Introduction: Time series forecasting has long been a subject of interest for businesses and researchers alike. With the rise of deep learning models in various domains, it is natural to explore their potential in time series forecasting. However, recent discussions and experiences from professionals in the field have cast doubt on the efficacy of these specialized “time series” deep learning models. In this article, we delve into the criticisms raised by experts and shed light on the current state of time series forecasting.

In an increasingly digital world, a tech enthusiast is spicing things up with a charming and interactive innovation - a virtual ant farm. This individual’s ambitious project aims at giving people a chance to nurture and interact with virtual ants that perform cute activities throughout the day. The project is quite an inventive blend of SimAnt, a popular old computer game where players can control an ant colony, and Tamagotchi, the Japanese handheld digital pet game. The application runs in real-time and is built using Rust/WASM/Bevy. However, there’s a special twist: users can’t provide care for their ants until they themselves have engaged in a breathwork or meditation exercise.

Digital Ant Farm: Combining SimAnt and Tamagotchi in Real-Time Imagine having your own digital ant farm where you can observe cute ants going about their daily lives, carrying objects and engaging in various behaviors. That’s exactly what the creator of the Symbiants project aims to achieve. Written in Rust/WASM/Bevy, this unique game aims to provide an immersive experience of watching and caring for virtual ants. The goal of Symbiants is to give people the opportunity to care for their virtual ants by feeding them once a day. However, there’s a twist – users can only provide ant care if they engage in a breathwork/meditation exercise. This unique approach encourages users to take a break, practice mindfulness, and reflect on their actions before tending to their virtual ants.

Introduction In today’s digitally connected world, access to reliable and fast internet is considered a necessity. However, there are still areas in the country where internet infrastructure is lacking, making it difficult for individuals to communicate in remote locations. But thanks to innovations by companies like Garmin and Starlink, low-bandwidth text communication is becoming a reality for individuals in these areas. Garmin’s Existing Solution Garmin has been offering low-bandwidth text communication devices like the InReach Mini for quite some time. These devices allow users to send text messages and access emergency services even in areas with low internet connectivity. While Garmin’s devices have been highly regarded, the recent announcement of Starlink’s rural connectivity system has generated significant excitement.

The Rise of Smartphone Cameras: A Photographer’s Perspective In recent years, smartphone cameras have taken a significant leap in terms of quality and capabilities. With each new release, manufacturers tout improved sensors, advanced AI algorithms, and cutting-edge computational photography. These developments have led many to question the future of traditional cameras and the photography industry as a whole. Photography enthusiasts and professionals have been at the forefront of this debate, discussing the merits and limitations of smartphone cameras compared to their more traditional counterparts. One such individual is Stu, a seasoned photographer with an impressive resume and a deep understanding of color work and photography techniques. His insights shed light on the evolving landscape of photography.