deep-learning

A mathematician compared the feat to IBM's history-making Deep Blue computer beating Gary Kasporov at chess in 1977

Part of the TechAarvam workshop support files — Build Your Own Model . Attention is simpler than you think A hand-crafted superhero transformer This notebook presents a hand-crafted example. The goal is to understand the intuition behind the attention block in the transformer architecture. Attention and FFN are the two main components. FFN is an Artificial neural network (ANN) with 1 input, 1 hid…

Journal of Mechatronics and Robotics, Published online: 8 September 2026; doi:10.3844/jcssp.2026.2540.2572 Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by ...

Scientific Reports, Published online: 08 September 2026; doi:10.1038/s41598-026-70854-2 A personalized federated deep learning framework predicts student performance in large-scale examinations across heterogeneous regional distributions

Journal of Computer Science, Published online: 7 September 2026; doi:10.3844/jcssp.2026.2692.2699 Understanding patients' experiences with medications is essential for improving drug effectiveness, detecting potential side effects, and enhancing overall patient satisfaction. This research inv...

An AI enthusiast has conducted an experiment where OpenAI's new GPT-6 Astra played through the entirety of Valve's Portal 3D puzzler game on its own.

The complexity of data pertaining to patients diagnosed with cancer requires a shift from fragmented, unimodal diagnostics towards multimodal artificial intelligence (MAI) in order to achieve true precision oncology. In this literature review we examined the landscape of unimodal data modalities used in oncological practice including clinical records, multi-scale imaging (radiology and histopatho…

Wellbore trajectory deviation remains one of the major operational challenges encountered during directional and extended-reach drilling because even small departures from the planned well path can lead to poor reservoir placement, wellbore instability, increased non-productive time, and significant drilling costs. In most field operations, trajectory monitoring depends on periodic directional su…

Scientific Reports, Published online: 07 September 2026; doi:10.1038/s41598-026-70203-3 Correction: Hybrid deep learning framework for image restoration in Fso systems affected by log-normal fading

Accurate water quality forecasting is essential for protecting aquatic ecosystems and securing global water supplies, yet traditional models often struggle with the complex, nonlinear dynamics of algal blooms. A new study reveals that deep learning architectures can be systematically matched to ecological time scales, dramatically improving predictions of chlorophyll a--a key indicator of phytopl…

Scientific Reports, Published online: 06 September 2026; doi:10.1038/s41598-026-68755-5 Deep learning technique for rice leaf disease classification and severity level identification via Hybrid ResConvolutional Neural Network

Scientific Reports, Published online: 06 September 2026; doi:10.1038/s41598-026-70665-5 A multi-task deep learning network for robust and high accuracy star sensor image centroiding

Originally published on tamiz.pro . The Reality Behind the Hype Every wave of AI agent enthusiasm follows the same arc: early prototypes that work in isolation, rapid demos powered by generous API credits, and then a crash into production constraints where reliability becomes non-negotiable. The journey from a $5.70/month proof-of-concept to systems serving hundreds of thousands of users is litte…