Why marketing mix modeling is still hard to get right

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

Indian lab designs quantum algorithm to beat classical computers

Working with IBM Quantum, BITS scientists simulated the behaviour of subatomic particles on 120 qubits of an IBM processor; in a first for Indian labs, the Quantum Advantage Tracker has deemed the ...
Analytics Insight

8 Best Online Excel Courses with Certification for 2026 (Beginner to Expert)

Excel is everywhere—more than 750 million people open a workbook each year to balance budgets, fine-tune supply chains, and ...

Meta launches image generation model with coding, search capabilities

Meta Platforms Inc. today debuted an image generation model that can write code and search the web. Muse Image is the second ...
technologynetworks

Single-Cell RNA-Seq Data Analysis With AI: Tools, Workflows, and Biological Interpretation

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
Tech Times

Most AI Models Would Run Your Company Into the Ground, Princeton’s CEO-Bench Finds

Princeton’s CEO-Bench gave 14 AI models $1 million to run a simulated SaaS startup for 500 days. Most went bankrupt or lost ...

IT Academy STEP Georgia Launches AI Engineering Program Focused on Real-World Deployment Autonomous & Systems

Tbilisi, Georgia, June 22nd, 2026, FinanceWireAs artificial intelligence reshapes global industries, the demand for ...
IEEE

EMT-DAKT: Evolutionary Multi-Objective Multi-Task Optimization Algorithm Using Deep Models With Adaptive Knowledge Transfer

Abstract: Evolutionary multi-objective multi-task optimization (MO-MTO) can optimize multiple tasks simultaneously by knowledge transfer (KT) between tasks. However, the existing MO-MTO algorithms ...
The Lancet

Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre ...

aInstitute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing, China ...
IEEE

A Coherent Approach-Based Fine-Tuning of Segment Anything Model Plus Watershed Algorithm for Instance Segmentation of Mitochondria in Electron Microscopy Images

Abstract: Increasingly available ultrastructural data from a continuously growing diversity of experimental conditions are driving new opportunities for fruitful neuroscientific hypotheses tested in ...
Journal of Medical Internet Research

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

We evaluated six machine learning models: deep neural network, logistic regression, decision tree, random forest, light gradient boosting machine, and naïve Bayes for predicting postoperative AKI, ...
BMJ

Development of phenotype algorithms for the detection of adverse events in electronic health record data: a multicentre study

5 Institute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, Bonn, Germany 6 Institute of Experimental and Clinical Pharmacology and Toxicology, ...