2 papers
cs.LG2025
David vs. Goliath: Can Small Models Win Big with Agentic AI in Hardware Design?
Shashwat Shankar, Subhranshu Pandey, Innocent Dengkhw Mochahari +4
Large Language Model(LLM) inference demands massive compute and energy, making domain-specific tasks expensive and unsustainable. As foundation models keep scaling, we ask: Is bigg…
cs.CR2025
Cryptoscope: Analyzing cryptographic usages in modern software
Micha Moffie, Omer Boehm, Anatoly Koyfman +5
The advent of quantum computing poses a significant challenge as it has the potential to break certain cryptographic algorithms, necessitating a proactive approach to identify and…