Beyond Deep Learning: The Cognitive AI Frontier
summary
Claims a shift from pure deep learning to cognitive AI that fuses machine learning, NLP, pattern recognition and emotional-signal processing, with concrete metrics and deployments: a tone-of-voice modality that needs ~5–10 hours to recalibrate baselines, F-score rising from ~0.5 to 0.92 in research, and a conversational bioprint vector of ~75–100 attributes. Shows live uses: call‑center matching that lifts loan‑restructuring outcomes ~20% (reported ~$1.5M per agent/year), a Tami Robotics caregiver demo, language‑independent surveillance and real‑time agent assist.
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chapters (13)
- 0:00Cognitive AI intro
- 1:11Deep learning limits
- 3:40Human decisions and AI
- 8:24What is Cognitive AI
- 10:55Building blocks
- 12:00Emotional intelligence
- 14:09Tone analysis
- 16:15Conversational bioprint
- 19:46Business and robotics
- 24:08National security
- 26:14Language-free emotion detection
- 30:01Path to AGI
- 32:14Q&A
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