Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.
Firms integrating AI and machine learning into their investment processes are building compounding advantages that late adopters may never overcome.
Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...
Future AI-guided genomic analysis offers the potential to further optimize gene constructs, expression profiles, and performance traits, accelerating the development of next-generation materials.
A new publication DOI 10.29026/oet.2025.250010 discusses how a photonic vibration perception system achieves stable ...
Hypermobile Ehlers–Danlos syndrome (hEDS) is one of the most common heritable connective tissue disorders. Early estimates have reported that this genetic disorder affects at least one in 5,000 ...
The Data Analysis Software Market was valued at USD 300 billion in 2024 and is projected to reach USD 500 billion by 2033, growing at a CAGR of 7.2% during the forecast period from 2026 to 2033. This ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.