Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Cole Leng, an AI Researcher at Harvard and former Project Manager with Nexa AI, sits down with Humanitarian AI Today producer Brent Phillips to discuss the state-of-the-art and future trajectory of on-device machine learning.
The discussion provides researchers and staff from humanitarian organizations with important insights into where the state-of-the-art in on-device machine learning stands today and where the cutting-edge is heading. Cole examines the critical trade-offs between on-device and cloud models, analyzing their respective workflows, performance limitations, and implementation considerations to help listeners evaluate whether on-device ML applications are suitable for their specific needs. He also offers insight into choosing LLMs, the impact of new specialized hardware on performance and capability, and how current advances in ML are shaping the next generation of applications.
This episode highlights a core goal of the Humanitarian AI Today podcast: fostering dialogue between technology researchers and humanitarian practitioners. As AI and ML capabilities scale rapidly, this cross-sector engagement is crucial for mapping new technical advances to the unique operational, privacy, and resource constraints of the humanitarian field.
Substack notes: https://humanitarianaitoday.substack.com/p/cole-leng-on-the-state-and-future
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Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Cole Leng, an AI Researcher at Harvard and former Project Manager with Nexa AI, sits down with Humanitarian AI Today producer Brent Phillips to discuss the state-of-the-art and future trajectory of on-device machine learning.
The discussion provides researchers and staff from humanitarian organizations with important insights into where the state-of-the-art in on-device machine learning stands today and where the cutting-edge is heading. Cole examines the critical trade-offs between on-device and cloud models, analyzing their respective workflows, performance limitations, and implementation considerations to help listeners evaluate whether on-device ML applications are suitable for their specific needs. He also offers insight into choosing LLMs, the impact of new specialized hardware on performance and capability, and how current advances in ML are shaping the next generation of applications.
This episode highlights a core goal of the Humanitarian AI Today podcast: fostering dialogue between technology researchers and humanitarian practitioners. As AI and ML capabilities scale rapidly, this cross-sector engagement is crucial for mapping new technical advances to the unique operational, privacy, and resource constraints of the humanitarian field.
Substack notes: https://humanitarianaitoday.substack.com/p/cole-leng-on-the-state-and-future
Eric Talbert on Building Hyper-Local, AI-Powered Supply Chains for Medical Surplus
Humanitarian AI Today
12 minutes 11 seconds
4 weeks ago
Eric Talbert on Building Hyper-Local, AI-Powered Supply Chains for Medical Surplus
Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to innovators, researchers and practitioners on the humanitarian front lines, delivering real-time news on how they are building, testing and collaborating on uses of artificial intelligence.
In this flashpod, Eric Talbert, Co-founder of MedCycle Network joins Humanitarian AI Today host Brent Phillips to discuss Eric’s background in human rights, supply and logistics, MedCycle’s work, their partnership with the Hellman Foundation and ways MedCycle is experimenting with artificial intelligence.
MedCycle Network facilitates the collection of donated, high-quality surplus medical supplies and equipment so they can be distributed to local safety net clinics. Eric and Brent discuss challenges that organizations like MedCycle and similar organizations like MedShare and Partners for World Health share around working with hospitals and companies to prevent medical supplies from being discarded that could otherwise be donated to needy healthcare providers struggling to care for their communities. They talk how AI-powered decentralized surplus supplies ecosystems can impact and inform choices made around the trash barrel in real-time, to redirect usable supplies to clinics in need on an item-by-item basis.
Substack Notes: https://open.substack.com/pub/humanitarianaitoday/p/eric-talbert-from-medcycle-networks?r=e9cbk&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
Humanitarian AI Today
Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Cole Leng, an AI Researcher at Harvard and former Project Manager with Nexa AI, sits down with Humanitarian AI Today producer Brent Phillips to discuss the state-of-the-art and future trajectory of on-device machine learning.
The discussion provides researchers and staff from humanitarian organizations with important insights into where the state-of-the-art in on-device machine learning stands today and where the cutting-edge is heading. Cole examines the critical trade-offs between on-device and cloud models, analyzing their respective workflows, performance limitations, and implementation considerations to help listeners evaluate whether on-device ML applications are suitable for their specific needs. He also offers insight into choosing LLMs, the impact of new specialized hardware on performance and capability, and how current advances in ML are shaping the next generation of applications.
This episode highlights a core goal of the Humanitarian AI Today podcast: fostering dialogue between technology researchers and humanitarian practitioners. As AI and ML capabilities scale rapidly, this cross-sector engagement is crucial for mapping new technical advances to the unique operational, privacy, and resource constraints of the humanitarian field.
Substack notes: https://humanitarianaitoday.substack.com/p/cole-leng-on-the-state-and-future
