Dimension one: productivity We begin our assessment of productivity by documenting an exponential increase in global AI life science publications (Fig. 1), quantified by a 20% annual growth rate since 2010. Fig. 1: Evolution of the AI research enterprise in the…
Cornell University researchers have created microscale robots less than 1 millimeter in size that are printed as a 2D hexagonal “metasheet” but, with a jolt of electricity, morph into preprogrammed 3D shapes and crawl. The robot’s versatility is due to…
TL;DR: assistant-ui is an embeddable AI chat frontend for React applications. It supports streaming, generative UI, human-in-the-loop, and other UX paradigms crucial for agentic applications. We’ve worked with Simon (the maintainer) to add a tight integration with LangGraph Cloud. This…
Data collection The transcriptome data and corresponding clinical data were downloaded from the Gene Expression Omnibus (GEO) () database. All transcriptome data in Fragments Per Kilobase Million (FPKM) format underwent conversion to Transcripts Per Kilobase Million (TPM) normalized format for…
RESEARCH BRIEFINGS 11 September 2024 It has been unclear how to build simulations of entire neural circuits with only measurements from a dead fly’s brain. Using machine learning to combine a wiring diagram with knowledge of the computation performed by…
Large language models (LLMs) have achieved unprecedented accuracy on medical question-answering benchmarks, showcasing their potential to revolutionize healthcare by supporting clinicians and patients. However, these benchmarks often fail to capture the full complexity of real-world medical scenarios. To truly harness…
To the untrained eye, a medical image like an MRI or X-ray appears to be a murky collection of black-and-white blobs. It can be a struggle to decipher where one structure (like a tumor) ends and another begins. When trained…
GraphRAG uses large language models (LLMs) to create a comprehensive knowledge graph that details entities and their relationships from any collection of text documents. This graph enables GraphRAG to leverage the semantic structure of the data and generate responses to…
Inventors and researchers have been developing robots for almost 70 years. To date, all the machines they have built — whether for factories or elsewhere — have had one thing in common: they are powered by motors, a technology that…
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In this article, we will explore the Phi-3 model from the official technical report published by Microsoft. Figure 1. Phi-3 family of models (source: ). Language models, especially the Small Langauge Models (SLMs) have come a long way in the…
Dealing with massive amounts of data is not always straightforward. Often, a data scientist needs to trim down a large data table into a handful of key components that can be used for further analysis. For example, we may want…