BioSpace

Opinion: C-Suite Leaders Must Harness AI as a Partner and a Tool

AI is changing the nature of leadership in biopharma. Here’s how executives can not only adapt, but lead the way. As AI agents evolve from futuristic concepts to everyday tools, their impact on the ...
C&EN

Smart and Low-Cost Flexible Strain Sensor Based on Graphene-MWCNT Porous Elastic Sponge for Home Control and Object Grasping Recognition Using Machine Learning

School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, P. R. China Guangdong Provincial Key Laboratory of Sensing ...
Microsoft

Pattern Recognition and Machine Learning

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...
IEEE

Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms

Abstract: Air-writing is an emerging form of human-computer interaction that enables text entry through hand movements in the air. This paper explores air-writing-based person recognition alongside ...
PC Gamer

Black holes, buildings on poles, and a 'sea urchin planet': PUBG creator's world-sized tech demo may be hiding some bizarre machine learning 'hallucinations'

"There's always going to be a little hallucination" with machine learning, says PlayerUnknown Productions' engine team behind Preface: Undiscovered World. When you purchase through links on our site, ...
Scientific Research Publishing

Bishop, C.M. (2006) Pattern Recognition and Machine Learning. Springer Science+ Business Media.

ABSTRACT: The nature of rock fragmentation affects the downstream mining processes like loading, hauling, and crushing the blasted rock. Therefore, it is important to evaluate rock fragmentation after ...
IEEE

Comparative Analysis of Partial Discharge Pattern Recognition Using Deep Learning and Machine Learning

Abstract: Partial Discharge (PD) defect type analysis is important for evaluating insulation performance. A machine learning feature extraction algorithm is presented for AC PD pattern data collected ...