Uplatz is a global IT Training & Consulting company
Executive Summary The artificial intelligence industry is on a collision course with global sustainability imperatives. While “Green Computing” offers a portfolio of powerful mitigation strategies, current evidence suggests that the Read More …
The Brain as a Network: Foundational Principles of Connectomics The quest to understand the human mind is inextricably linked to the challenge of deciphering the brain’s staggering complexity. For centuries, Read More …
I. Introduction: The Engineering of Evolution Defining Directed Evolution: A Paradigm Shift in Protein Engineering Directed evolution has matured from a novel academic concept into a transformative protein engineering technology, Read More …
Executive Summary The semiconductor industry is undergoing a foundational shift, driven by the maturation of the RISC-V instruction set architecture (ISA). Originating as an academic project, RISC-V has rapidly evolved Read More …
Introduction Neuroplasticity, also known as neural plasticity, is the fundamental capacity of the nervous system to undergo adaptive structural and functional changes in response to intrinsic and extrinsic stimuli.1 This Read More …
Part I: The Principles of Engineering Biology Section 1. From Silicon to Carbon: The Electronic Circuit Analogy Synthetic biology is a field driven by a powerful central premise: that the Read More …
Executive Summary The advent of artificial intelligence is catalyzing a paradigm shift in the corporate world, a transformation far more profound than the mere integration of smart features into products. Read More …
Executive Summary Solid-state batteries (SSBs) represent the most anticipated technological leap in electrochemical energy storage since the commercialization of the lithium-ion battery (LIB). By replacing the flammable liquid electrolyte and Read More …
1. Introduction: The Genesis and Evolution of Automated Architecture Design 1.1. From Manual Artistry to Algorithmic Discovery: The Motivation for NAS The rapid advancements in deep learning over the past Read More …
Part I: The Reverse Engineering Paradigm As artificial intelligence systems, particularly deep neural networks, achieve superhuman performance and become integrated into high-stakes domains, the imperative to understand their internal decision-making Read More …