Starfield Review Megathread
**Current Metacritic (2023-08-31 17:55 BST)** ​ [Metacritic Score](https://preview.redd.it/hqxnpsl5dhlb1.png?width=106&format=png&auto=webp&s=166549b870928813c6d8d5c6154d83162...
**Current Metacritic (2023-08-31 17:55 BST)** ​ [Metacritic Score](https://preview.redd.it/hqxnpsl5dhlb1.png?width=106&format=png&auto=webp&s=166549b870928813c6d8d5c6154d83162...
I'd like some input on what you all think I should do. First a little backstory: I'm 45 now, but back in 2002, when I was 21, I was visiting a friend in college about 100 miles away from home. I met...
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Ban/Quarintine Evasion: * r/1000000DChess * r/109Subreddits * r/1350 * r/14HonksIn88Clowns * r/2genders * r/2XAgainst_HateSubs * r/32CountyIrelandMemes * r/33rdDegreeElders * r/absolutelynotme_ira * ...
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Artificial intelligence (AI) has revolutionized drug discovery and development by accelerating timelines, reducing costs, and increasing success rates. AI leverages machine learning (ML), deep learning (DL), and natural language processing (NLP) to analyze vast datasets, enabling…
A team of researchers from OpenAI recently published a paper describing GPT-3, a deep-learning model for natural-language with 175 billion parameters, 100x more than the previous version, GPT-2. The model is pre-trained on nearly half a trillion words and achieves state-of-the-ar…
Saucecode - PTY Ltd. 68 likes. Saucecode is a software development company including Automation to create business applications
The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. Here we introduce a new approach to computer Go that uses 'value networks' to ev…
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object d…
The theory of reinforcement learning provides a normative account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how agents may optimize their control of an environment. To use reinforcement learning successfully in situations approaching…
Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort<sup>1-4</sup>, the structures of around 100,000 unique proteins have been determined<sup>5</sup>, but this repre…
RadioComics - Santa Claus and the future of radiology
In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarizes relevant work, much of it from the previous millennium. Shallow and Deep Learners are di…
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