Adaptive resolution for ADCs

Adaptive resolution for ADCs

Impact of ADC resolution and its reference Engineers always want to get all they can from their circuits; this holds for analog-to-digital converters (ADCs). To maximize performance from an ADC, resolution is perhaps the primary spec to focus on. However, the sad fact is that we have defined the maximum single-read resolution once we pick…

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LLMs Can Now Reason in Parallel: UC Berkeley and UCSF Researchers Introduce Adaptive Parallel Reasoning to Scale Inference Efficiently Without Exceeding Context Windows

LLMs Can Now Reason in Parallel: UC Berkeley and UCSF Researchers Introduce Adaptive Parallel Reasoning to Scale Inference Efficiently Without Exceeding Context Windows

Large language models (LLMs) have made significant strides in reasoning capabilities, exemplified by breakthrough systems like OpenAI o1 and DeepSeekR1, which utilize test-time compute for search and reinforcement learning to optimize performance. Despite this progress, current methodologies face critical challenges that impede their effectiveness. Serialized chain-of-thought approaches generate excessively long output sequences, increasing latency and…

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