🚀 AI Innovations: Nvidia’s Smarter Bots, Faster Voice Interaction & New Robotic Leg

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AI Innovators, Assemble!

Get ready to shape the future with the latest in Generative AI!

In today’s power-packed edition:

  • Why Invest in AI?

  • LLaMA-Omni: The New AI That Lets You Talk to Machines Faster Than Ever

  • New Tech Captures Human Performances in VR with Unmatched Precision

  • New Robotic Leg Powered by Artificial Muscles! 

  • Nvidia’s New Nemotron-Mini: Smarter Bots for Games and Customer Service

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Why Invest in AI?

AI is revolutionizing industries from healthcare to finance, driving efficiency, innovation, and competitive edge—making it vital for modern business.

What is the motive?

  1. Rapid Growth: The global artificial intelligence market size is projected to expand at a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030. It is projected to reach $1,811.8 billion by 2030.

  1. Scalable Innovation: AI is revolutionizing operations by automating tasks and providing deep insights, boosting efficiency and productivity. 

  1. Market Leadership: Companies using AI are thriving, and investing in AI means aligning with industry leaders poised for future growth. 

Now is a key time to invest in AI, with expanding capabilities and decreasing implementation costs.

GenAI.Works is on a mission to democratize AI; helping people discover, learn, and grow with cutting-edge insights, education, and community engagement. 

With over 7M followers, we unite domain experts and technologists to advance AI’s impact across industries. Our ecosystem spans latest news, education courses. hackathons, IRL events, career opportunities and helping startups gain visibility and success.

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LLaMA-Omni: The New AI That Lets You Talk to Machines Faster Than Ever

LLaMA-Omni is a new AI model designed to make voice interaction with LLMs faster and more efficient. 

It allows users to give spoken instructions and get responses in both speech and text, without needing to convert the speech into text first. 

LLaMA-Omni can respond in just 226 milliseconds (that’s super fast!).

LLaMA-Omni integrates a speech encoder, speech adaptor, LLM, and speech decoder to generate responses directly from speech inputs. 

This model is built on open-source LLaMA models and can be trained efficiently—requiring just four GPUs and less than three days. 

New Tech Captures Human Performances in VR with Unmatched Precision

A recent research introduces a new approach for capturing and rendering human performances in virtual environments. 

The system can track human movements very accurately, even with fast and complex motions, like playing a musical instrument. 

This means virtual concerts, sports, or other live performances can be seen from any angle, in real-time, without lag.

Users can move around in the virtual space—walk, look around, and feel like they’re part of the scene. 

This can change how we experience VR concerts, gaming, and even virtual meetings.

New Robotic Leg Powered by Artificial Muscles

Scientists at ETH Zurich and the Max Planck Institute have created a robotic leg that uses artificial muscles instead of the usual electric motors. This is a big step forward in robotics, helping robots move more like humans and animals.

Unlike electric motors, these artificial muscles don’t waste energy as heat. This means the robotic leg can move for longer without using as much power.

The leg can jump and adapt to uneven ground, without needing lots of sensors to figure out the terrain. It moves in a way that’s more like our own muscles.

While this technology is still new, it could be used in soft robots for tasks like rescue missions, where robots need to move smoothly in unpredictable environments.

Nvidia’s New Nemotron-Mini: Smarter Bots for Games and Customer Service

Nvidia has released Nemotron-Mini-4B-Instruct, a model designed for roleplaying, function calling, and retrieval-augmented generation. 

It’s an excellent fit for applications like customer service bots and video game characters.

The model is optimized for on-device use, meaning it works faster without needing a lot of computing power.

Nvidia has also added safety features to reduce risks, such as bias and harmful content. While it's not perfect, it’s a step toward more responsible AI.

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Past performance is not indicative of future returns. Investing involves risk. Please read the offering circular at https://invest.genai.works/ for additional information on the company and risk factors related to the offering

In making an investment decision, investors must rely on their own examination of the issuer and the terms of the offering, including the merits and risks involved. Genai Works, Inc. has filed a Form C with the Securities and Exchange Commission in connection with its offering, a copy of which may be obtained here: bit.ly/3APlUkJ

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