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Baldur's Gate 3 dramatic memory optimizations on Xbox could benefit PC and other platforms

Baldur's Gate 3, the award-winning CRPG created by the role-playing specialists at Belgian developer Larian Studios, is officially being ported to Xbox Series X|S consoles. The version. ....

Swen Vincke , Larian Studios , Xbox Series , Pc Gaming , Baldurs Gate 3 , Xbox Series S ,

Boosting Your eCommerce Empire with Jorge Zuñiga Blanco: Mastering SEO for Visibility and Rankings

Boosting Your eCommerce Empire with Jorge Zuñiga Blanco: Mastering SEO for Visibility and Rankings
webwire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from webwire.com Daily Mail and Mail on Sunday newspapers.

Costa Rica , Keyword Research , Boosting Your , Ecommerce Empire , Search Engine Optimization , Insights Explored , Press Release Image , Press Release , Ews Release ,

Advanced tech company, PhaseV, has raised $15 million in funding

Advanced tech company, PhaseV, has raised $15 million in funding that it says it will use to ‘push the boundaries of machine learning for clinical trial optimization’. ....

Zvika Orron , Miriam Kidron , Raviv Pryluk , Noam Ohana , Oramed Pharmaceuticals Inc , Viola Ventures , Exor Ventures , Pharmaceuticals Inc , Markets Amp Regulations , Machine Learning , Clinical Trial ,

"Optimizing Sample Delivery in RF-Charging Multi-Hop IoT Networks" by Muchen Jiang and Kwan Wu Chin

This paper studies sample delivery in a multi-hop network where a power beacon charges devices via radio frequency (RF) signals. Devices forward samples with a deadline from a source to a sink. The goal is to minimize the power beacon’s transmit power and guarantee that samples arrive at the sink with probability (1-) by their deadline, where is a given probability of failure. A key challenge is that the power beacon does not have instantaneous channel gains information to devices and also between devices; i.e., it does not know the energy level of devices. To this end, we formulate a chance-constrained stochastic program for the problem at hand, and employ the sample-average approximation (SAA) method to compute a solution. We also outline two novel approximation methods: Sampling based Probabilistic Optimal Power Allocation (S-POPA) and Bayesian Optimization based Probabilistic Optimal Power Allocation (BO-POPA). Briefly, S-POPA generates a set of candidate solutions and iterativel ....

Probabilistic Optimal Power Allocation , Bayesian Optimization , Array Signal Processing , Energy Transfer , Imperfect Knowledge , Nternet Of Things , Monte Carlo , Robabilistic Logic , Radio Frequency , Resource Management , Stochastic Optimization ,

"A novel intrusion detection system in cloud infrastructure using deep " by Dharani Kumar Talapula, Adarsh Kumar et al.

One of the business strategies for selling computer resources with services and technology for better use of computing infrastructures is Cloud computing (CC). Nowadays, every IT company prefers cloud computing because it provides consumers with flexible, pay-per-use services. Due to its open and distributed structure, which is susceptible to attackers, thereby, privacy and security is a key obstacle to its sustainability. The most prevalent approach for detecting assaults on the cloud is known to be Intrusion Detection System (IDS). This article aims to propose a novel intrusion pattern detection system (IPDS) in cloud computing that includes three stages: (1) pre-processing, (2) feature extraction, and (3) classification. At first, pre-processing is performed on the input data via Z-score normalization and then feature extraction is performed along with statistical and higher-order statistical features. Subsequently, the extracted features are given to the classification phases that ....

Quantum Neural Network , Intrusion Detection System , Optimized Quantum Neural Network , Cubic Chaotic Map , Mouse Based Optimization , Cloud Computing , Intrusion Detection ,