Category: Machine Learning

As the market gears up for pre-market action, SAP SE (XETRA:SAP.DE) is in the spotlight, especially regarding its strategic pivot to AI and machine learning. Trading at 207.7 euros, SAP's adoption of intelligent technology is at the forefront of its growth strategy. Current market performance The pre-market price of SAP.DE is currently 207.7 EUR, reflecting […]

At Amazon, our culture built on honest and transparent discussions of growth opportunities allows us to focus on investment and innovation to continually improve the standards of our ability to deliver value to our customers. Earlier this month, I had the opportunity to share an example of this process in action with Amazon Bedrock's next-generation […]

In the ever-evolving landscape of edge computing and artificial intelligence, groundbreaking research has been uncovered that presents a new approach to the challenge of task offloading. This research, conducted by Vishwanath, Rajendra, and Gururaj, focuses on federated deep reinforcement learning and integrates knowledge distillation techniques to improve quality of experience (QoE) in containerized multi-access edge […]

Increasing demands for data privacy have necessitated “unlearning” techniques that effectively remove the influence of specific data points from trained machine learning models, and Carla Crivoi and Radu Tudor Ionescu from the University of Bucharest, along with colleagues, have published the first comprehensive empirical study of this process in the emerging field of quantum machine […]

Artificial intelligence is changing the way we approach diseases, from early stage detection to late stage onset. It is expected to uncover hidden biology, shorten development schedules, and make drug research and development more efficient. However, despite these advances in machine learning and data processing, there is still a fundamental problem that is hindering the […]

Quantum machine learning stands to revolutionize fields from drug discovery to materials science, but the development and implementation of these algorithms remains a major challenge. Jun-Jie He, Ke-Ming Hu, and Yu-Ze Zhu, along with colleagues including Guan-Ju Yan and Shu-Yi Liang from Shanghai Jiao Tong University, announced DeepQuantum, a new software platform designed to fill […]

This post was co-authored by Thomas Capelle and Ray Strickland of Weights & Biases (W&B). The adoption of generative artificial intelligence (AI) is accelerating across the enterprise, evolving from simple underlying model interactions to sophisticated agent workflows. As organizations move from proof of concept to production deployment, they need robust tools to develop, evaluate, and […]

In a breakthrough development in the field of artificial intelligence and fault detection, researchers have unveiled an innovative strategy aimed at monitoring cable systems in real time. This methodology incorporates adaptive enhancements in parallel with multiscale temporal modeling, providing innovative solutions to long-standing challenges in engineering. Continuous monitoring of cables has a significant impact on […]

In a notable research effort, a team led by Xing, Y. and joined by Wang, Y. and Huang, Y. has addressed the urgent problem of postoperative delirium, particularly in elderly patients suffering from hip fractures. This condition is often characterized by acute confusion, hallucinations, and disorientation and poses a serious risk to elderly surgical patients. […]

In a groundbreaking study published in the journal Scientific Reports, researcher K. Mao tackled the complexities of resource optimization in multi-access edge computing (MEC)-enabled heterogeneous networks (HetNets). The increasing demand for efficient network slicing has prompted the exploration of innovative approaches to optimize resource allocation. This study explores the use of multi-agent reinforcement learning (MARL) […]