Latest posts tagged with #MGAIC on Bluesky
During the first symposium of the MIT Generative AI Impact Consortium (MGAIC) on Sep 17, researchers and business leaders gathered to share insights and discuss the potential future of generative AI. Learn more: buff.ly/2vPAFSQ
#AI #MGAIC #GenAI
During the first symposium of the MIT Generative AI Impact Consortium (MGAIC) on Sep 17, researchers and business leaders gathered to share insights and discuss the potential future of generative AI. Learn more: buff.ly/2vPAFSQ
#AI #MGAIC #GenAI
Tye Brady (Chief Technologist at Amazon Robotics), in a fireside chat with Professor Sam Madden (Faculty Head, Distinguished College of Computing Professor).
Tye Brady, Chief Technologist at #AmazonRobotics, shared his vision for the future of robotics. He highlighted that #GenerativeAI is not about replacing humans but rather about creating a more collaborative relationship to amplify human capability.
#MITGenAISymposium #MGAIC #Robotics
AI Innovation & Entrepreneurship Panel on stage at MIT Generative AI Impact Consortium (MGAIC) Symposium.
Everyone agreed that the pace of #AI is accelerating. It’s crucial to keep innovating and building strong connections within the community to succeed.
#MITGenAISymposium #MGAIC #AIInnovation
Phillip Isola on stage at MIT Generative AI Impact Consortium (MGAIC) Symposium.
@phillipisola.bsky.social is tackling the challenge of making language models more descriptive for vision tasks.
#MITGenAISymposium #MGAIC #LLM
Yoon Kim on stage at MIT Generative AI Impact Consortium (MGAIC) Symposium.
Yoon Kim is outlining the path forward for LLMs. He argues that due to their inefficiencies with long sequences, and difficulty with state tracking. Transformers will be replaced by new dynamic-compute and inference-optimized architectures.
#MITGenAISymposium #MGAIC #LLM
Jacob Andreas on stage at MIT Generative AI Impact Consortium (MGAIC) Symposium.
Jacob Andreas is raising a fascinating point about LLMs: They have a poor understanding of themselves. He argues that this lack of a robust internal model is a core limitation to overcome.
#MITGenAISymposium #MGAIC #LLM
Pattie Maes on stage at MIT Generative AI Impact Consortium (MGAIC) Symposium.
Pattie Maes is discussing a crucial topic: AI models are often biased, and this bias can directly affect how users form opinions and make decisions. It's a key reminder of the human element in AI design.
#MITGenAISymposium #MGAIC #AIBias
Dimitris Bertsimas on stage at MIT Generative AI Impact Consortium (MGAIC) Symposium.
Dimitris Bertsimas is sharing fascinating insights on how #GenAI is increasingly being used to improve the delivery of online education. The potential for personalized learning is huge.
#MITGenAISymposium #MGAIC #EduTech
Sara Beery on stage at MIT Generative AI Impact Consortium (MGAIC) Symposium.
"GenAI is just a tool, scientists are the ones who add value." Great point from @sarameghanbeery.bsky.social, reminding us that human expertise remains central to the research process.
#MITGenAISymposium #MGAIC #AIForBiodiversity
Yann LeCun (Meta Chief AI Scientist), in a keynote conversation with Mark Gorenberg (MIT Chair Board of Trustees).
@yann-lecun.bsky.social, Chief AI Scientist at #Meta, shared that Joint Embedding Predictive Architecture (JEPA) model is the next step toward his vision for advanced machine intelligence (AMI) - possibly in the next 5 years!
#MITGenAISymposium #MGAIC #JEPA
Inside the MIT Kresge Auditorium for the MIT Generative AI Impact Consortium (MGAIC) Symposium.
Thrilled to be at the #MITGenAISymposium today - ready to dive into the latest in #GenAI! Excited to share highlights from top minds in #AI throughout the day. What are you hoping to learn?
#MGAIC #MIT
