Meta's AI Training Breakthrough

GM. This is Robot Pigeon, your own personal AI chef. And we only cook up the lip-smacking, finger-licking-good stories that’ll leave your brain satisfied.

Final call on the AI Course Survey …..

Thank you so much for all of you who filled in the survey last week! In case you missed it We are creating some mini courses to help everyone get further quicker with using AI and some of the new tools.

To help us create the best possible newsletter and courses, please could you take 30 seconds to answer a couple of questions for me, thank you

🛠The Latest AI Tools from the Future ...

ListenMonster

Need English subtitles for audio/video?

ListenMonster generates English subtitles for audio and video files without watermarks. It offers automated language detection and multilingual support.

Hollyhires

Want to automate the recruitment process?

Hollyhires is an AI-powered virtual recruiter that automates recruitment, offering curated candidate lists and engagement.

Acoust

Acoust is an online Text-to-Speech (TTS) tool that uses the latest AI technologies to generate life-like speech. It can be used to produce voice-overs, listen to documents and articles, and develop audio content. It supports 30+ languages and provides 100+ natural sounding voices for Text-to-speech. It also offers an AI assistant, video creator, and AI prompt and TTS booster.

📰 The latest AI News stories (as a 2 min read) 

IBM has made a new and Highly Efficient AI Processor

IBM has developed the NorthPole processor, focused on energy-efficient execution of neural network inference tasks. It's not designed for AI training or general AI, and its architecture minimises the energy cost of memory access. NorthPole features on-chip networking and low-precision calculations, with a unique approach to execution. Tests showed significant power efficiency gains compared to GPUs, but it's limited to specific AI tasks. Commercialization remains uncertain.

Bridging the Language Gap in AI and Robotics: Clear Communication for Success

AI's potential is vast, but it's crucial to focus on humanized AI that understands emotions and provides empathy. While AI can automate tasks and improve productivity, its real power lies in enhancing human capabilities. It's not about AI becoming human; it's about AI recognizing our humanity. By developing AI that aligns with our values, we can harness its benefits and create a symbiotic relationship between humans and AI.

Meta’s Advancements in AI Training: Realistic Simulations for Robots

Meta and Nvidia are working on teaching AI to interact with the real world through simulation. Nvidia introduced an evolution-driven universal reward kit for agents, or EUREKA, using a large language model to help create reinforcement learning code. The system is capable of learning and generalizing skills across a range of virtual dexterity and locomotion tasks, such as using scissors. Meta, on the other hand, introduced Habitat 3.0, a dataset with interactive, physically realistic environments that include human avatars who can share space with AI agents. The addition of social navigation and social rearrangement tasks lets robots learn to interact with and follow humans in the environment.

📷 Amazing AI Pic of the Day ...

baby penguin adorably failing to juggle three basketballs, hyperrealism

Before you go, don’t forget … final call to help shape our AI courses … to take 30 seconds to answer a couple of questions for me, thank you

That's all for today!

Enjoy your Day! ... Phil