➀ GEMESYS focuses on AI hardware with an analog chip architecture for energy-efficient neural network processing on edge devices; ➁ The company addresses industry challenges like high energy consumption in AI model training and focuses on data privacy; ➂ GEMESYS targets application areas like consumer electronics, automotive, healthcare, and industrial IoT with its innovative technology.

➀ TSMC unveiled its 2nm Platform Technology at IEDM, featuring GAA nanosheet transistors for AI, HPC, and mobile applications. ➁ The N2 technology achieves significant improvements in speed and power efficiency compared to the 3nm node. ➂ TSMC's N2 is scheduled for mass production in 2025, with an enhanced version, N2P, targeted for 2026.

➀ Dr. Tahir Ghani discussed the impact of Moore's Law and the challenges of energy efficiency in semiconductor technology. ➁ He highlighted the evolution of transistor technology over six decades. ➂ He advocated for new transistor designs and collaborations to improve energy efficiency for AI computing.

➀ Fujitsu unveils its Monaka processor, a 144-core Armv9-based chip designed for future data centers; ➁ The chip is built on TSMC's N2 process and features a CoWoS system-in-package with SRAM tiles and hybrid copper bonding; ➂ Fujitsu aims for superior energy efficiency by 2026-2027, using air cooling.

➀ GP Singh co-founded Ambient Scientific to develop high-performance, low-power AI microprocessors; ➁ The company's DigAn® technology enables ultra-low power AI applications without cloud dependency; ➂ GPX10 processor addresses inefficiencies in current AI hardware by offering better performance and lower power consumption; ➃ GP Singh emphasizes the importance of semiconductors in improving human lives.

➀ Google's next-gen Tensor G6 processor, codenamed 'Malibu', will be built on TSMC's 2nm process node; ➁ The Tensor G6 is expected to power the upcoming Pixel 11 smartphone series; ➂ The new processor promises major performance and power improvements.

1. The complexity of modern SoC designs requires realistic workloads and advanced power analysis methods to improve energy efficiency. 2. Traditional methods using synthetic simulation vectors often underestimate power consumption and lead to inefficient optimization. 3. Incorporating software-driven workloads and advanced analysis techniques enables accurate power consumption assessment and early optimization in the design process.

1. A 1-kilowatt solar array called Phebus 1 was installed in France in 1992 and is still operational today. 2. After 31 years, the solar panels retain 79% of their original output, exceeding the usual 20-40 year lifespan and efficiency degradation expectations. 3. The solar system has produced 20,366 kWh for 882 Wp, averaging 745 kWh/kWp/year, and confirms scientific studies on solar panel degradation rates of 0.36 to 0.75% annually.