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Hardware

New memristor training method slashes AI energy use by six orders of magnitude

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, slashing energy use by ...

Jan 18, 2026 feature

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56

Hardware

All-optical chip achieves 100-fold speed boost over top-tier NVIDIA chips

Scientists in China have unveiled a new AI chip called LightGen that is 100 times faster and 100 times more energy efficient than NVIDIA chips, the leading supplier of AI chips worldwide. Instead of using electricity to move ...

Dec 22, 2025 report

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68

Hardware

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive optical networks, in particular, enable large-scale parallel computation through the use of passive ...

Jan 3, 2026

0

55

Hardware

New ultrathin ferroelectric capacitors show promise for compact memory devices

An ultrathin ferroelectric capacitor, designed by researchers from Japan, demonstrates strong electric polarization despite being just 30 nm thick including top and bottom electrodes—making it suitable for high-density ...

Dec 29, 2025

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61

Hardware

Turning PCs and mobile devices into AI infrastructure can slash operational costs

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has resulted in high operational costs and created a significant barrier to entry for utilizing AI technology. ...

Jan 2, 2026

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