CKGSB and Johns Hopkins Launch AI-Driven Healthcare Program
The Cheung Kong Graduate School of Business (CKGSB) and Johns Hopkins University's Carey Business School have announced the launch of the AI-Driven Healthcare Innovation Program. This initiative is designed to empower leaders in the healthcare and technology sectors with advanced knowledge and skills. Scheduled for May 5-9, 2025, the program will be held at Johns Hopkins' Washington, D.C. campus.
This program is part of CKGSB's Global Unicorn Programs, which aim to develop future business leaders. Participants will engage with experts from academia, industry, and government, focusing on the intersection of AI and healthcare. The curriculum covers technological, managerial, and strategic aspects of AI's impact on healthcare.
The program will equip participants to assess AI technologies for healthcare improvement, create strategic AI adoption plans, navigate ethical and regulatory challenges, and lead cross-disciplinary teams in AI-focused healthcare innovations.
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 16 Debut Launches AI Designed Ingredient for Hyperpigmentation Sep 16 Hello Patient Acquires Converse Health to Add Back Office AI Agents Sep 16 ZBeats Receives FDA Clearance for 14 Day ECG Analysis Sep 16 Nuna Health Offers Eligible Medicare Beneficiaries Free AI Health Coaching Sep 16 DentScribe Releases Benchmark for AI Dental NotesLife 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
IBM Launches K-12 AI Leaders Fellowship
World Class Health Introduces AI Specialty Clinic
Ai Global Solutions Launches Financial Services Practice
MIT and Harvard Students Build AI Tools for Economic Mobility
HealthIQ Solutions and Eirion.ai Partner on Predictive AI for Remote Care
Daily AI Brief: the AI news that matters, in your inbox.