The Multi-Trillion-Dollar Battle for Your Attention Is Built on a Lie

We definitely have an attention problem, but it’s not just a function of the digital technology that pings and beeps and ...

A Visual Model Of Self-Attention: Transformers Work Differently Now

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

DeepSeek to launch new AI model focused on coding in February, The Information reports

Chinese AI startup DeepSeek is expected to launch its next-generation AI model V4, featuring strong coding capabilities, in ...
Scientific Research Publishing

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case Study of Guangzhou South Railway Station ()

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
AZoMining on MSN

GOG-RT-DETR: A breakthrough in graphite ore grade detection

GOG-RT-DETR improves graphite ore grade detection, combining deep learning innovations for faster, more accurate mineral ...

TII’s Falcon H1R 7B can out-reason models up to 7x its size — and it’s (mostly) open

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...
EurekAlert!

Maize-IRNet: a deep-learning “field scorer” for tassel anthers and ear seed set

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.
EurekAlert!

From time series to a single snapshot: A smarter way to track wheat growth in real time

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...
IEEE

A Hybrid Deep Learning Approach for Skin Lesion Segmentation With Dual Encoders and Channel-Wise Attention

Abstract: Skin cancer poses a significant global health challenge due to its increasing incidence rates. Accurate segmentation of skin lesions is essential for early detection and successful treatment ...
C&EN

3D Molecule Generation via Diffusion Model with a Self-Attention-Based EGNN

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Innovative drugs represent a critical approach to addressing ...
C&EN

Geometry-Driven Attention Model with 3D Molecular Features for Multi-Property Prediction of OLED Materials

As Organic Light-Emitting Diode (OLED) technology advances in applications such as high-end displays, medical devices, and VR/AR systems, the development of high-performance materials that improve ...