Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Tech Xplore

New computational method combines modern density functional with adaptive algorithm to predict semiconductor properties

Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...
Phys.org

Quantum-inspired algorithm solves 268 million-site quasicrystal simulation in a heartbeat

Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
Medical Xpress

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
techtimes

Quantum Sensors Revolutionize Navigation and Measurement with Unmatched Precision and Accuracy

Quantum sensors are transforming how we measure and navigate, offering levels of precision far beyond classical systems. By exploiting atomic superposition, cold atom interferometers, and diamond NV ...
GitHub

bankers-algorithm

This Repo Consists of Source code of Process Scheduling Algorithms (FCFS,SJF,SRTF,Priority,Round Robin), Deadlock Prevention & Detection Algorithm - Safety Algorithms, Memory Allocation Schemes (First ...
TechCrunch

Inception raises $50 million to build diffusion models for code and text

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...
Scientific Research Publishing

Goldstein, M. and Uchida, S. (2016) A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data. PLOS ONE, 11, e0152173.

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
New Scientist

Light-based AI image generator uses almost no power

An AI image generator that uses light to produce images, rather than conventional computing hardware, could consume hundreds of times less energy. When an artificial intelligence model produces an ...
IEEE

Diffusion Model-Based Directional Target Detection for Robotic Sorting Task

Abstract: In the field of industrial automation, the efficiency and accuracy of robotic arm sorting tasks are crucial for increasing productivity. The core contribution of this study is the proposal ...