Researchers have studied the potential of combining photovoltaic systems with compressed air energy storage (CAES) to power a commercial building in South Africa. They found that a co-optimized system ...
We are entering an era where society’s hardest challenges — health, energy, infrastructure, climate — become tractable in ...
As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma ...
No objectives succeed without data. Sustainability attributes scatter across messy text, images, and databases. Companies ...
As global carriers in aggressively pursue AI-driven automation, U.S. operators require architectural frameworks that enable innovation and manage infrastructure.
GreenScale: Multi-Objective Autoscaling for SLA, Cost, and Energy Efficiency in Cloud-Native Systems
Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...
A digital deployment framework strengthens supply chain resilience by integrating real-time data architecture, automation, and continuity planning. Through system integration, predictive maintenance, ...
Overview: AI success depends more on leadership, governance, and execution than model sophistication alone.Agentic AI is ...
The Data Reliability Crisis—How an Indian Data Engineer is Building Reliable Enterprise Data Systems
Lakshmi Narasimha Rohit Madhukar Emani's work demonstrates how aerospace thinking, grounded in validation, optimization, and ...
New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...
What has not yet been fully built — but is now emerging — is a formal settlement decision framework that evaluates each ...
There is always that moment at The Game Awards.The lights dim. Geoff Keighley gets serious. The music swells. This is “the ...
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