Challenging Technical Content

26 lectures, 42 hr 43 min in all

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1
The Man Who Invented Modern AI (Before Everyone Else) — Jürgen Schmidhuber
1 hr 40
2
The Hidden Math Behind All Living Systems
2 hr 46
3
Decompiling Dreams: A New Approach to ARC?
52 min
4
Biologically-inspired AI and Mortal Computation
1 hr 24
5
Is ChatGPT an N-gram model on steroids?
33 min
6
This is why Deep Learning is really weird.
2 hr 07
7
Dr. THOMAS PARR - Active Inference
1 hr 37
8
Mapping GPT revealed something strange...
1 hr 09
9
Prof. Chris Bishop's NEW Deep Learning Textbook!
1 hr 23
10
Building a GENERAL AI agent with reinforcement learning
1 hr 57
11
WE MUST ADD STRUCTURE TO DEEP LEARNING BECAUSE...
1 hr 49
12
How can we add knowledge to AI agents?
50 min
13
Why LeCun Thinks Deep Learning Isn't Enough — Yann LeCun
3 hr 20
14
Uncovering the Mysteries of Category Theory!
13 min
15
RLHF+CHATGPT: What you must know
11 min
16
#104 - Prof. CHRIS SUMMERFIELD - Natural General Intelligence [SPECIAL EDITION]
1 hr 29
17
The Geometric Deep Learning Blueprint — Michael Bronstein
3 hr 33
18
#59 JEFF HAWKINS - Thousand Brains Theory
2 hr 35
19
#55 Dr. ISHAN MISRA - Self-Supervised Vision Models
1 hr 36
20
#49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)
1 hr 25
21
#50 Dr. CHRISTIAN SZEGEDY - Formal Reasoning, Program Synthesis
1 hr 33
22
#51 FRANCOIS CHOLLET - Intelligence and Generalisation
2 hr 02
23
#036 - Max Welling: Quantum, Manifolds & Symmetries in ML
1 hr 43
24
#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!
1 hr 30
25
The Math Behind Every Recommendation You've Ever Seen - Wouter Koolen
1 hr 48
26
Kernels!
1 hr 38