Pharma AI Council Launches to Drive AI Innovation in Life Sciences
The Pharma AI Council (PAC) has officially launched, aiming to accelerate innovation and responsible AI adoption in the life sciences sector. Announced in a press release, the council brings together industry experts from pharmaceutical, biotech, and medical device companies to ensure AI solutions effectively address real-world challenges and enhance commercial workflows.
PAC's mission is to shape the future of AI in the industry by providing experience-driven feedback to software innovators. This collaboration aims to validate critical use cases and prioritize challenges that are prevalent in the industry, ensuring AI innovations are both practical and market-ready.
The council also emphasizes the importance of compliance, ensuring that AI applications meet the stringent regulatory standards of the life sciences industry. By doing so, PAC aims to guide the development of AI tools that are not only effective but also trustworthy and aligned with global compliance requirements.
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
Sep 20 IDC Names ZS a Leader in Life Sciences Evidence Services Sep 20 Brainomix Selected for UK Future Fifty Programme Sep 19 Rutgers and RWJBarnabas Health Launch AWS Health Innovation Hub Sep 19 Vetology Rebuilds 94 Veterinary Radiology AI Classifiers Sep 19 NAVER D2SF Backs ImpriMed in $10 Million Bridge RoundLife 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
ADLM Calls for CLIA Rules to Cover AI in Laboratory Medicine
ARPA-H Awards UpDoc Up to $9.2 Million for Clinical AI
Atman Health Wins ARPA-H Award to Build Heart Failure AI
PharmaForceIQ Launches Optichannel 360 for Pharma Commercial Teams
McLean & Company Launches Human-Centric AI Program for Workplace AI Training
Daily AI Brief: the AI news that matters, in your inbox.