How We Implement Power Benchmarking In The Billion-Scale Approximate Nearest Neighbor Search Challenge

We announced in May that NeurIPS 2021 will host a unique data and algorithm challenge in billion-scale approximate nearest neighbor search (ANNS.) Participating teams will be evaluated across a set of challenging datasets, each with a billion records. We employ search accuracy ( measured as recall vs throughput ) as…


We are excited to announce that this year’s NeurIPS 2021 Conference will host a first-of-its-kind competition in large scale approximate nearest neighbor search (ANNS). We will be inviting teams from the search community, both from academia and industry, to enter and submit their algorithm. Please see our official call-for-participation.

During…


I have been hosting a series of panels with the same title in the Bay Area. The first panel was at ODSC West 2019, in Burlingame. Panelists included Michael Gormish (Clarifai), Mark Straub (Smile Identity), Hyrum Anderson (Endgame Security), and Giorgio Patrini (Deeptrace). Their bios are at the end of…


In this blog, we will describe our custom APU chip — an innovative and exciting new design that will accelerate similarity search for a broad range of applications.

But, before we get into the details of our chip, let’s take a step back and first talk about similarity search and…


Molecule Similarity In Milliseconds

Drug discovery and development timeline [1]

Drug discovery is expensive — both in terms of cost and time. For just one new drug, a biotech company could spend around 3 billion dollars, in a process that can take a decade. The number of permutations of small organic molecules is enormous. Theoretically, there are 10⁶⁵ unique small…


The recent uproar over the birth of genetically modified baby twins in China has given the world reason to pause. Dr. Jiankui’s “pandora’s box” has led to fresh bio-ethics debates everywhere. Unfortunately, the backlash will likely result in increased scrutiny of medical research as well as the biopharma industry at…


Online retailers piece together different kinds of technology to reduce friction and to keep us coming back as customers. From face recognition for payment to voice recognition for taking orders- AI is powering more ways that help us consumers search, discover, order, and ultimately get what we want.

Visual search…


In our previous blog post, we started to look at many of the use cases for visual search. For example, you can get instant product recommendations just by snapping a pic of something you like. …

George Williams

apps, research, silicon, distributed computing, data science, AI. Previously at Capsule8, Apple, Motiv, NYU.

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