O'Shaughnessy Ventures Funds Alistair Pernigo's Machine Olfaction Research
O'Shaughnessy Ventures LLC said in a press release that it awarded an O'Shaughnessy Fellowship to researcher and entrepreneur Alistair Pernigo. He will use the 12 month fellowship to develop a machine olfaction prototype and test it through controlled experiments with academic collaborators.
Pernigo researches systems that let machines detect and interpret chemical signals. Potential uses include robotics, industrial safety and biosecurity.
Pernigo is a research affiliate in the Multisensory Intelligence group at the MIT Media Lab and coauthored the SmellNet paper. The paper presents a public smell recognition dataset covering 50 substances and 43 mixtures across about 828,000 data points.
The fellowship program provides recipients with grants of up to $100,000 and access to the firm's network. Pernigo is the twenty second fellow selected in 2026.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.
Also, consider following us on social media:
More from Robotics
Sep 16 A Better Road Forward Backs Autonomous Vehicles in New York Sep 16 Zoomlion Tests Humanoid Robots at Beijing Games Sep 15 Caterpillar Expands Autonomous Hauling to Two Virginia Quarries Sep 15 aiMotive Launches Data Recording Systems for Automated Driving Sep 15 Agility Robotics Introduces Digit 5 Humanoid RobotRobotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
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
Per Scholas Launches Paid Salesforce AI Fellowship
LF AI & Data Foundation Adds AIRSEAI Embodied AI Project
51WORLD Launches AperData and AperOne for Embodied AI
Vention Opens Montreal Physical AI Lab for Manufacturing
PerceivIQ Adds Revelio Labs Data to Civic Workforce Platform
Daily AI Brief: the AI news that matters, in your inbox.