Databricks launches Lakehouse Platform to help manufacturers harness data and AI
Databricks on Tuesday launched Lakehouse for Manufacturing, a new platform to unify data and AI for various analytics use cases.Read More
Origami-inspired robots can sense, analyze and act in challenging environments
A multidisciplinary team has created a new fabrication technique for fully foldable robots that can perform a variety of complex tasks without relying on semiconductors.
I found a way to create different consistent angles from the same image. I generated the image with SD then in Blender rotated the angle I desired using the depth map of the image and screen-printed it. The side shot had a lot of distortions so I dropped it back in SD img2img and it is fixed
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Koala: A Dialogue Model for Academic Research
In this post, we introduce Koala, a chatbot trained by fine-tuning Meta’s LLaMA on dialogue data gathered from the web. We describe the dataset curation and training process of our model, and also present the results of a user study that compares our model to ChatGPT and Stanford’s Alpaca. Our results show that Koala can …
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
Denoising Diffusion models have demonstrated their proficiency for generative sampling. However, generating good samples often requires many iterations. Consequently, techniques such as binary time-distillation (BTD) have been proposed to reduce the number of network calls for a fixed architecture. In this paper, we introduce TRAnsitive Closure Time-distillation (TRACT), a new method that extends BTD. For …
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Generate a counterfactual analysis of corn response to nitrogen with Amazon SageMaker JumpStart solutions
In his book The Book of Why, Judea Pearl advocates for teaching cause and effect principles to machines in order to enhance their intelligence. The accomplishments of deep learning are essentially just a type of curve fitting, whereas causality could be used to uncover interactions between the systems of the world under various constraints without …
How you can automate ML experiment tracking with Vertex AI Experiments autologging
Practical machine learning (ML) is a trial and error process. ML practitioners compare different performance metrics by running ML experiments till you find the best model with a given set of parameters. Because of the experimental nature of ML, there are many reasons for tracking ML experiments and making them reproducible including debugging and compliance. …
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Sonos Era 300 Review: Stunning Spatial, Superior Sound
Yes, it has looks only a mother could love—but shut your eyes and wait till you hear how mind-blowingly good this new speaker is.
Anthropic quietly expands access to Claude ‘Private Alpha’ at open-source event in San Francisco
Anthropic, one of the chief rivals to OpenAI, quietly rolled out broader access to the “Private Alpha” version of the highly anticipated chat service, Claude, at a bustling Open Source AI meetup.Read More
Robotic hand can identify objects with just one grasp
Newly created soft-rigid robotic fingers incorporate powerful sensors along their entire length, enabling them to produce a robotic hand that could accurately identify objects after only one grasp.