Categories: AI/ML News

Enhancing adaptive radar with AI and an enormous open-source dataset

The world around us is constantly being flash photographed by adaptive radar systems. From salt flats to mountains and everything in between, adaptive radar is used to detect, locate and track moving objects. Just because human eyes can’t see these ultra-high frequency (UHF) ranges doesn’t mean they’re not taking pictures.

AdaBoN: Adaptive Best-of-N Alignment

Recent advances in test-time alignment methods, such as Best-of-N sampling, offer a simple and effective way to steer language models (LMs) toward preferred behaviors using reward models (RM). However, these approaches can be computationally expensive, especially when applied uniformly across prompts without accounting for differences in alignment difficulty. In this…

January 10, 2026

In "FAANG"

The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon

This paper was accepted to the “Has it Trained Yet?” (HITY) workshop at NeurIPS 2022. The grokking phenomenon as reported by Power et al., refers to a regime where a long period of overfitting is followed by a seemingly sudden transition to perfect generalization. In this paper, we attempt to…

November 8, 2022

In "FAANG"

Adaptive Knowledge Distillation for Device-Directed Speech Detection

Device-directed speech detection (DDSD) is a binary classification task that separates the user’s queries to a voice assistant (VA) from background speech or side conversations. This is important for achieving naturalistic user experience. To this end, we propose knowledge distillation (KD) to enhance DDSD accuracy while ensuring efficient deployment. Specifically,…

August 8, 2025

In "FAANG"

AI Generated Robotic Content