Lifeboat Foundation

Clearview AI’s face-search tech could be used to uncover infiltrators and to identify the dead.

A growing number of new products allow anyone to apply artificial intelligence without having to write a line of computer code. Proponents believe the “no-code” movement will change the world.

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Every week we will update you about the latest news of the week related with Artificial Intelligence! In this video we will talk about some leaked topics.

Continue reading “LEAKED Artificial Intelligence News | Weekly Update #4” »

The upward spiral of artificial intelligence looks set to produce machines which are cleverer and more powerful than any humans. What happens when machines can themselves create super-intelligent machines? ‘The Singularity’ is the name science fiction writers gave to this situation. Philosopher David Chalmers discusses the philosophical implications of this very real possibility with Nigel Warburton in this episode of the Philosophy Bites podcast.

The upward spiral of artificial intelligence looks set to produce machines which are cleverer and more powerful than any humans. What happens when machines can themselves create super-intelligent machines? ‘The Singularity’ is the name science fiction writers gave to this situation. Philosopher David Chalmers discusses the philosophical implications of this very real possibility with Nigel Warburton in this episode of the Philosophy Bites podcast.

A new Artificial Intelligence from Microsoft and OpenAI utilizes advanced µ-Parametrization in order to increase performance and allow huge AI models to be trained much more easily. This means that we can soon expect AI models which beat any old ones and even humans at trillions of parameters in the future. The future of machine learning sure looks interesting.
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TIMESTAMPS:
00:00 The AI Bottleneck.
00:38 SKILLSHARE: MAKE YOUR OWN AI
02:28 How AI was made much faster.
04:37 A new Revolutionary Artificial Intelligence.
07:18 Hardcoding Machine Intelligence.
09:17 Last Words.
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#ai #deepmind #google

Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses the power of machine learning to improve algorithms.

The video surprises viewers when it’s revealed that, while the woman on screen is a real person, the main character speaking is an AI. It aims to demonstrate how entertainment studios can leverage AI to create highly convincing romantic encounters. This marks a significant milestone for Sonantic as its technology is now able to recreate subtle emotions and non-speech sounds, while also opening up new creative possibilities for studios.

The voice models, which already express a range of human emotions from happiness to sadness, can now convey subtleties such as flirty, coy, and teasing, amongst other new “Style” options. They also have the ability to capture non-speech sounds – such as breaths, scoffs, and laughs. This combination of advances in speech synthesis makes Sonantic’s platform more comprehensive than ever before, helping entertainment studios create life-like performances in record time.

“Human beings are incredibly complex by nature and our voices play a critical role in helping us connect with the world around us,” said Zeena Qureshi, CEO. “Sonantic is committed to capturing the nuances of the human voice, and we’re incredibly proud of these technological breakthroughs that we have brought to life through ‘What’s Her Secret?’. From flirting and giggling, to breathing and pausing, this is the most realistic romantic demo we’ve created to date, helping us inch closer to our vision of being the CGI of audio.”

Summary: Training a machine learning algorithm with synthetic data for image classification can rival one trained on traditional datasets.

Source: MIT

Huge amounts of data are needed to train machine-learning models to perform image classification tasks, such as identifying damage in satellite photos following a natural disaster. However, these data are not always easy to come by. Datasets may cost millions of dollars to generate, if usable data exist in the first place, and even the best datasets often contain biases that negatively impact a model’s performance.