deep-learning

A systematic review of 161 peer-reviewed publications found that AI research in food safety has expanded rapidly, rising from one study in 2012 to 46 in 2023. The review shows that machine learning and deep learning are being studied for pathogen detection, chemical contamination prediction, food fraud screening, outbreak surveillance, and regulatory decision-making, but data gaps, class imbalanc…

Gives some intuition concerning how initially random recurrent neural networks can be trained to produce complex behaviors mimicking input/output relationships of recurrent neural networks in the brain. The important thing here is that these networks can produce complex temporal dynamics (even in the absence of input) unlike the static feedforward neural networks we discussed before.

A systems-level deep dive into the hidden microarchitectural costs of Kubernetes GPU time-slicing, and what it actually costs to co-locate Agentic AI workloads. The post GPU Time-Slicing for Concurrent LLM Agents on Kubernetes appeared first on Towards Data Science .

Hurricane forecasting by humans can take a few hours to reach a conclusion. Google’s DeepMind is eight times faster than that, the company claims

Scientific Reports, Published online: 14 June 2026; doi:10.1038/s41598-026-53279-9 Depression detection from multimodalities based on LeNet with hunter-geese optimization

Scientific Reports, Published online: 14 June 2026; doi:10.1038/s41598-026-52786-z Principled XAI analysis of the deep learning-based landslide susceptibility prediction model

"AI", "machine learning", "deep learning", "GenAI" — used interchangeably every day, and it's wrong. Here's the single picture that fixes it forever. This is Day 1 of AIFromZero: one big AI idea a day, explained for everyone — no code required. They're nested, not rivals AI ⊃ ML ⊃ DL ⊃ GenAI Deep Learning is inside Machine Learning, which is inside Artificial Intelligence. Every DL system is ML; …

Today I completed Week 1 of Course 2 (Advanced Learning Algorithms) in the Machine Learning Specialization. This week was exciting because I moved beyond traditional Machine Learning and started learning about Neural Networks and TensorFlow. Topics covered: ✅ Neural Networks Intuition ✅ Neural Network Models ✅ Forward Propagation ✅ TensorFlow Implementation ✅ Neural Network Implementation in Pyth…

Bengali OCR is challenging due to complex characters and handwriting variations. This paper proposes a lightweight CNN with 40×40 input for real-time Bengali OCR, achieving 98.29% accuracy with reduced computational complexity for edge deployment.

Scientific Reports, Published online: 13 June 2026; doi:10.1038/s41598-026-57763-0 Deep learning based apple leaf disease detection using spatially modulated continuouslayer

TL;DR: Google released DiffusionGemma, an open Apache 2.0 diffusion-based LLM that generates text up to 4x faster than autoregressive models, hitting 1,000+ tokens/sec on a single H100 and fitting in 18 GB VRAM. It trades some accuracy for speed. Here is what that means in practice. What DiffusionGemma Actually Is Google DeepMind released DiffusionGemma , the first production-grade open-weight mo…

For nearly a decade, this part of neural networks barely changed. DeepSeek is trying to reinvent it. The post Why Decade-Old Residual Connections Still Power All of AI (And Why That’s a Problem) appeared first on Towards Data Science .

A comprehensive guide covering history, techniques, datasets, algorithms, tools, real-world applications, and final year project ideas for image reconstruction using deep learning. Table of Contents Introduction History and Evolution of Image Reconstruction Types of Image Reconstruction How Deep Learning Transformed Image Reconstruction Top Datasets for Image Reconstruction Popular Algorithms and…

IntroductionTumor heterogeneity poses a significant challenge for predicting responses to cancer therapy, highlighting the need for the development of biomarkers to guide personalized treatment. Contrast-enhanced ultrasound (CEUS) imaging is an established method to assess tumor perfusion, which directly affects drug delivery and therapeutic efficacy, as poorly perfused tumors often limit the pen…