🎖️ Offline AI boosts US military collaboration, China's perovskite cells achieve long-lasting efficiency, US scientist develops months-ahead earthquake prediction

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EdgeRunner, an American startup, is working closely with the defense sector to introduce state-of-the-art AI capabilities to the US military.

Their groundbreaking product, AI Battle Buddy, is an offline AI platform poised to revolutionize military support.

The AI Battle Buddy converts unstructured military data into an intelligent knowledge base, ensuring sensitive information remains secure and isn't transmitted to the cloud. Dive deeper into this topic with our Must-Read.

🔥Today’s job of the day as featured on jobs.interestingengineering.com:

>Data Engineer II (Python, AWS, Snowflake, Databricks)
>Data Engineer

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MUST-READ

🎖️ New offline AI tool aims to bridge gaps between NCO, officers in US military

AI Battle Buddy integrates with multiple devices, from laptops to smartphones, and operates effectively in fully air-gapped environments. This addresses crucial knowledge disparities between non-commissioned officers (NCOs) and Officers of varying experience levels.

Utilizing the advanced EdgeRunner Tactical model, AI Battle Buddy achieves high performance while using minimal resources. It essentially encapsulates over two decades of military wisdom into a single, interactive assistant.

Envisioned as an "NCO in a bottle,” the platform prioritizes security with local data integration for role-specific guidance and offline operation to protect sensitive data.

☀️ China’s new perovskite cells retain nearly 80% efficiency even after 550 hours

Researchers from China have achieved a staggering 28.49% power conversion efficiency for an all-perovskite tandem solar cell. This breakthrough addresses challenges related to stability and performance in perovskite solar cells.

By employing specific surface modifiers, they improved charge carrier transport and minimized energy losses, leading to enhanced solar cell performance.

The researchers also successfully scaled their process to module-level devices and demonstrated impressive stability, retaining nearly 80% efficiency after 550 hours of operation. These findings highlight the potential of perovskite solar cells for future commercialization.

🌪️ US scientist’s new method could forecast earthquakes months before they strike

A US scientist has developed a new method to potentially predict earthquakes months in advance by identifying prior low-level tectonic unrest. The research analyzed two major earthquakes and discovered abnormal low-magnitude seismic activity three months before each event.

The researcher suggests that increased pore fluid pressure within a fault may cause low-magnitude precursor activity, altering fault mechanics and leading to abnormal seismic activity before major earthquakes.

Scientists believe that machine learning can revolutionize earthquake research by identifying meaningful patterns in vast seismic datasets.

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VIDEO

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