Meet the Innovators: Top 10 Companies Shaping India's Future in 2025
Indias future is being shaped by a new wave of innovative companies revolutionizing industries through technology, creativity ...
South Korea Bioimpedance Sensor Market to Hit Valuation of US$ 441.47 Million By 2033 | Astute Analytica
South Korea's bioimpedance sensor market thrives on government funding, technological innovation, wearable integration, and ...
Bridging digital divide: Schools to empower students with laptops, AI-driven learning
In a significant move to bridge the digital divide, the district administration is set to provide modern educational tools to ...
Virtual Machine Market to Generate Revenue of More than US$ 40.08 Billion By 2033 | Astute Analytica
The virtual machine market exhibits significant growth potential driven by rapid cloud adoption, improved virtualization ...
ABP News on MSN3d
European Entrepreneur Reveals 10 Life Changing Lessons He Leaned While Staying In India; Check Here
European entrepreneur Nik Huno moved to India last year, expecting a cultural shift—but what he encountered in the country ...
Info Edge India Commits INR 1,000 Cr to New Venture Fund
In partnership with Temasek, Singapore's sovereign wealth fund, the new fund is expected to exceed INR 2,000 crore (USD 230 million).
Odisha Diary6d
S. Krishnan Inaugurates NIELIT Centre of Excellence in Chip Design at Noida
Shri. S. Krishnan, Secretary of the Ministry of Electronics and Information Technology, inaugurated the National Institute of Electronics and Information Technology (NIELIT) Centre of Excellence (CoE) ...
CoE Project Lab to act as hub for innovation and collaboration in chip design
Project Lab will serve as a hub for innovation and collaboration in chip design, providing researchers, startups, and students wi ...
PAINTINDIA North edition 2025 brings together Industry Leaders in New Delhi
VMPL New Delhi [India] January 30 The second edition of PAINTINDIA North Edition 2025 commenced today at the India ...
IEEE16d
Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks
Abstract: In this paper, we investigate federated learning (FL) efficiency improvement in practical edge computing systems, where edge workers have non-independent and identically distributed (non-IID ...