Sitemap - 2021 - TechTalks
TechTalks: The best stories of 2021
An intro to support vector machines (SVM)
4 tips for success in ML research in task-oriented dialogue
Does deep learning understand our language?
Deep learning and mathematical intuition
Neural networks can be infected with malware
Why AI benchmarks are misleading
Amazon's new machine learning products
Best practices for GPT-3 applications
DeepMind's new RL is a better teammate for humans
How to protect contrastive learning models against adversarial attacks
Why life is essential to intelligence
The maturation of industrial computer vision
Self-supervised learning in medical imaging
Microsoft undercuts OpenAI with new Azure GPT-3 service
RL can beat humans at games but can't play with them
Simulating evolution with reinforcement learning
Why DeepMind's acquisition of MuJoCo is important
Inside Mailchimp's AI-powered content marketing product
A gentle intro to graph neural networks (GNN)
Reinforcement learning for game-testing
Is Amazon's Astro robot doomed to fail?
Democratizing robotics research
What developers should know about machine learning security
The myth of artificial intelligence
Is Boston Dynamics' Spot robot worth its price?
Some thoughts on Google's chest x-ray AI system
Detecting malware and phishing with deep learning
Why are investors pouring huge sums in enterprise AI?
Deep reinforcement learning demystified
Unsupervised detection of adversarial attacks
The common traits of good software companies
The challenges of bipedal robots
Avoid these pitfalls in machine learning research
Book review: The Self-Assembling Brain
Who will use OpenAI's Codex API?
An introduction to federated learning
A new theory on artificial general intelligence
DeepMind's new reinforcement learning system
What you need to know about Google Drive's new security update
The difference between AI and brain matter
Can AI learn to reason about the world like children?
Deep reinforcement and the taming of complexity
Why investors are pumping money into risky self-driving startups
The limits of large language models
Why machine learning can't understand human language
Why reward is not enough for intelligence
What's the role of AI in coding?
What is the next step for deep learning?
Why Tesla thinks vision is enough for autonomous driving
Is human intelligence evolutionary or symbiotic?
A primer on object detection with deep learning
Evolution, rewards, and artificial intelligence
Google's AI-designed chip and the nature of intelligence
New directions for the self-driving industry
Will reinforcement learning lead to general AI?
Security must be baked into machine learning research
Microsoft is slowly devouring OpenAI
Assemblies in the brain inspire AI research
A few notes on Intel's image-enhancing AI
A dataset to automate programming tasks
What is dimensionality reduction in machine learning?
Comparing biological and computer vision
On-device image segmentation with tiny neural networks
4 fallacies of artificial intelligence
Wealthy companies are eating the self-driving car market
Pushing the limits of embodied AI
The challenges of applied machine learning
Microsoft's latest AI acquisition
Why you should learn machine learning with JavaScript
Here's what Waymo's new leadership means for self-driving cars
Data poisoning and adversarial attacks
What does Stretch mean for the future of Boston Dynamics?
Understanding AI's "representation" problem
End-to-end encryption is coming to the enterprise
Adversarial training is not safe for mobile robots
Why machine learning struggles with causality
AI needs more adaptive computing hardware
One researcher's mission to make machine learning research reproducible
Why machine learning strategies fail
How reinforcement learning chooses your ads
AI in health care: Closing the gap between research and applications