After months of Retroid Pocket Mini buyers reporting issues with the appearance of games when using shaders, Retroid has opened a new return window for people seeking a refund. But there are limitations. Per a screenshot shared by Retro Game Corps, the China-based company said in a Discord message that the return window will be open only from March 8 to March 14, only 200 overseas returns will be accepted and customers will have to pay for shipping. As consolation, the company is offering all owners “a $10 stackable coupon for the upcoming Retroid Flip2 and Retroid Classic.”<br /> Retroid released a statement about the RP Mini screen issue:- March 8-14 return window for those affected- Returns capped to 200 units to limit a flood of returns for unrelated reasons- Asking customer [...]
The Retroid Pocket 6 may have gotten off to a rocky start, but the gaming handheld is officially completed and going to see its first shipments soon. The handheld maker revealed the final product shot [...]
DJI’s Osmo Pocket 3 gimbal-camera was a category-defining camera. Two years since its launch, everyone from vloggers to pro film makers continue to upload how-to guides and gushing reviews to YouTub [...]
Qualcomm unveiled its next generation of processors for gaming handhelds at the Game Developers Conference (GDC) on Monday. Fortunately, it isn't all just dry specs; the chip-maker also previewed [...]
The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use inference-tim [...]
Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a m [...]
There may be plenty of gaming handhelds out there, but there aren't many horizontal options that let you play childhood favorites in the original 4:3 aspect ratio. To address that gap, Ayaneo lau [...]
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]