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A sneak-peek on CoTAI R&D and Product focus
π‘ We have been actively developing & delivering AI cores for diverse application domains.
π₯ Check out our portfolio page for demos and usecases π
AI Cores
- Conversational AI
- Verbal (Text & Speech Understanding)
- Nonverbal (Gesture & Expression Understanding)
- Virtual Assistant (Task Automation & Cobots)
- Perceptual Intelligence
- People & Scene Understanding
- Self-Driving Cars
- Industrial Inspection & QC
- Predictive Maintenance
- Deep Symbolic AI
- GNNs, KGs, Neuralogic, XAI
- Machine Reasoning & Compositional AI
- Learn2Reason & Learn2Plan
- DL4Dev & DL4Operations/Logistics
- RecSys AI
- Retail, Healthcare, Edtech, Firetech
- Smart Home & Car Infotainment
- Curious AI
- Deep Generative Models (VAEs, GANs, Flow, Diffusion, etc.)
- Compositional AI & Computational Creativity (for Arts, Design, Edutainment & Med)
- Mechatrons & Cobots
- DL4Games
- Rigorous AI
- Edge & Embedded AI, Tiny ML, Mechatrons
- Mobile/Web Optimized, Lightweight & Secured AI
- Knowledge Distillation & Network Pruning/Quantization
Sample application domains
- Conversational User Interfaces (Voice, Chat, Avatar).
Example: Messenger SalesBot Concept by Isil Uzum.
See also other UX concepts.
- People, Document, Scene & Object Understanding
Examples: Amazon Go & OpenSpace AI-powered construction project platform.
- RecSys: Recommender Systems
Because almost every successful product & business has a strong recommendation engine at its core: YouTube, TikTok, Spotify, Instagrams, Salesforce, etc. βCounter-exampleβ ;-) - Self-Driving Cars & Collaborative Robotics
- Computational Curiosity & Creativity (for Med, Arts, Design & Edutainment)
Examples: Drug discovery & human-AI collaborative design e.g. DALL$\cdot$E 2 & Imagen.
- DRL4Games: Deep generative models & deep reinforcement learning for training AI in games and assisting the design & development of next generation games that can, e.g., βgenerate (and evolve) through real-time audience interactionβ.
- DL4Dev: AI assistant (e.g., code generation) for software craftmanship.
Examples: GitHub Copilot & OpenAI Codex, CodeT5, CodeBERT.
- DL4Operations: Deep Learning for optimizing Operations, Logistics & SCM
Example: Bearing.AI
π Click to see our portfolio page for demos and usecases.
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