Experimental robot optimization often requires evaluating each candidate policy for seconds to minutes. The chosen evaluation time influences optimization becau...
Google's Gemini AI is getting what could prove to be a very big upgrade: To help answers from Gemini be more personalized, the company is going to let you conne...
This paper presents SiliconHealth, a comprehensive blockchain-based healthcare infrastructure designed for resource-constrained regions, particularly sub-Sahara...
This paper presents SiliconHealth, a comprehensive blockchain-based healthcare infrastructure designed for resource-constrained regions, particularly sub-Sahara...
VoiceRun, a startup that creates voice agents, raised $5.5 million in a round led by FlyBridge....
The first M5-powered MacBook Pro launched in October of last year. Apple described the chip as offering “the next big leap in AI for the Mac.” There was no upda...
When some resources are to be distributed among a set of agents following egalitarian social welfare, the goal is to maximize the utility of the agent whose uti...
The widespread deployment of large-scale, compute-intensive applications such as high-performance computing, artificial intelligence, and big data is leading to...
Cluster workload allocation often requires complex configurations, creating a usability gap. This paper introduces a semantic, intent-driven scheduling paradigm...
LLM inference latency critically determines user experience and operational costs, directly impacting throughput under SLO constraints. Even brief latency spike...
Differentially private federated learning (DP-FL) suffers from slow convergence under tight privacy budgets due to the overwhelming noise introduced to preserve...
The GEneral Matrix Multiplication (GEMM) is one of the essential algorithms in scientific computing. Single-thread GEMM implementations are well-optimised with ...
