Andrew Viterbi Donates $5 Million to Sanford Burnham Prebys for AI Research
Andrew Viterbi, co-founder of Qualcomm Technologies, has donated $5 million to Sanford Burnham Prebys to support its Center for Data Science and Artificial Intelligence, announced in a press release. The contribution establishes the Andrew and Erna Viterbi Distinguished Chair, which will be held by Yuk-Lap (Kevin) Yip, PhD, the center’s director and a specialist in computational biology and bioinformatics.
The Center for Data Science and Artificial Intelligence integrates expertise in AI, statistics, and genetics to analyze complex biological data. It recently introduced a computational biology tool that automates genome sequencing analysis, allowing researchers to decode entire genomes from multiple samples in a single experiment.
Viterbi’s gift aims to strengthen the institute’s research capacity and attract leading scientists focused on AI applications in human health. Sanford Burnham Prebys stated that the endowed chair will help advance discoveries at the intersection of data science, artificial intelligence, and medicine.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Oct 16 Attilio appoints Buck Institute CEO Eric Verdin as cochairman Oct 16 Aignostics launches HETA Clinical for pathology workflows Oct 16 Specialty1 Partners Invests in AI for Dental Practice Operations Oct 15 Study Tracks 270 Million Clinical AI Queries on OpenEvidence Oct 15 OpenAI Offers US University Labs Free GPT-Rosalind AccessLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
ARPA-H Funds $28.6 Million AI Protein Research Project
AIAS+ 2026 Sets San Francisco Science and AI Program
Viome Signs Agreement to Explore Molecular AI Model in Bhutan
OpenAI Foundation Gives UNC Lineberger $40 Million for Cancer Vaccine Research
The Biological Computing Co. Names Atish Banerjea Strategic Adviser
Daily AI Brief: the AI news that matters, in your inbox.