OBOZREVATELOpinion

AI Customs Officer: The Only Honest Employee in Ukrainian Customs

AI has its limitations, and those need to be discussed too. Source: Customs Imagine a customs officer who works without ...

Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
CIDRAP

Artificial intelligence could usher in a new era of vaccine development

The COVID-19 vaccine was a triumph of science. Governments, researchers, and vaccine manufacturers worked in tandem to ...

Why broad targeting makes creative your best qualifier

See how precise messaging helps cut wasted spend, attract better prospects and give ad algorithms cleaner signals to optimize ...
AlphaGalileo

Transfer learning boosts leaf trait estimation from space

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...
Tech Times

ICML 2026 Opens in Seoul Next Week: Record 23,918 Submissions Signal AI Agent Safety Era

ICML 2026 opens in Seoul on July 6 with a record 23,918 submissions — more than double last year — and a research program ...

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 ...
Plastics Technology

Artificial Intelligence Approaches Expedite Engineering Workflows

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
BMJ

Development and validation of an interpretable machine learning model for predicting Philadelphia chromosome-positive acute lymphoblastic leukaemia using clinical and ...

2 State Key Laboratory of Trauma and Chemical Poisoning, Chongqing, China 3 Chongqing Key Laboratory of Hematology and Microenvironment, Chongqing, China Participants This study analysed 471 newly ...
IEEE

Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model

Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
Targeted Oncology

Machine Learning Model May Optimize Treatment Selection and Survival in HCC

The ML model stratifies HCC patients by mortality risk, guiding treatment decisions between liver transplantation and surgical resection. The model demonstrated improved survival outcomes, with a 54% ...