​ A significant barrier to progress in robot learning is the dearth of sufficient, large-scale data sets. Data sets in robotics have issues with being (a) hard to scale, (b) collected in sterile, non-realistic surroundings (such as a robotics lab), and (c) too homogeneous (such… Read More »CMU Researchers Developed a Simple Distance Learning AI Method to Transfer Visual Priors to Robotics Tasks: Improving Policy Learning by 20% Over Baselines Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ How to get the last n elements of a list in Python? Getting the last n elements of a list in Python. You can use the slicing operator [-N:], where N is the number of elements you want to retrieve from the end of… Read More »Python Get the Last N Elements of a List Malli Spark By {Examples}

​ Reading greatly benefits young students, from improved linguistic and life skills to enhanced emotional well-being. The correlation between reading for pleasure and academic success is well-documented. Moreover, reading broadens general knowledge and fosters understanding of diverse cultures. In today’s world, with an abundance of… Read More »Google AI Introduce STUDY: A Socially Aware-Temporally Causal Recommender System for Audiobooks in an Educational Setting Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Artificial neural networks, prevalent models in machine learning capable of being trained for various tasks, derive their name from their structural resemblance to the information-processing methods of biological neurons within the human brain. The workings of the human brain inspire them. The rise of… Read More »Researchers from MIT and Harvard have Produced a Hypothesis that may Explain How a Transformer Could be Built Using Biological Elements in the Brain Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ Transformer-based neural networks have received much attention lately because they function well. Machine translation, text creation, and question answering are just a few natural language processing activities for which Transformer architecture (see figure 1) has emerged as the industry standard. The effectiveness of transformer-based… Read More »Google DeepMind Researchers Propose 6 Composable Transformations to Incrementally Increase the Size of Transformer-based Neural Networks while Preserving Functionality Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Last Updated on August 18, 2023 R is a language for programming with data. Unlike many other languages, the primitive data types in R are not scalars but vectors. Therefore, understanding how to deal with vectors is crucial to programming or reading the R… Read More »A Gentle Introduction to Vectors in R Adrian Tam MachineLearningMastery.com

​ It is becoming increasingly apparent that very big models trained on massive unsupervised corpora in a single modality can achieve remarkable results. This has been proved both in the audio domain, where a single model has been shown to adapt to a surprise wide… Read More »This Paper from NYU and Google Explains How Joint Speech-Text Encoders Overcome Sequence-Length Mismatch in Cross-Modal Representations Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Sound engineers and music producers employ AI audio tools, which are intelligent software programs, to enhance many areas of the creative process, such as generating melodies and harmonies and improving sound quality. Due to their ability to analyze large datasets and detect complex patterns,… Read More »15 AI-Powered Audio Editing Tools Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

​ Image inpainting is an ancient art. It is the process of removing unwanted objects and filling missing pixels in an image so that the completed image is realistic-looking and follows the original context. The applications of image inpainting are diverse, including tasks like enhancing… Read More »Beyond Photoshop: How Inst-Inpaint is Shaking Up Object Removal with Diffusion Models Janhavi Lande Artificial Intelligence Category – MarkTechPost

​Posted by Hussein Hazimeh, Research Scientist, Athena Team, and Riade Benbaki, Graduate Student at MIT Modern neural networks have achieved impressive performance across a variety of applications, such as language, mathematical reasoning, and vision. However, these networks often use large architectures that require lots of… Read More »Neural network pruning with combinatorial optimization Google AI Google AI Blog