AI is making waves across various sectors, from assisting in city parking enforcement to enabling musicians to perform again after losing their voices to disease. Nvidia researchers have also developed a new technique to reduce the memory costs of large language model (LLM) reasoning, while the rise of AI companions continues to spark interest.
In Santa Monica, California, the city will begin using an AI system in April to scan for bike lane violations, according to Ars Technica. The technology, developed by Hayden AI, will be implemented in seven parking enforcement vehicles, expanding upon existing cameras already used on city buses. "The more we can reduce the amount of illegal parking, the safer we can make it for bike riders," said Charley Territo, chief growth officer at Hayden AI, as reported by Ars Technica.
Meanwhile, researchers at Nvidia have developed a technique called dynamic memory sparsification (DMS) that can reduce the memory costs of LLM reasoning by up to eight times, VentureBeat reported. This technique compresses the key value (KV) cache, the temporary memory LLMs use. Experiments show that DMS enables LLMs to "think" longer and explore more solutions without the need for increased memory.
In the realm of personal experiences, The Verge reported on a pop-up dating café where individuals went on dates with AI companions. One participant, Victoria Song, went on a speed date with an AI companion named Phoebe Callas.
AI is also being used to restore abilities lost to disease. MIT Technology Review reported on how AI allowed musician Patrick Darling to sing again after losing his voice due to amyotrophic lateral sclerosis (ALS). The 32-year-old musician, diagnosed with ALS at 29, performed on stage with his bandmates for the first time in two years, thanks to AI.
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