Ethical AI is more than a buzzword! Check out the top 10 Ethical Considerations for AI Projects and explore how to balance innovation with responsibility. Essential insights for every AI practitioner! Read the full article:
RESEARCH
-
Generative AI Transforming Design: Autodesk Research Insights
By
–
Join me, as I delve into a fascinating conversation with Mike Haley, Senior Vice President of Research at #Autodesk. We're exploring the dynamic world of #AI in #design, focusing on the groundbreaking role of #GenerativeAI. Listen now >
-
2023 Tech Predictions Reevaluated: AI, Metaverse, Blockchain Progress
By
–
Reflect on the technological landscape of 2023 with this comprehensive re-evaluation of #predictions, examining the realities of #AI integration, #metaverse and #blockchain's steady progress.
-
PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interaction
By
–
PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interaction Wang et al.: https://
arxiv.org/abs/2312.04393 #ArtificialIntelligence #DeepLearning #MachineLearning -
4-bit Compression Performance Trade-offs for AI Models
By
–
This is incredible! What is the performance like? Is 4-bit compression too much, even for more generic use cases?
-
Exploring Latent Space: AI’s Frontier Beyond Scale
By
–
Here ends tonight’s epic scale reverie, as I head off into the weirder parts of latent space.
-
Pinecone CEO on Vector Databases for AI Knowledge
By
–
Pinecone’s CEO is on a quest to give AI something like knowledge Pinecone CEO Edo Liberty’s insight years ago at Amazon was that using vectors couldn’t simply be stuffed inside of an existing database. “It is a separate architecture, a separate database, a new kind of database,”
-
Utilitarianism Without Proper Future Discounting in AI Ethics
By
–
I have long wondered if this is exactly the ideology that comes out when you’re purely utilitarian and fail to properly add a discount factor to valuations of future states
-
Why AI Alignment Undervalued Compared to Global Priorities
By
–
certainly AI alignment (on a high level) is an important issue but why is it undervalued relative to eg world hunger or pandemic preparedness? and given this, why is studying language models considered a reasonable path towards eventually saving the world?
