The recent emergence of powerful Vision-Language models (VLMs) has significantly improved image captioning.

Furthermore, most models only support a single control modality such as the steering angle and speed.

Activist fund Palliser Capital has taken a stake in Japanese washlet maker Toto, and is urging the company to boost promotion of its little-known chip parts business. Activist fund Palliser Capital has taken a stake in Japanese washlet maker Toto and is pushing the firm to ramp up promotion of its little-known chip parts business in a bid to unlock value from the artificial intelligence boom. The U.K.-based fund sent a letter to Toto's board last week calling for more disclosure about its advanced ceramics segment. The segment produces electrostatic chucks used in the manufacturing of NAND memory chips, and Palliser views the toilet maker as "the most undervalued and overlooked AI memory beneficiary," the documents show. A representative for Toto declined to comment. Insatiable demand for AI infrastructure has sent memory prices skyrocketing in recent months, boosting shares of chipmakers such as Kioxia Holdings to record highs.

This leads to the proposal of a novel self-supervised solution based on a masked loss function. We evaluate our method using both simulated and real data. On simulated data from a conventional video, we achieve 34.35 mean PSNR with extremely photon-sparse binary input (<0.06 photons per pixel per frame).

These methodologies typically lead to performance bottlenecks and unsatisfactory generalizability.