Results 81 to 90 of about 468,074 (268)

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

open access: yesAdvanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka   +5 more
wiley   +1 more source

Reference architecture of the telecom network security protection system for cloud network convergence

open access: yesDianxin kexue, 2020
Cloud network convergence has become a development trend in the field of cloud computing and a key step in the strategic transformation of telecom operators.Firstly,the development status of cloud network convergencewas expounded from the aspects of its ...
Jian ZHANG   +3 more
doaj   +2 more sources

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee   +3 more
wiley   +1 more source

Securing Cloud from Cloud Drain

open access: yes, 2014
Today, in the world of communication, connected systems is growing at a rapid pace. To accommodate this growth the need for computational power and storage is also increasing at a similar rate. Companies are investing a large amount of resources in buying, maintaining and ensuring availability of the system to their customers. To mitigate these issues,
Das, Niva, Sarkar, Tanmoy
openaire   +2 more sources

Cloud Access Security Brokers (CASBs): Enhancing Cloud Security Posture

open access: yes, 2023
Cloud Access Security Brokers (CASBs): Enhancing Cloud ...
openaire   +1 more source

The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review

open access: yesAGING MEDICINE, EarlyView.
Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das   +9 more
wiley   +1 more source

Multilevel classification of security concerns in cloud computing

open access: yesApplied Computing and Informatics, 2017
Threats jeopardize some basic security requirements in a cloud. These threats generally constitute privacy breach, data leakage and unauthorized data access at different cloud layers.
Syed Asad Hussain   +4 more
doaj   +1 more source

SDN based Network Function Parallelism in Cloud

open access: yes, 2018
Network function virtualization (NFV) based service function chaining (SFC) allows the provisioning of various security and traffic engineering applications in a cloud network.
Chowdhary, Ankur, Huang, Dijiang
core  

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

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