By: Nihal Krishan, Francisco Javier Argel
The GAO found that AI machine learning models could significantly improve warning time and preparedness for severe storms and natural disasters.
Nihal Krishan is a Tech Policy Scholar at The Hindu and CSDR India. He focuses on topics such as AI, security breaches, and the implications of technology policy under the Biden administration, often examining the intersection of technology and governance. Nihal's work has been featured in The Denver Gazette, The Colorado Springs Gazette, LLC, Washington Examiner, The Hindu, and FedScoop.
Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston
Not enough data
Nihal Krishan's coverage heavily emphasizes government announcements and legal policy regulation, particularly in the tech, artificial intelligence, federal agencies, and cybersecurity sectors. Given this focus, he would likely be responsive to pitches involving expert commentary on government policies related to technology and cybersecurity in the United States.
As Nihal primarily focuses on national issues within the United States, relevant sources for his articles should have a deep understanding of U.S. governmental regulations as they relate to technology and cybersecurity.
Pitches offering insights into how specific legislative proposals or executive orders could impact innovation or privacy within these sectors are likely to resonate with Nihal based on his reporting trends.
This information evolves through artificial intelligence and human feedback. Improve this profile .