​ Path planning identifies a cost-effective and valid path from an initial point to a target point within an environmental map. Search-based planning methods, which include the well-known A* search, are widely employed in addressing path-planning challenges. These techniques have found application in various domains,… Read More »This AI Research Presents Neural A*: A Novel Data-Driven Search Method for Path Planning Problems Janhavi Lande Artificial Intelligence Category – MarkTechPost

​ The development of functional proteins has long been a critical pursuit in various scientific fields, including healthcare, biotechnology, and environmental sustainability. However, conventional approaches to protein engineering have been limited by the reliance on random mutation and natural selection, leading to challenges in precise… Read More »SalesForce AI Research Developed ProGen: A Leap Forward in Protein Engineering Using Artificial Intelligence Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Amazon Pharmacy is a full-service pharmacy on Amazon.com that offers transparent pricing, clinical and customer support, and free delivery right to your door. Customer care agents play a crucial role in quickly and accurately retrieving information related to pharmacy information, including prescription clarifications and… Read More »Learn how Amazon Pharmacy created their LLM-based chat-bot using Amazon SageMaker Burak Gozluklu AWS Machine Learning Blog

​ At Amazon Web Services (AWS), not only are we passionate about providing customers with a variety of comprehensive technical solutions, but we’re also keen on deeply understanding our customers’ business processes. We adopt a third-party perspective and objective judgment to help customers sort out… Read More »Keeping an eye on your cattle using AI technology Hao Huang AWS Machine Learning Blog

​ Amazon Personalize has launched a new integration with Amazon OpenSearch Service that enables you to personalize search results for each user and assists in predicting their search needs. The Amazon Personalize Search Ranking plugin within OpenSearch Service allows you to improve the end-user engagement… Read More »Personalize your search results with Amazon Personalize and Amazon OpenSearch Service integration Shreeya Sharma AWS Machine Learning Blog

​ Text-to-video diffusion models have made significant advancements in recent times. Just by providing textual descriptions, users can now create either realistic or imaginative videos. These foundation models have also been tuned to generate images to match certain appearances, styles, and subjects. However, the area… Read More »This AI Paper Proposes ‘MotionDirector’: An Artificial Intelligence Approach to Customize Video Motion and Appearance Arham Islam Artificial Intelligence Category – MarkTechPost

​ Posted by Ashley Oldacre If you are joining us for the first time, you can binge listen to our amazing 8 episodes from Season 1 wherever you get your podcasts. We are back for another season of People of AI with a new lineup… Read More »People of AI: Season 2 noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ In the vast landscape of online shopping, discerning genuine product reviews from fabricated ones has become an increasingly arduous task. Consumers are left wondering whether they can truly rely on certain opinions, leading to a cloud of uncertainty hovering over their purchasing decisions. Addressing… Read More »Mozilla Brings a Fake Review Checker AI Tool to Firefox Niharika Singh Artificial Intelligence Category – MarkTechPost

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Goal Representations for Instruction Following

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A longstanding goal of the field of robot learning has been to create generalist agents that can perform tasks for humans. Natural language has the potential to be an easy-to-use interface for humans to specify arbitrary tasks, but it is difficult to train robots to follow language instructions. Approaches like language-conditioned behavioral cloning (LCBC) train policies to directly imitate expert actions conditioned on language, but require humans to annotate all training trajectories and generalize poorly across scenes and behaviors. Meanwhile, recent goal-conditioned approaches perform much better at general manipulation tasks, but do not enable easy task specification for human operators. How can we reconcile the ease of specifying tasks through LCBC-like approaches with the performance improvements of goal-conditioned learning?

Read More »Goal Representations for Instruction Following The Berkeley Artificial Intelligence Research Blog

​ Large Language Models (LLMs) have become extremely popular because of their outstanding capabilities in a variety of natural language tasks. Though they are growing at a fast pace, the massive computational resources needed to train these models are a major drawback. Consequently, there’s been… Read More »Researchers from Princeton Introduce ShearedLLaMA Models for Accelerating Language Model Pre-Training via Structured Pruning Tanya Malhotra Artificial Intelligence Category – MarkTechPost