Frontiers

Advanced AI for missing modality learning and uncertainty‑aware medical image analysis

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...
IT-Online

Data Scientist (Python, Machine Learning, LLMs) – (In Office) CPT – Western Cape Cape Town

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

AI prompts a memory-chip boom — and electronics inflation. Get used to it.

Google’s going to the movies, as it invested $75 million in the hot indie studio A24, along with a pledge to provide AI to ...
GlobalSpec Insights

Nuvoton launches NuML Studio: A simple tool to build and deploy AI on microcontrollers

NuML Studio is optimized for Windows and provides a "ready-to-use" version that does not require users to install Python or ...
IEEE

Object Detection in Images Using Machine Learning

Abstract: This study develops a scalable, effective, and user-friendly solution to tackle the problem of real-time object detection in photos. The suggested approach ...
Breaking Defense

NRO funds BlackSky for new satellites, AI-optimized image detection system

BlackSky's planned AROS wide-area surveillance satellites will tip and cue its Gen-3 birds designed for rapid revisit. (Image: BlackSky) WASHINGTON ― The National Reconnaissance Office (NRO) has ...
Frontiers

The importance of alignment: only highly targeted assessment items detect pre-post learning from a short biology lesson

Assessment instruments are critical to detecting student learning from instruction and interventions. When selecting an instrument, instructors face tension between using a published assessment that ...
IEEE

Advanced Medical Image Processing for Lung Cancer Detection using Machine Learning Algorithms

Abstract: One of the main causes of cancer-related deaths is lung cancer, and increasing survival rates requires early detection. The use of sophisticated machine learning (ML) algorithms to improve ...