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The company building the world's most energy-efficient general-purpose proc...
Latest Posts
As demand for sustainable and reliable energy supplies grows, energy companies are turning to advanced analytics to optimize energy management and improve asset performance.
5 minutes read
The demand for predictive maintenance (PdM) solutions in the energy sector is rapidly evolving. The global PdM market is projected to grow 31% from 2024 to 2029
7 minutes read
Many people think a variable frequency drive (VFD) is the same as a soft starter. They are indeed both types of motor starters, which use semiconductor components to provide a much smoother starting operation.
Artificial intelligence is growing fast, and so are the number of computers that power it. Behind the scenes, this rapid growth is putting a huge strain on the data centers that run AI models.
3 minutes read
For high-consumption environments like professional kitchens, balancing power loads has become a make-or-break challenge. One Energietechnik is out to meet, with an innovative solution for distributed, real-time energy management – based on Arduino Opta and Arduino Cloud.
3 minutes read
Understanding the basics of electrical transformer design, types, strategies, trade-offs, and effective implementation practices.
Novel thermal interface material cools chips better than existing state-of-the-art solutions.
2 minutes read
Texas A&M researchers will conduct a two-year “jumpstart” project devoted to developing electrified heating technologies.
3 minutes read
Distributed air gap cores, traditionally expensive, enhance efficiency and thermal management in high-power, high-frequency applications by reducing reluctance and fringing flux. Standardization efforts by brands like TDK are making these advanced solutions more accessible and cost-effective.
BrainChip Audio Denoising solution uses Temporal Event Neural Networks (TENNs) to support better audio quality by removing unwanted voices.
In many sectors, sensor networks are composed of thousands of individual sensors, many powered by primary batteries. Certain issues related to limited power autonomy need to be taken into consideration before successfully deploying such networks.
The promise and limitations of large-language models in the energy sector
3 minutes read
Visualizing the energy consumption profile of your embedded IoT device marks the initial step toward achieving low-power design and extended battery life. The subsequent step is analysis, where you can make a significant impact on your energy optimization efforts.
TENN, developed by BrainChip, is an efficient AI technology designed for edge and event-based processing, reducing energy and computational demands for applications in various sectors.
4 minutes read
