Unlocking high-performance photocapacitors for edge computing in low-light environments

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Edge-AI applications necessitate the joint application of hardware acceleration and software optimization to meet energy and area constraints. However, the co-design of these systems is hindered by the lack of integration options for novel hardware prototy ...

Developing agents that can reliably act on our behalf is central to artificial intelligence (AI). These agents must seamlessly interact with tools, like search engines and databases, and collaborate. In this thesis, we study the abstractions, methods, and ...

Highlights Integration of decentralized models with a centralized national energy system framework. Strategic reduction in photovoltaic (PV) installation requirements and system cost through decentralized approaches. Optimization of self-consumption to min ...

Articulating the interplay between collective memory and artificial intelligence, this paper examines the SAILDART archive, a unique digital collection derived from the backup tapes of the Stanford Artificial Intelligence Laboratory (SAIL). Preserved somew ...

As the demand for photovoltaic technologies continues to grow, the quest for efficient and sustainable transparent conducting electrodes (TCEs) rapidly rises. Traditional solutions, such as indium tin oxide (ITO), face challenges related to indium scarcity ...

Recent works have identified a gap between research and practice in artificial intelligence security: threats studied in academia do not always reflect the practical use and security risks of AI. For example, while models are often studied in isolation, th ...

This research aims to compare the greenhouse gas (GHG) emissions of new neighbourhood projects near the Rhône River in France and Switzerland. The study considers the influence of the river on energy demand and resilience to climate change of 12 project-ba ...

A review is given on the highlights of a scatter-shot approach of developing machine-learning methods and artificial neural networks based fast predictors for the application to fusion exhaust. The aim is to enable and facilitate optimized and improved mod ...

Spatially resolved photoluminescence (PL) and electroluminescence (EL) imaging technologies play a crucial role in evaluating the performance and stability of photovoltaic devices. However, their application in perovskite devices presents unique challenges ...

This symposium Article discusses issues raised for patent processes and policy created by inventions generated by artificial intelligence (“AI”). The Article begins by examining the normative desirability of allowing patents on AI-generated inventions. Whi ...

In the context of automatic visual inspection of infrastructures by drones, Deep Learning (DL) models are used to automatically process images for fault diagnostics. While explainable Artificial Intelligence (AI) algorithms can provide explanations to asse ...

Well beyond the impact of climate change, anthropogenic modifications of the Vietnam Mekong Delta's ecosystems have resulted in environmental degradation and subsequent loss in ecosystems. The environmental impacts include but are not limited to accelerate ...

The transition towards renewable energy is leading to an important strain on the energy grids. The question of designing and deploying renewable energy technologies in symbiosis with existing grids and infrastructure is arising. While current energy system ...

The presence of conversational agents (or chatbots) in educational contexts has been steadily increasing over the past few years. Recent surveys have shown widespread interest in the use of chatbots in education, both for research and practice. Although th ...

Microsupercapacitors (with footprints from -mm up to -cm scale) have attracted attention for use as electrochemical energy storage devices to power wearables, IoT, and other small microsystems due to their high power density, excellent charge/discharge rev ...

Unlocking high-performance photocapacitors for edge computing in low-light environments

Chat with Graph Search

HEEPstor: an Open-Hardware Co-design Framework for Quantized Machine Learning at the Edge

Collaborative AI Agents in the Era of Large Language Models

Power to the People: On the Role of Districts in Decentralized Energy Systems

Collective Memory Through Computer Memories: Retracing and Interpreting the Archive of the Stanford Artificial Intelligence Laboratory

Integration of Metal Meshes as Transparent Conducting Electrodes into Perovskite Solar Cells

Towards more Practical Threat Models in Artificial Intelligence Security

Reply to Dages et al: You AIn't using it right-artificial intelligence progress in allergy

The Effect of Rivers on Energy Balance at the Neighborhood Scale. A comparative analysis of four Rhodanian sites in France and Switzerland

Data-driven models in fusion exhaust: AI methods and perspectives

Anomalous Electroluminescence Characteristics of Perovskite Modules

AI-Generated Inventions: Implications for the Patent System

Exploiting Explanations to Detect Misclassifications of Deep Learning Models in Power Grid Visual Inspection

Atlas Narratives of Anthropogenic Transformations across the Vietnamese Mekong Delta's Urban-Rural Territories: Water Ecosystems as Subject for the Social Ecological Transition

On the role of energy infrastructure in the energy transition. Case study of an energy independent and CO2 neutral energy system for Switzerland

A Conceptual Framework for Integrating Conversational Agents in Digital Education

Additive Fabrication of Microsupercapacitors