Platform integrates proprietary logistics intelligence with major LLMs to replace keyword search with direct provider dispatch; announces seed funding round. We didn’t build GeoSpur to help you search ...
For leaders in regulated environments, the central challenge is not whether to adopt AI agents, but how to integrate them into operating models without eroding control, accountability, or trust. This ...
Renewable Value Exchange (REVX) introduces an automated energy production framework in which smart contracts serve as the ...
An AI-integrated infrastructure framework embeds real-time diagnostics, reinforcement learning, and multi-agent coordination into distributed ...
PALO ALTO, Calif. and TAIPEI, Feb. 9, 2026 /PRNewswire/ -- Zettabyte and LiteOn today announced a R&D collaboration to evaluate a distributed edge AI inferencing platform deployed at cell tower or ...
In the rolling hills of central Romania, eight NATO nations gathered at the Land Forces Combat Training Center Getica with ...
Low- and middle-income countries (LMICs) continue to face persistent shortages of trained primary care providers in rural areas. This challenge is compounded by the lack of locally accessible ...
"If our solar system is indeed moving this fast, we need to question fundamental assumptions about the large-scale structure of the universe." When you purchase through links on our site, we may earn ...
In July, revenues plunged by more than 60% from June’s peak to AUD 157,000, rebounded to AUD 215,000 in August, and then dropped again by 61% to AUD 85,000 (approximately USD 56,700) in September.The ...
Clinical Research Management Department, Tianjin Cancer Hospital Airport Hospital, Tianjin, China Accurately assessing and quantifying immune competence in cancer patients remains a major challenge in ...
In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...
Abstract: Enhancing the resilience of networked microgrids (NMGs) through model predictive control-based vehicle-to-grid (V2G) strategies faces a key challenge due to the lack of real-time perception ...