Sitemap - 2022 - TechTalks
Power and Prediction: Why AI adoption is lagging
Understanding Geoff Hinton's "forward-forward" algorithm
Understanding the 3 Vs of MLOps
What is the impact of OpenAI's ChatGPT?
Revisiting Rich Sutton's "The Bitter Lesson"
What we learned from Amazon's $10bn loss on Alexa
What we learned from the failed Galactica experiment
AI investment continues to stagnate. Who are the survivors?
Google's generative AI strategy
What's wrong with the AI alphabet soup?
This small change will make transformers much more efficient
Minds, machines, and artificial intelligence
Why DALL-E 2 on Azure is significant
The problem with "open-domain" chatbots
DeepMind AlphaTensor: A different perspective
Is it time to retire futurism?
Some thoughts on Tesla Optimus robot
Adversarial attacks in constrained-feature domains
Can humans and machines understand each other?
Review: Machine Learning with PyTorch and Scikit-Learn
Inside Philips' effort to reinvent itself as a health-tech leader
Teaching GPT-3 to express its uncertainty
Enterprise AI is becoming mainstream
Exploring the emergent abilities of large language models
Membership inference attacks against deep RL
The implications of Amazon's acquisition of iRobot
To reach "common sense," AI might need to take a step back
Democratizing LLMs needs a revolution in AI hardware
LLMs vs long-term planning tasks
The information singularity is coming
BLOOM, AI research culture, and the problems of LLMs
Zero-shot reasoning with large language models (with some caveats)
The business model of GitHub Copilot
Why large language models fail at logical reasoning
Instead of AI sentience, let's discuss human compatibility
Model-free vs model-based reinforcement learning
How to succeed in enterprise AI
Why businesses shouldn't chase AGI
Will Microsoft eat Hugging Face?
Undetectable ML backdoors are a serious concern
Why large language models are inherently undemocratic
Deep learning for deformable object manipulation
An AI concept that combines brains and computers
A gentle introduction to transformer networks
What it means to be "AI-first"
A fake law firm with GAN-generated lawyers
A TinyML model for real-time object detection
What you need to know about OpenAI DALL-E 2
From "brain in jar" to "AI in cloud"
Hybrid model-based and model-free RL achieves superior performance
How no-code ML is democratizing AI
Humans should be at the center of AI
The neuro-symbolic solution to common sense
Yann LeCun's vision for the future of self-supervised learning
An introduction to neural architecture search (NAS)
The hidden (human) side of algorithms
How individual AI will improve brain health
Why competitions are a bad measure for AI
Why DeepMind AlphaCode doesn't compare to human programmers
AI, the brain, and cognitive plausibility
The J-curve of artificial intelligence
Do deep learning models understand language?
Convolutional networks on microcontrollers
The future of voice assistants