LLMs at the Edge: Decentralized Power and Control
Most of the Large Language Models’ applications have been implemented in centralized cloud environments, raising concerns about latency, privacy, and energy use. This chapter examines the possibility of using LLMs in decentralized edge computing, in which computing assignments are partitioned across connected devices instead of distant hosts. Therefore, by applying approaches like quantization, model compression, […]
Data Sovereignty: Designing AI for Local Control
The issues of data ownership – and dominance over it – have become one of the topics linked with the growing adoption of digital technology. In this chapter, the author explains what data sovereignty is, when it is used, and how artificial intelligence is decentralized rather than centralized. Given the local jurisdiction and global privacy […]
Agentic AI in Healthcare: From Assistance to Autonomy
Introduction Healthcare is one of the most data-rich and complex industries in the world. With electronic health records (EHRs), medical imaging, genomics, wearable devices, and clinical trial data, the challenge lies not in scarcity of information but in making sense of it at scale. Traditional AI systems have shown promise in diagnostics, drug discovery, and […]
Implementing Privileged Access Management Solutions: Challenges and Best Practices
Abstract: Privileged Access Management (PAM) is a critical component in securing privileged accounts, credentials, and secrets in enterprise environments. This article delves into the implementation of PAM solutions, outlining the challenges encountered and the best practices to overcome them. It serves as a comprehensive guide for organizations aiming to bolster their cybersecurity posture through effective PAM […]
Operational Lessons from Running High-Availability Java Systems
High availability Java systems sit quietly behind many of the services people depend on every day. Financial platforms, communications systems, and regulated enterprise applications all rely on Java services that are expected to stay up, stay consistent, and fail gracefully when something goes wrong. On paper, these systems are designed with redundancy, failover, and monitoring […]
From Chips to Datacenters: Why Datacenter as a Chip Is Becoming the New AI Architecture
Introduction Artificial intelligence workloads are pushing modern datacenters to their architectural limits. As AI models scale across thousands of accelerators, traditional datacenter designs built around loosely coupled servers and software managed coordination increasingly struggle with latency variability, inefficient memory access, and unpredictable performance at scale. To address these challenges, the industry is undergoing a fundamental […]
Artificial Intelligence in the New Era: Transforming Quality Control in Pharma and Life Sciences
Abstract The emergence of Artificial Intelligence (AI) has marked a significant shift in how industries operate, particularly in highly regulated sectors such as pharmaceuticals and life sciences. In the new era of digital transformation, AI is no longer a future concept but an active enabler of quality control, compliance, and operational efficiency. This article explores […]
Multimodal AI Advances as Enterprises Seek More Human-Like Intelligence
Artificial intelligence is entering a new phase with the rapid advancement of multimodal AI systems—models capable of processing and reasoning across text, images, audio, video, and structured data simultaneously. Unlike traditional AI models that operate within a single data modality, multimodal systems can combine diverse inputs to generate richer, more context-aware insights. This capability is […]
Solid-State Batteries Edge Closer to Commercial Reality
Solid-state battery technology is gaining renewed momentum as researchers and manufacturers push toward safer, higher-capacity, and longer-lasting energy storage solutions. Unlike conventional lithium-ion batteries that rely on liquid electrolytes, solid-state batteries use solid materials to transport ions. This structural change enables higher energy density, improved thermal stability, and reduced risk of leakage or fire—key limitations […]
Edge AI Chips Gain Traction as Intelligence Moves Closer to Devices
Edge AI is rapidly gaining momentum as organizations deploy specialized AI chips directly on devices to process data locally rather than relying solely on centralized cloud infrastructure. Edge AI chips are designed to perform machine learning inference close to the source of data—such as sensors, cameras, industrial equipment, and consumer devices—reducing latency, bandwidth usage, and […]