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Welcome to the AI gym staffed by virtual trainers

Each member works out within a designated station facing wall-to-wall LED screens. These tall screens mask sensors that track both the motions of the exerciser and the gym’s specially built equipment, including dumbbells, medicine balls, and skipping ropes, using a combination of algorithms and machine-learning models.

Once members arrive for a workout, they’re given the opportunity to pick their AI coach through the gym’s smartphone app. The choice depends on whether they feel more motivated by a male or female voice and a stricter, more cheerful, or laid-back demeanor, although they can switch their coach at any point. The trainers’ audio advice is delivered over headphones and accompanied by the member’s choice of music, such as rock or country.

Although each class at the Las Colinas studio is currently observed by a fitness professional, that supervisor doesn’t need to be a trainer, says Brandon Bean, cofounder of Lumin Fitness. “We liken it to being more like an airline attendant than an actual coach,” he says. “You want someone there if something goes wrong, but the AI trainer is the one giving form feedback, doing the motivation, and explaining how to do the movements.”

AI and the quest for immortality — are we defeating death?

Can artificial intelligence, or AI, make it possible for us to live forever? Or at least, be preserved for posterity? What are the current developments in the fields of artificial intelligence and biotechnology?

Will humanity exist without biological bodies, in the near future? Could humans and AI merge into one being? This documentary explores these questions, and more.

The film also explores current advances in AI, robotics and biotechnology. What is the essence of human existence? Can that essence be replicated? Technological development in these fields is rapid. It is also increasingly urgent, as people’s lives play out more and more online. Visionaries, authors, and theorists such as Nick Bostrom, Hiroshi Ishiguro, Douglas Rushkoff and Deepak Chopra are questioning how a humanity without a biological body might evolve.

The scientific community is fascinated by the idea of merging human and machine. However, leading minds are also pondering the question of whether AI might just be the last thing humans ever create.

#documentary #dwdocumentary.
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Google DeepMind Researchers Introduce Promptbreeder: A Self-Referential and Self-Improving AI System that can Automatically Evolve Effective Domain-Specific Prompts in a Given Domain

Large Language Models (LLMs) have gained a lot of attention for their human-imitating properties. These models are capable of answering questions, generating content, summarizing long textual paragraphs, and whatnot. Prompts are essential for improving the performance of LLMs like GPT-3.5 and GPT-4. The way that prompts are created can have a big impact on an LLM’s abilities in a variety of areas, including reasoning, multimodal processing, tool use, and more. These techniques, which researchers designed, have shown promise in tasks like model distillation and agent behavior simulation.

The manual engineering of prompt approaches raises the question of whether this procedure can be automated. By producing a set of prompts based on input-output instances from a dataset, Automatic Prompt Engineer (APE) made an attempt to address this, but APE had diminishing returns in terms of prompt quality. Researchers have suggested a method based on a diversity-maintaining evolutionary algorithm for self-referential self-improvement of prompts for LLMs to overcome decreasing returns in prompt creation.

LLMs can alter their prompts to improve their capabilities, just as a neural network can change its weight matrix to improve performance. According to this comparison, LLMs may be created to enhance both their own capabilities and the processes by which they enhance them, thereby enabling Artificial Intelligence to continue improving indefinitely. In response to these ideas, a team of researchers from Google DeepMind has introduced PromptBreeder (PB) in recent research, which is a technique for LLMs to better themselves in a self-referential manner.

Mo Gawdat: AI Today, Tomorrow and How You Can Save Our World (Nordic Business Forum 2023)

Mo Gawdat openly discusses the current rate of advancement of AI and the expected technological innovation that will follow at the Nordic Business Forum 2023 in Helsinki on September 27, 2023.

Learning points:

Where AI might be heading as a technology.
Ethical questions to consider as a business leader.
What is the role each of us and our businesses have to play to ensure that AI will be a driver for positive change.

Transformers — Intuitively and Exhaustively Explained

In this post you will learn about the transformer architecture, which is at the core of the architecture of nearly all cutting-edge large language models. We’ll start with a brief chronology of some relevant natural language processing concepts, then we’ll go through the transformer step by step and uncover how it works.

Who is this useful for? Anyone interested in natural language processing (NLP).

How advanced is this post? This is not a complex post, but there are a lot of concepts, so it might be daunting to less experienced data scientists.

Artificial Intelligence Shaping the Future of Medicine

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We take a look at how the latest advancements in artificial intelligence are impacting modern medicine and theorize about what the future may hold.

00:00 Intro.

Disclaimer: This video is not intended to provide diagnosis, treatment, or medical advice. Content provided in this video is for educational purposes only. Please consult with a physician regarding any health-related diagnosis or treatment.

Using Artificial Intelligence to Help Students With Down Syndrome Succeed

The Center for Artificial Intelligence at King Khalid University embraces AI-driven innovation by using and creating advanced digital technologies to help fulfill Vision 2030 objectives. With that as the main driver, Nada Saeed Al-Qahtani, student and inventor at the College of Computer Science at King Khalid University, developed a robot called “Eve”. Eve is tailored to students with Down Syndrome, being equipped with machine learning curriculum adaptations that make completing tasks easier.