Published in SyncedReview·16 hours agoMember-onlyGoogle & HUJI Present Dreamix: The First Diffusion Model for General Video EditingDiffusion models like Stable Diffusion — which introduce random noise to data and then learn to generate new samples from the noise — have achieved state-of-the-art performance in generating realistic text-driven images and videos. Such models however are focused on synthesizing, not editing. While a number of intuitive text-based approaches…Diffusion Models3 min readDiffusion Models3 min read
Published in SyncedReview·1 day agoMember-onlyGoogle & Columbia U’s Mnemosyne: Learning to Train Transformers With TransformersTraining deep and complex machine learning (ML) models involves determining the best optimizer and then manually tuning its hyperparameters — a process that is both computationally intensive and time-consuming. Learning-to-learn (L2L) systems have recently emerged as a more efficient alternative to conventional human-engineered ML optimizers. A team from Google and…Deep Learning3 min readDeep Learning3 min read
Published in SyncedReview·4 days agoMember-onlyGenius or Subpar AI Mathematician? New Study Questions ChatGPT’s Mathematical CapabilitiesThe November release of ChatGPT garnered unprecedented public and media attention. OpenAI’s conversational large language model (LLM) was widely applauded for its ability to answer complex queries, generate correct computer code and coherent long-form essays, and even solve math problems. But might that last claim have been premature? In the…Chatgpt3 min readChatgpt3 min read
Published in SyncedReview·6 days agoMember-onlyStanford U’s DetectGPT Takes a Curvature-Based Approach to LLM-Generated Text DetectionChatGPT’s ability to generate coherent and comprehensive essays on any topic in seconds has made it both a game-changing information resource and the bane of educators. OpenAI’s conversational large language model amassed millions of daily users in the weeks following its release — but also found itself banned by school…Chatgpt4 min readChatgpt4 min read
Published in SyncedReview·Feb 1Member-onlyAI Jam Session: Google & Sorbonne U’s MusicLM Achieves SOTA Performance on High-Fidelity Music Generation from TextAI’s evolution over the last decade has been incredible. While researchers might point to the successes of AlexNet or AlphaGo as milestones, the “wow” moments for the general public have come from prompt-based image generation models such as Stable Diffusion and, more recently, the power of ChatGPT. …Deep Learning3 min readDeep Learning3 min read
Published in SyncedReview·Jan 31Member-onlyMicrosoft & UCLA Introduce ClimaX: A Foundation Model for Climate and Weather ModellingClimate change and extreme weather events have made weather and climate modelling a challenging yet crucial real-world task. …Climate Modelling3 min readClimate Modelling3 min read
Published in SyncedReview·Jan 27Member-onlyStanford U’s Brain-Computer Interface Enables Stroke and ALS Patients to ‘Speak’ 62 Words per MinuteFrom drug discovery and protein folding to tumour detection, AI is revolutionizing the biomedical and healthcare fields. Recent research into brain-computer interfaces (BCIs) has revealed their potential to restore rapid communication to people with paralysis by capturing neural activities evoked by attempted speaking actions and decoding these into text. …Brain Computer Interface3 min readBrain Computer Interface3 min read
Published in SyncedReview·Jan 26Member-onlyOxford U’s Deep Double Duelling Q-Learning Translates Trading Signals Into SOTA Trading StrategiesLimit order books (LOBs) traditionally comprise instructions to buy or sell a given security at a specific price or better. The introduction of AI-powered trading systems has significantly impacted limit order book markets in recent years. While studies have shown that LOB prices can be predictable over short time periods…Artificial Intelligence4 min readArtificial Intelligence4 min read
Published in SyncedReview·Jan 25Member-onlyForget About Catastrophic Forgetting: Google’s Continual HyperTransformer Enables Efficient Continual Few-Shot LearningContinual few-shot learning techniques enable AI models to learn from a continuous stream of tasks described by a small set of samples without forgetting their previously learned information. This learning paradigm is beneficial in real-world applications such as industrial robotics, where a deployed agent must learn in a dynamic environment…Continual Learning4 min readContinual Learning4 min read
Published in SyncedReview·Jan 24Member-onlyMeet Tracr: DeepMind & ETH Zurich’s Novel Interpretability Tool Compiles Human-Readable Code to Transformers’ WeightsInterpretability has emerged as a new buzzword and research focus in AI system development and deployment. …Neural Networks3 min readNeural Networks3 min read