The next chapter for trading algorithms: Insight over access

How are leading firms redefining their competitive advantage in electronic fixed income trading? Explore the next frontier ...

Can Micron Stock Survive China’s Memory Playbook?

AI servers are driving unprecedented demand for high-bandwidth memory. Supply remains tight and DRAM prices have surged.
InfoWorld

How to improve the memory of AI agents

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
InfoWorld

Microsoft unveils Memora to tackle AI agents’ memory problem

The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...

New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
The Lancet

Long-term oncological outcomes following algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection: a post-hoc ...

aDepartment of Surgery, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St Antonius Hospital Nieuwegein, Utrecht University, Utrecht, Netherlands bDepartment of Medical Oncology, ...
IEEE

A Review of Machine Learning Algorithms in Diabetes Management

Abstract: Diabetes is a prevalent and chronic disease affecting millions worldwide, posing significant challenges in its management and treatment. This review article aims to explore the current and ...
IEEE

A Robust Fault Identification and Location Algorithm for Efficient DC Microgrid Management

Abstract: In a ring-structured microgrid, the predominant bidirectional power flow is influenced by the distinct characteristics of distributed energy sources. The traditional approaches struggle to ...