Buzz Solutions Enhances Grid Reliability with Vision AI

Buzz Solutions uses Artificial Intelligence to help utility companies monitor their electric grid infrastructure efficiently.

Buzz Solutions is leveraging Artificial Intelligence to enhance the reliability of electric grids by helping utility companies better monitor and maintain their infrastructure. The company, part of NVIDIA’s Inception program for innovative startups, offers solutions that prioritize preventing failures which can lead to outages or even wildfires.

Using drones and helicopters, utility companies gather vast amounts of inspection data, which Buzz Solutions’ proprietary machine learning algorithms analyze to identify potential issues. These include broken components, vegetation encroachment, and wildlife activities that could disrupt operations. CEO Kaitlyn Albertoli emphasized that the use of Artificial Intelligence in utilities is only beginning to show its potential for substantial impact.

Buzz Solutions has developed PowerGUARD, an application that enhances the analysis of video streams from substation cameras in real time. This platform can efficiently warn utilities of security, safety, and fire risks through alerts. The use of NVIDIA DeepStream SDK within PowerGUARD for video processing demonstrates a sophisticated approach that reduces costs and improves performance. This is indicative of the massive, untapped potential of Artificial Intelligence in modernizing energy infrastructure and mitigating critical risks.

78

Impact Score

Researchers decode battery acoustic signals to predict failures

Mit engineers have developed a method to interpret the faint sounds lithium ion batteries emit as they operate, enabling passive monitoring of degradation and potential failures. The work links specific acoustic signatures to gas generation and material fractures that precede dangerous events.

MIT’s new energy and climate chief pushes systemic, collaborative innovation

Evelyn Wang has returned to MIT to lead a new, Institute-wide push on energy and climate, arguing that only transformational, systems-level collaboration can meet rising energy demand, extreme weather, and funding headwinds. Her agenda links advanced technologies, community well-being, and targeted partnerships to move from isolated breakthroughs to scalable solutions.

AMD outlines expansive artificial intelligence roadmap from data center to edge

At CES 2026, AMD chair and CEO Dr Lisa Su used the opening keynote to showcase the company’s push toward yotta-scale computing and new artificial intelligence products spanning data centers, personal computers and embedded edge systems. Partners including OpenAI and AstraZeneca detailed how they are using AMD platforms for large-scale training, inference and scientific workloads.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.