How does AI learn? Is AI conscious & sentient? Can AI break encryption? How does GPT & image generation work? What’s a neural network? #ai #agi #qstar #singularity #gpt #imagegeneration #stablediffusion #humanoid #neuralnetworks #deeplearning
How does AI learn? Is AI conscious & sentient? Can AI break encryption? How does GPT & image generation work? What’s a neural network? #ai #agi #qstar #singularity #gpt #imagegeneration #stablediffusion #humanoid #neuralnetworks #deeplearning
Developments in artificial intelligence (AI) are leading to fundamental changes in the way we live. Algorithms can already detect Parkinson’s disease and cancer, and control both cars and aircraft. How will AI change our society in the future?
This documentary journeys to the hot spots of AI research in Europe, the USA and China, and looks at the revolutionary developments which are currently taking place. The rapid growth of AI offers many opportunities, but also many dangers. AI can be used to create sound and video recordings which will make it more and more difficult to distinguish between fact and fiction. It will make the world of work more efficient and many professions superfluous. Algorithms can decide whether to grant loans, who is an insurance risk, and how good employees are. But there is a huge problem: humans can no longer comprehend how algorithms arrive at their decisions. And another big problem is AI’s capacity for widespread surveillance. The Chinese city of Rongcheng is already using an AI-supported ‘social credit system’ to monitor and assess its citizens. Does AI pose a danger to our personal freedoms or democracy? Which decisions can we leave to the algorithms – and which do we want to? And what are AI’s social implications?
A documentary by Tilman Wolff und Ranga Yogeshwar
Feb 27, 2023
Artificial intelligence is increasingly becoming part of our lives, from self-driving cars to ChatGPT. John Oliver discusses how AI works, where it might be heading next, and, of course, why it hates the bus.
Will artificial intelligence save us or kill us all? In Japan, AI-driven technology promises better lives for an aging population. But researchers in Silicon Valley are warning of untamable forces being unleashed– and even human extinction.
Will artificial intelligence make life better for humans or lead to our downfall? As developers race toward implementing AI in every aspect of our lives, it is already showing promise in areas like medicine. But what if it is used for nefarious purposes?
In Japan, the inventor and scientist behind the firm Cyberdyne is working to make life better for the sick and elderly. Professor Yoshiyuki Sankai’s robot suits are AI-driven exoskeletons used in rehabilitative medicine to help stroke victims and others learn to walk again. But he doesn’t see the benefits of AI ending there; he predicts a future world where AIs will live in harmony with humans as a new, benevolent species.
Yet in Silicon Valley, the cradle of AI development, there is an unsettling contradiction: a deep uncertainty among many developers about the untamable forces they are unleashing. Gabriel Mukobi is a computer science graduate student at Stanford who is sounding the alarm that AI could push us toward disaster– and even human extinction. He’s at the forefront of a tiny field of researchers swimming against the current to make sure AI is safe and beneficial for everyone.
What are the promises and perils of AI? And who gets to decide how it will be used?
Harvard CS50’s Artificial Intelligence with Python – Full University Course
This course from Harvard University explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like large language models, game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs.
This course has been updated for 2023 to include an in-depth section on large language models.
✏️ Course developed by Brian Yu for Harvard University. Learn more about Brian: https://brianyu.me/
🔗 Course resources: https://cs50.harvard.edu/ai/2020/
⭐️ Course Contents ⭐️
⌨️ (00:00:00) Introuction
⌨️ (00:02:26) Search
⌨️ (01:51:55) Knowledge
⌨️ (03:39:39) Uncertainty
⌨️ (05:34:08) Optimization
⌨️ (07:18:52) Learning
⌨️ (09:04:41) Neural Networks
⌨️ (10:46:00) Language
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