable. HCA combines physics-informed reasoning, optimization evidence fr…
-
Lime files for IPO, seeking $250M amid revenue growth and losses
Micromobility company Neutron Holdings, operating as Lime, has filed for an IPO with the SEC, aiming to raise up to $250 million. The company reported significant revenue growth, reaching $886.7 million in 2025, and has…
-
GRALIS framework unifies linear attribution methods for deep neural networks
Researchers have introduced GRALIS, a novel mathematical framework designed to unify various linear attribution methods used in Explainable AI (XAI). This framework establishes a canonical representation for attribution…
-
A.I.P.S. Security Expo 3 to focus on innovation and training in security in Bergamo
The A.I.P.S. Security Expo 3 will be held on May 15, 2026, at the Airport Hotel in Bergamo, Italy. This event is dedicated to training and innovation within the security sector. It aims to bring together professionals t…
-
A Graph-Augmented knowledge Distillation based Dual-Stream Vision Transformer with Region-Aware Attention for Gastrointestinal Disease Classification with Explainable AI
Researchers have developed a novel dual-stream deep learning framework for classifying gastrointestinal diseases from medical imagery. This system utilizes a teacher-student knowledge distillation approach, combining a …
-
New methods enhance low-light images using Retinex and Bayesian optimization
Researchers have developed FLARE-BO, an enhanced framework for improving low-light robotic vision. This new method expands upon a previous training-free approach by optimizing eight parameters, including gamma correctio…