Abstract: Omnimodal large language models (OmniLLMs) jointly process audio and visual streams, but the resulting long multimodal token sequences make inference prohibitively expensive. Existing ...

The S&P 500 (SP500) is exhibiting signs of tightening price action as it hovers just below record territory, a pattern that market historians often describe as range compression. According to data ...

As the interest rate differential between Emerging Markets and the United States narrows in early 2026, institutional investors facing the dual headwinds of Brazilian monetary easing and persistent US ...

This story is excerpted from the Radio World ebook “Streaming Best Practices.” Few people realize that xHE-AAC, the latest generation of the AAC codec family, includes an option for dynamic-range ...

Ever watch a movie or TV show where the loud scenes are always drowning out the dialogue? Or worse yet, while your two favorite characters are speaking, and their voices sound like a whisper. Turning ...

There's been a lot of talk about the Sony a7 V's dynamic range performance since PhotonsToPhotos released its data on it, showing that it, like the Panasonic S1II, combines the readouts of its low and ...

Omnivision’s OV50R40 50-Mpixel CMOS image sensor delivers single-exposure HDR up to 110 dB with second-generation TheiaCel technology. It also reduces power consumption by ~20% compared with the ...

Apple has added a new audio control in iOS 26 that lets you dampen overly loud sounds coming from your iPhone speaker without sacrificing audio quality. The "Reduce Loud Sounds" toggle compresses your ...

FIFA said Wednesday that ticket prices for the 2026 World Cup will start at $60 for the cheapest group-stage seats and range to $6,730 for the most expensive tickets to the final – but all of that is ...

Apple has filed a patent for a new type of image sensor that could give future iPhones and other Apple devices the ability to capture photos and videos with dynamic range levels approaching that of ...

As the demand for reasoning-heavy tasks grows, large language models (LLMs) are increasingly expected to generate longer sequences or parallel chains of reasoning. However, inference-time performance ...