Microsoft

AutoJack: How a single page can RCE the host running your AI agent

Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...

As Hollywood jobs dry up, workers are quietly training AI models to survive

As Hollywood jobs grow scarce, writers, editors, and executives are quietly taking AI training gigs just to make ends meet, ...

Here’s How to Opt Out of Google Search’s New AI Data Training Feature

Google’s Search history update stores media uploads from your interactions, like images used in reverse image searches, for ...
SciELO

LEAF NITROGEN CLASSIFICATION OF COMMON BEAN (PHASEOLUS VULGARIS L.) USING DEEP LEARNING MODELS AND IMAGES

Beans are a legume that is widely grown and consumed globally, being the staple food for humans in developing countries. Nitrogen (N) is the most limiting nutrient for yield and foliar analysis is ...
LinkedIn

SOP for Germany: Complete Guide + Winning Template (2026)

If you're applying to German universities for a Master's degree, your Statement of Purpose (SOP) can make or break your application. After reviewing over 1,000 applications to German universities ...
Scientific Research Publishing

Deep Learning-Based Multi-Class Classification of Retinal Diseases from OCT Images Using Transfer Learning ()

1 Amazon Web Services, Seattle, USA. 2 Rajiv Gandhi University of Knowledge Technologies, Nuzvid, India. Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for ...
EDN

Applying AI to RF design

Human inventions, namely engineered systems, have relied on fundamental discoveries in physics and mathematics, e.g., Maxwell’s equations, Quantum mechanics, Information theory, etc., thereby applying ...
LinkedIn

MATLAB and its applications in Data Science and Machine Learning

MATLAB is one of the most widely utilized computational software platforms. The initial version was developed in the late 1970s by Cleve Moler, the chairman of the computer science department at the ...
Nature

Transfer learning of pre-treatment quantitative ultrasound multi-parametric images for the prediction of breast cancer response to neoadjuvant chemotherapy

Locally advanced breast cancer (LABC) is a severe type of cancer with a poor prognosis, despite advancements in therapy. As the disease is often inoperable, current guidelines suggest upfront ...
Nature

Early stage black pepper leaf disease prediction based on transfer learning using ConvNets

Plants get exposed to diseases, insects and fungus. This causes heavy damages to crop resulting in various leaves diseases. Leaf diseases can be diagnosed at an early stage with the aid of a smart ...
Frontiers

Using transfer learning for automated microbleed segmentation

Cerebral microbleeds are small perivascular hemorrhages that can occur in both gray and white matter brain regions. Microbleeds are a marker of cerebrovascular pathology and are associated with an ...
Frontiers

External validation based on transfer learning for diagnosing atelectasis using portable chest X-rays

Although there has been a large amount of research focusing on medical image classification, few studies have focused specifically on the portable chest X-ray. To determine the feasibility of transfer ...