At Sequoia’s AI Ascent conference in March, I talked about three limitations for agents: planning, UX, and memory. Check out that talk here. Since UX for agents is such a wide-ranging topic, we’ve split our discussion of it into three…
Data acquisition The dataset of images employed in this research originated from Hongqi Farm in Jimusar County, Changji Prefecture, Xinjiang Uygur Autonomous Region, China, situated at 89°12ʹE and 44°24ʹN. The safflower strain used was Jihong 1. The Intel RealSense D455…
Vision-language models are among the advanced artificial intelligence AI systems designed to understand and process visual and textual data together. These models are known to combine the capabilities of computer vision and natural language processing tasks. The models are trained…
Introduction In machine learning and artificial intelligence, adversarial attacks have gained much attention from researchers. These attacks alter the inputs to mislead the model into making wrong predictions. Among these, the Fast Gradient Sign Method (FGSM), is particularly worth mentioning…
Imagine if pathologists had tools that could help predict therapeutic responses just by analyzing images of cancer tissue. This vision may someday become a reality through the revolutionary field of computational pathology. By leveraging AI and machine learning, researchers are…
The phrase “practice makes perfect” is usually reserved for humans, but it’s also a great maxim for robots newly deployed in unfamiliar environments. Picture a robot arriving in a warehouse. It comes packaged with the skills it was trained on,…
[TEASER ENDS] GRETCHEN HUIZINGA: You’re listening to Collaborators, a Microsoft Research Podcast showcasing the range of expertise that goes into transforming mind-blowing ideas into world-changing technologies. I’m Dr. Gretchen Huizinga. [MUSIC FADES] On today’s episode, I’m talking to Dr. Brendan…
Introduction With the rise of large language models (LLMs), we are thinking and approaching things differently for many tasks, from natural language processing and text generation to programming. From OpenAI’s GPT-3 and GPT-4 to Anthropic Claude, Google’s PaLM, and Apple’s…
We have talked a lot about the capabilities and potential of Deep Learning Image Generation here on the Paperspace by DigitalOcean Blog. Not only are image generation tools fun and intuitive to use, but they are one of the most…
Study participants The UKB is a prospective cohort study with extensive genetic and phenotype data available for 502,505 individuals resident in the United Kingdom who were recruited between 2006 and 201040. The full UKB protocol is available online (). We…
Milligan, B. N., Fraser, D. & Kramer, D. L. Within-litter birth weight variation in the domestic pig and its relation to pre-weaning survival, weight gain, and variation in weaning weights. Livest. Prod. Sci. 76, 181–191 (2002). Article Google Scholar Milligan,…
PTMGPT2 implements a prompt-based approach for PTM prediction We introduce an end-to-end deep learning framework depicted in Fig. 1, utilizing a GPT as the foundational model. Central to our approach is the prompt-based finetuning of the PROTGPT2 model in an unsupervised…