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Random variation of threshold voltage (Vt) in MOSFETs plays a central role in determining the minimum operating voltage of products in a given process technology. Properly characterizing Vt variation requires a large volume of measurements of minimum size devices to understand the high sigma behavior. At the same time, a rapid measurement approach is(More)
An all-digital full-entropy True Random Number Generator (TRNG) with measured 1.3GHz operation and total power consumption of 1.5mW at 0.75V, 25oC is fabricated in 14nm FinFET CMOS. Three independent selfcalibrating entropy sources, coupled with pre-extraction correlation suppressors and a real-time BIW extractor enable ultra-low energy consumption of(More)
This paper describes μRNG, an ultra-lightweight all-digital full-entropy true-random number generator (TRNG), fabricated in 14 nm high-k/metal-gate FinFET CMOS, targeted for on-die generation of cryptographic keys in energy-constrained IoT and wearable platforms. The μRNG combines the entropy of multiple independent sources to generate an(More)
This paper is about long-term navigation in environments whose appearance changes over time, suddenly or gradually. We describe, implement and validate an approach which allows us to incrementally learn a model whose complexity varies naturally in accordance with variation of scene appearance. It allows us to leverage the state of the art in pose estimation(More)
An all-digital full-entropy True Random Number Generator (TRNG) with measured 1.3GHz operation and total power consumption of 1.5mW at 0.75V, 25<sup>o</sup>C is fabricated in 14nm FinFET CMOS. Three independent self-calibrating entropy sources, coupled with pre-extraction correlation suppressors and a real-time BIW extractor enable ultra-low energy(More)
However, we still do not have SLAM-enabled robots capable of substantive deployments. The problem lies in perception. All the SLAM algorithms require an oracle of some description to associate each measurement with part of the inferred state of the world. If this ‘data association’ process goes wrong, terrible things happen. Vehicles get lost, maps get(More)
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