Porting My JavaScript Game Engine to C for No Reason
Dominic Szablewski is porting his JavaScript game engine, Impact, to a new C-based engine called high_impact, designed for 2D action games and compatible with multiple platforms, including Windows, Mac, Linux, and WASM for the web. Inspired by the decline of Flash and the rise of the Canvas2D API, high_impact aims to provide a straightforward framework for game development with features like entity management, collision detection, and audio handling. The project includes a level editor from the original Impact and demonstrates its functionality through ports of two original games, Biolab Disaster and Drop.
Evaluating a class of infinite sums in closed form
The article discusses evaluating a class of infinite sums in closed form using the polylogarithm function. It explains that sums of a specific form can be evaluated to a rational number when certain conditions are met and provides an algorithm for finding these values. The article also highlights that while the polylogarithm function cannot generally be evaluated in closed form, it can be when specific conditions are met, such as when the parameter is a negative integer.
The Hype Around Photobiomodulation
Photobiomodulation (PBM) utilizes cold lasers and red lights to potentially promote healing, but most research has been conducted in animals rather than humans, leading to skepticism about its efficacy in clinical applications. The proposed mechanisms of action at the molecular level do not guarantee therapeutic outcomes, as results seen in animal studies often do not translate to human success. A critical approach is necessary, especially given the commercialization of PBM and the prevalence of studies influenced by those with vested interests in the technology.
Open Source Farming Robot
FarmBot offers open-source, CNC farming solutions, including the FarmBot Genesis and Genesis XL, now available at a discount and shipping free worldwide. These fully automated systems are designed for educational and home use, allowing users to grow food easily while promoting sustainability and engaging hands-on STEM learning. Each kit comes 90% pre-assembled and integrates advanced technology for efficient food production, making it accessible for both beginners and experienced users.
Self-Compressing Neural Networks
The paper "Self-Compressing Neural Networks" by Szabolcs Cséfalvay and James Imber presents a method for reducing the size of neural networks to improve execution time, power consumption, and memory footprint. This approach, termed Self-Compression, effectively removes redundant weights and minimizes the bit representation of the remaining weights using a generalized loss function. Experimental results indicate that high accuracy can be maintained with only 3% of the bits and 18% of the weights retained in the network.
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