chinchilla DeepMind's Chinchilla Proves AI Models Require Significantly More Training Data The Chinchilla scaling laws reveal that large language models need about 11 times more training data than previously thought based on GPT-3 benchmarks. This discovery shifts the AI industry's focus toward training smaller models on vastly larger datasets for better performance.
alphacode DeepMind's AlphaCode Achieves Median Human Level in Coding Competitions DeepMind introduces AlphaCode, an AI system that writes computer programs at a competitive level, ranking within the top 54% of participants on Codeforces. The system uses massive-scale code generation and smart filtering to solve novel programming problems.
ai Study Reveals Large Language Models Require Significantly More Training Data Researchers find that current large language models are severely undertrained, proving that model size and training data must scale equally for optimal performance. The resulting Chinchilla model outperforms massive rivals like GPT-3 using a fraction of the computing power.
midjourney Midjourney Emerges as Leading AI Image Generator from Text Prompts Midjourney is a generative artificial intelligence program that creates detailed images from natural language descriptions. Developed by an independent research lab in San Francisco, the service operates primarily through a popular Discord interface.
midjourney MidJourney Beta Transforms Simple Text Prompts Into Stunning AI Artwork The MidJourney beta wows users by generating highly detailed, eerie, and beautiful images directly from text descriptions. The tool runs through Discord and allows creators to easily upscale and refine their unique AI-generated artwork.
deepmind DeepMind AlphaCode Achieves Median Rank in Competitive Programming DeepMind's AlphaCode system writes computer programs at a competitive level, placing within the top 54% of participants on Codeforces. The AI system uses massive-scale code generation and smart filtering to solve novel problems.
alphacode DeepMind AlphaCode Achieves Top-Half Ranking in Competitive Programming DeepMind introduces AlphaCode, an AI system that solves complex competitive programming problems by combining large-scale language models with smart filtering techniques. The system achieves an average ranking within the top 54.3% against thousands of human participants on the Codeforces platform.
artificial intelligence DeepMind Tackles Fusion Energy as AI Research Evolves March 2022 brings major AI updates, including DeepMind's breakthrough in controlling fusion plasma and new tools like PyTorch's TorchRec for recommender systems.
mit MIT Researchers Show Synthetic Data Can Rival Real Images for AI Training MIT researchers develop a generative model that creates synthetic data to train AI for image classification, potentially saving millions in dataset costs. The method sometimes outperforms models trained on real data.
artificial intelligence AI Transforms Cancer Target Identification and Drug Discovery A new review highlights how artificial intelligence accelerates the identification of novel anticancer targets and drug candidates by analyzing complex biological networks. The study details machine learning and network-based methods that provide a quantitative framework for understanding cancer.
nlp New Survey Tackles Compression Techniques for Large Language Models A new paper accepted to AAAI 2023 reviews current methods for compressing and accelerating pretrained language models to reduce their massive energy costs and inference delays. The survey focuses specifically on the inference stage to help deploy these models on edge and mobile devices.
dynamic neural networks Dynamic Neural Networks Offer Efficient Alternative for Massive NLP Models A new survey highlights how dynamic neural networks effectively scale natural language processing models without linear increases in computing power. The research explores methods like skimming, mixture of experts, and early exit to handle trillion-parameter models.
deepmind DeepMind AlphaCode Achieves Median Human Level in Coding Competitions DeepMind's AlphaCode system writes computer programs at a competitive level, ranking in the top 54% of participants on Codeforces. This milestone marks the first time an artificial intelligence achieves competitive performance in complex programming contests.
nfl NFL Tackles Game Evolution With Advanced AI Analytics The NFL partners with AWS to process over 500 million data points per season, transforming player safety, scouting, and fan engagement through artificial intelligence.
deepmind DeepMind AlphaCode Achieves Median Human Level in Coding Competitions DeepMind's AlphaCode system writes computer programs at a competitive level, ranking in the top 54% of participants on Codeforces. The tool uses massive-scale code generation and smart filtering to solve novel problems.