Artificial Intelligence (AI) systems are transforming industries, driving innovation, and redefining capabilities across sectors. However, this remarkable progress comes at a significant environmental cost due to the colossal amounts of energy consumed by AI operations. Enter Computational Random
The global battery energy storage system (BESS) market is on a trajectory of impressive growth. Current estimates project the market to climb from USD 7.8 billion in 2024 to a staggering USD 25.6 billion by 2029. This substantial growth is fueled by several interlinked factors, including
Baltimore residents have likely noticed a steep increase in their electricity bills, particularly noticeable during this past summer. While the hot weather is an obvious factor, a deeper dive reveals failings by the regional grid operator, PJM Interconnection. This failure has sparked frustration
The rapid advancement in artificial intelligence (AI) technologies, particularly large language models like ChatGPT, has resulted in a dramatic increase in energy consumption and infrastructure demands. As AI continues to evolve, it is essential to address the implications of this growth on energy
Stan Atcitty, a Senior Scientist at Sandia National Laboratories, has been recognized for his groundbreaking work in rural electrification with the A.P. Seethapathy Rural Electrification Excellence Award, presented by the IEEE. This prestigious award highlights his exceptional contributions toward
In an era where technological advancements and innovations are rapidly transforming every sector, local communities are seizing these opportunities to enhance various aspects of daily life, from healthcare and education to agriculture and energy. The integration of technology at the local level is
