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What’s new in AI in 2020
Grigory Sapunov – CTO, Intento
@che_shr_cat
Transformers
● Large Models, including cross-lingual
○ GPT-3 (up to 175B parameters), ruGPT-3 (1.3B+), Chinese CPM
(2.6B)
○ T5 (up to 11B), mT5 (up to 13B, multilingual)
○ BART, mBART (680M, multilingual)
○ Turing-NLG (17B), T-ULRv2 (multilingual, 550M)
● Architectural innovations
○ Efficiency: Reformer, Linformer, Longformer, Big Bird,
Performer, Axial Transformers
○ Images: iGPT, Vision Transformer (ViT), image processing
transformer (IPT)
○ Memory: Compressive Transformer, memory-augmented
models
○ many other improvements!
Biology’s “ImageNet moment”
AlphaFold 2
Hardware Innovations
● NVIDIA Ampere A100
● NVIDIA+ARM
● Google TPU v4, Edge TPU
● Apple M1
● Neuromorphic (Intel Loihi)
● Habana
● Graphcore
● Cerebras
● etc
Cloud AI — Democratizing AI
● 100s of AI APIs for NLP,
Computer Vision, Video,
Speech, Structured Data,
and other cases
● Customized models in
the Cloud — you can
train your own models
with an easy to use GUI.
AI Ethics
● Face recognition bans
● Malicious use of AI
● Biases in ML models
● Interpretability &
Explainability
● ...
What's new in AI in 2020 (very short)

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What's new in AI in 2020 (very short)

  • 1. What’s new in AI in 2020 Grigory Sapunov – CTO, Intento @che_shr_cat
  • 2. Transformers ● Large Models, including cross-lingual ○ GPT-3 (up to 175B parameters), ruGPT-3 (1.3B+), Chinese CPM (2.6B) ○ T5 (up to 11B), mT5 (up to 13B, multilingual) ○ BART, mBART (680M, multilingual) ○ Turing-NLG (17B), T-ULRv2 (multilingual, 550M) ● Architectural innovations ○ Efficiency: Reformer, Linformer, Longformer, Big Bird, Performer, Axial Transformers ○ Images: iGPT, Vision Transformer (ViT), image processing transformer (IPT) ○ Memory: Compressive Transformer, memory-augmented models ○ many other improvements!
  • 4. Hardware Innovations ● NVIDIA Ampere A100 ● NVIDIA+ARM ● Google TPU v4, Edge TPU ● Apple M1 ● Neuromorphic (Intel Loihi) ● Habana ● Graphcore ● Cerebras ● etc
  • 5. Cloud AI — Democratizing AI ● 100s of AI APIs for NLP, Computer Vision, Video, Speech, Structured Data, and other cases ● Customized models in the Cloud — you can train your own models with an easy to use GUI.
  • 6. AI Ethics ● Face recognition bans ● Malicious use of AI ● Biases in ML models ● Interpretability & Explainability ● ...