Why Google's Nano Banana Pro image model has such a weird name

Fruit names aren't uncommon in the technological space, with major brands like Apple or Blackberry coming front to mind.
Targeted Oncology

FDA Agrees to Trial Designs for CRB-701 in HNSCC and Cervical Cancer

The FDA and Corbus Pharmaceuticals Holdings, Inc., have agreed on second-line registrational study designs evaluating CRB-701 ...
GitHub

BONNI: Bayesian Optimization via Neural Network surrogates and Interior Point Optimization

BONNI optimizes any black box function WITH gradient information. Especially in optimizations with many degree of freedom, gradient-information increases optimization speed. In the image, the ...
IEEE

Safe Bayesian Optimization Across Noise Models via Scenario Programming

Abstract: Safe Bayesian optimization (BO) with Gaussian processes is an effective tool for tuning control policies in safety-critical real-world systems, specifically due to its sample efficiency and ...
C&EN

Autonomous Robotic Mechanical Exfoliation of Two-Dimensional Semiconductors Combined with Bayesian Optimization

State Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing 100084, China State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, Department of Mechanical ...
Scientific Research Publishing

Snoek, J., Larochelle, H. and Adams, R.P. (2012) Practical Bayesian Optimization of Machine Learning Algorithms. Advances in Neural Information Processing Systems, Vol. 5, 2951 ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
GitHub

mohansree14/Bayesian-Deep-Learning-for-Probabilistic-Financial-Forecasting

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
IEEE

Scalable Deep Bayesian Optimization for Antenna Design With High Degrees of Freedom

Abstract: We propose a novel, scalable deep Bayesian optimization (BO) methodology for designing antennas with a large number of design degrees of freedom. Conventional BO approaches in antenna design ...