I replaced Google Search with DuckDuckGo and Perplexity - my results were noticeably better

With Google now a cesspool of AI-generated answers, here's how to work smarter: DuckDuckGo and Perplexity are the best ...

‘No poaching’ our people, China's AI behemoth DeepSeek reportedly tells investors

The unusual precondition underscores how the contest among Chinese tech giants to build advanced AI has tipped into open ...
Tech Xplore

DeepSeek valued at more than $50 bn after funding round: reports

Investors have valued Chinese artificial intelligence startup DeepSeek at more than $50 billion in the company's first ...
DIGITIMES

Inside DeepSeek's US$7.4 billion funding raise: China's AI champion keeps investors close and control closer

Chinese AI lab DeepSeek has closed its first external funding round, raising more than CNY50 billion (approx. US$7.4 billion) ...

China’s DeepSeek reportedly raises $7.4B in funding at $50B+ valuation

Chinese artificial intelligence lab DeepSeek has reportedly raised more than 50 billion yuan, or $7.4 billion, in new funding ...

When deep research isn't enough for your business: Sakana AI launches 'ultra deep research' agent for 100+ page reports in 8 hours

Neither Sakana AI nor its external AI service providers will use customer data or inputs for model training or fine-tuning ...
VentureBeat

Databricks built a RAG agent it says can handle every kind of enterprise search

Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...
GitHub

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Graph convolutional network (GCN) has been successfully applied to many graph-based applications; however, training a large-scale GCN remains challenging. Current SGD-based algorithms suffer from ...
IEEE

A Deep Learning Algorithm for Power Transformer Voiceprint Recognition in Strong-Noise and Small-Sample Scenarios

Abstract: Transformer voiceprint recognition, which involves the analysis of transformer sounds to detect potential faults, has become a research hot spot in recent years. However, sound signals are ...
Frontiers

A deep learning-based cascade algorithm for pancreatic tumor segmentation

Pancreatic tumors are small in size, diverse in shape, and have low contrast and high texture similarity with surrounding tissue. As a result, the segmentation model is easily confused by complex and ...
Nature

Automated discovery of algorithms from data

Human reasoning discovers principles from the world and systematizes them into rule-based knowledge such as mathematical equations, medical treatment protocols, chemical synthesis pathways and ...
IEEE

An Improved Neural Network Classification Algorithm by Expanding Training Samples for Polarimetric SAR Application

Abstract: The idea of spatial correlation has been used in polarimetric synthetic aperture radar (PolSAR) classification for many years. It is common that the bigger the spatial correlation, the more ...