Multimodal AI
Multimodal AI breakthroughs and products
Articles
AI Models Flub These Intelligence Tests. Can You Fare Any Better?β10
Think you're smarter than AI? Try these seven puzzles and brain teasers that stump AI modelsβsee if you can outwit the machines.
Bill Gates Says We've Crossed AI's Danger Thresholds. What Now?β8
Bill Gates warns humanity has crossed AI's danger threshold, urging governments to prioritize regulation, safety protocols, and global treaties.
Fidelity Preference, Not Demographic Preference: A Pixel-Levelβ7
Aesthetic scorers show fidelity preference over demographic bias, but synthetic audits mislead; only real-image pixel tests reliably detect bias.
Addressing a Sticking Point in Sustainable Adhesivesβ8
Patty Ferreira discusses overcoming challenges in sustainable adhesives, balancing eco-friendly ingredients with performance for rising market demand.
The Download: Smarter AI in Schools, and a Robot 'Carnival' inβ8
AI in schools is evolving with flexible teacher-led policies, while Shanghai's robot carnival showcases China's robotics progress and the challenges of scaling ...
A Day at Shanghai's Robot Carnival: My Firsthand Experienceβ9
A firsthand look at Shanghai's robot carnival: humanoid robots performing, interacting, and showcasing cutting-edge AI tech in public entertainment.
Topology of a Smile: Persistent Homology in Dental Imagingβ10
Persistent homology and SVM classify teeth in CBCT scans, achieving 97.67% labeling and 96.77% diagnostic accuracy, outperforming CNNs.
How to Encourage Smarter AI Use in the Classroomβ8
Discover how a traffic light system helps schools guide students on when to use AI tools responsibly, balancing innovation with academic integrity.
The Download: Kids Outlearning AI, and Space Travel Agentsβ9
Kids outlearn AI despite massive data gaps; researchers study child cognition to build efficient models, plus AI space agents for autonomous exploration.
Kids Outlearn AIβand We Still Donβt Know Whyβ9
Kids outlearn AI with a fraction of the dataβwhy children beat large language models, and what this mystery means for smarter, more efficient AI.
