MicroCloud Hologram Inc. Develops Approximate Quantum State Preparation and Entanglement-Dependent Complexity Algorithm Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...
The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
eLife

Linear and categorical coding units in the mouse gustatory cortex drive population dynamics and behavior in taste decision-making

Linear or categorical activity from neurons in the gustatory cortex is necessary for network dynamics and performance.
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
PCMag

Apple iPhone 17 Pro Max Review: A Mobile Creator's Dream Machine

Apple's iPhone 17 Pro Max is a productivity powerhouse that's worth the high price of entry for content creators who want the ...
dbta

Redis Feature Form Delivers an Enterprise Feature Store for Production Machine Learning

Redis, the world’s fastest data platform, is releasing Redis Feature Form, a managed feature store platform built to help enterprise ML teams bring features into production with more control, ...
Nature

Feature-indistinguishable machine unlearning via negative-hot label encoding and class weight masking

With the growing importance of data privacy and regulatory compliance, machine unlearning has become a critical requirement in deep learning. However, existing approaches often require access to the ...
Frontiers

Machine learning–guided feature selection and predictive model construction for attention-deficit/hyperactivity disorder

A total of 8,598 children were enrolled and classified into three groups: ADHD (n=3,678), subthreshold ADHD (s-ADHD) (n=1,495), and healthy controls (HC) (n=3,425). Data collection covered 40 ...
The Hollywood Reporter

Turning Dwayne Johnson into ‘The Smashing Machine’ Required a New Brow Bone, a Prosthetic Eyelid and a Whole Lot of Tattoo Removal

Prosthetic makeup designer Kazu Hiro details his process, right down to learning the actors’ sweat patterns and using seven different kinds of adhesive. By Bill Desowitz For The Smashing Machine, ...
EurekAlert!

An effective encoding of human medical conditions in disease space provides a versatile framework for deciphering disease associations

Uncovering complex disease patterns from large-scale, heterogeneous health data remains a significant challenge. Traditional statistical methods and conventional machine learning algorithms often ...
PNAS

Machine learning in chemistry

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...