Chapter I. Why you should learn about non-Euclidean ML. “Machine Learning in a Non-Euclidean Space” is published by Mastafa Foufa in Towards Data Science.
Category: robotics/AI – Page 918
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ElevenLabs, a year-old AI startup from former Google and Palantir employees that is focused on creating new text-to-speech and voice cloning tools, has raised $19 million in a series A round co-led by Andreessen Horowitz (a16z), former Github CEO Nat Friedman and former Apple AI leader Daniel Gross, with additional participation from Credo Ventures, Concept Ventures and an array of strategic angel investors including Instagram’s co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe and many others.
In addition, Andreessen Horowitz is joining ElevenLabs’ board, citing the late Martin Luther King Jr.’s “I Have a Dream” speech in its blog post on the news, as one of the examples of how the human “voice carries not only our ideas, but also the most profound emotions and connections.”
Experts warned that AI’s autonomy is just a “veneer,” and that it’s being used as surveillance through the scraped data it needs to train on.
Prepare to have your mind blown by Elon Musk’s latest creation: TruthGPT! In this ground-breaking video, we delve into the mind-boggling potential of an AI-powered language model, which has sent shockwaves throughout the AI industry.
TruthGPT is Elon Musk’s idea, a highly advanced and groundbreaking language model that aspires to push the veracity and accuracy of AI-generated material to the forefront. It is intended to address the misinformation, fake news, and biassed narratives that afflict our digital environment. Musk’s goal with TruthGPT is to construct an AI that can present information objectively, factually, and without personal prejudice.
TruthGPT has sent shockwaves through the AI sector with its unmatched capabilities. It has astounded industry experts, researchers, and even competitors. This YouTube video analyses the AI community’s emotions and responses, demonstrating the disbelief and excitement sparked by Elon Musk’s latest creation.
You may be asking, as a ChatGPT user, if TruthGPT is a direct rival to this popular language paradigm. While both models aim to generate human-like prose, their approaches differ. ChatGPT is intended to engage in interactive conversations by giving a variety of responses and information depending on its training data. TruthGPT, on the other hand, places a strong emphasis on assuring accuracy, fact-checking, and unbiased information distribution.
TruthGPT’s implications are enormous and far-reaching. It has enormous potential to change how we consume and engage with AI-generated information. This YouTube video investigates the potential influence of TruthGPT on news organisations, social media platforms, research institutions, and society in general.
Join us as we investigate Elon Musk’s INSANE new brainchild, TruthGPT, and see the incredible discoveries that are altering the AI field. Prepare to be astounded by the ramifications and possibilities of this game-changing technology!
A new method for training robots could help streamline the ways researchers teach robots to perform simple tasks.
Summary: As artificial intelligence (AI) evolves, its intersection with neuroscience stirs both anticipation and apprehension. Fears related to AI – loss of control, privacy, and human value – stem from our neural responses to unfamiliar and potentially threatening situations.
We explore how neuroscience helps us understand these fears and suggests ways to address them responsibly. This involves dispelling misconceptions about AI consciousness, establishing ethical frameworks for data privacy, and promoting AI as a collaborator rather than a competitor.
Today we’re talking to Christopher Williamson, Global Director Of Technology at TUI. We discuss Chris’s methodology of going from idea to project, the ways in which AI is being utilized to further TUI’s technology, and the ways that Joel and Chris approach technology for their kids and the next generation.
Italian fashion start-up Cap_able has launched a collection of knitted clothing that protects the wearer’s biometric data without the need to cover their face.
Named Manifesto Collection, the clothing features various patterns developed by artificial intelligence (AI) algorithms to shield the wearer’s facial identity and instead identify them as animals.
Cap_able designed the clothing with patterns – known as adversarial patches – to deceive facial recognition software in real-time.
“There were times when I felt a real emptiness,” Son told shareholders. “I had a big cry. The tears didn’t stop for days.”