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Buildbox 4 is the latest iteration of the Buildbox game development platform, incorporating artificial intelligence (AI) to facilitate the game design process. This version introduces AI-driven functionalities that assist users in generating game assets, scenes, and in the editing of game levels, aiming to streamline the development process.
Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [69] Google Photos, [70] and the Adobe Suite (Adobe Firefly). [71] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [72] language model.
The msFineAnalysis AI version for JEOL's GC-time-of-flight mass spectrometers contains a searchable in-silico database of mass spectra calculated for the 100 million structures in the PubChem database. MSGraph Open source: This tool does qualitative analysis of mass spectrometric (MS) data and is hosted by Sourceforge. MSight Freeware
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Clickteam is a French software development company based in Boulogne-Billancourt, Hauts-de-Seine.Founded by Francis Poulain, François Lionet and Yves Lamoureux, [1] Clickteam is best known for the creation of Clickteam Fusion, a script-free programming tool that allows users to create video games or other interactive software using a highly advanced event system.
Torque 2D, originally Torque Game Builder, is a game engine designed for 2D games and based on the Torque Game Engine. [25] It was first released in 2006, in a standard and a pro version, with the professional version including the source code. [25] Torque 2D started as Torque Game Builder because the ultimate goal was to make it a game-making ...
DeepMind is known to have trained the program on over 170,000 proteins from the Protein Data Bank, a public repository of protein sequences and structures.The program uses a form of attention network, a deep learning technique that focuses on having the AI identify parts of a larger problem, then piece it together to obtain the overall solution. [2]
The goal in rational protein design is to predict amino acid sequences that will fold to a specific protein structure. Although the number of possible protein sequences is vast, growing exponentially with the size of the protein chain, only a subset of them will fold reliably and quickly to one native state.