Christian Klein, CEO of SAP predicts the end of the keyboard as we enter the era of Applied AI and voice commands.

Abstract: Recent advancements in learning from graph-structured data have highlighted the importance of graph convolutional networks (GCNs). Despite some research efforts on the theoretical aspects of ...

Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...

macOS software group delivering optimized tools with stable workflows. Beyond task distribution, Prism leverages predictive data caching and incremental rendering to keep scrolling and zooming smooth, ...

Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to detect weaknesses and propose fixes to the company’s platforms. ATA was born ...

What is financial analysis software? Nowadays, financial advisors and RIAs rely heavily on technology to manage data and support smarter client decisions. As regulations become stricter, financial ...

With the widespread adoption of virtualization tech nology in cloud and edge computing, traditional malware detection methods face significant challenges due to the complexity of dynamic virtual ...

With the recent popularity of neural networks comes the need for efficient serving of inference workloads. A neural network inference workload can be represented as a computational graph with nodes as ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

Portfolio management software is an essential tool for RIAs who want to manage and monitor client assets efficiently. Think of it as your firm’s command center where you keep track of client ...