Amazon employs its first humanoid robot at its warehouses.

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No fluffing - in today’s edition (20 Oct):

📰 Quick News - Amazon employs its first humanoid robot at its warehouses, and more

📚 Nerd section - Free SQL course by Harvard (CS50), and more

📰 Quick News 📰

🍏 (Rumored) Apple is planning to implement generative AI technology in iPhone and iPad devices as soon as late 2024. This technology shift, including cloud-based AI and edge AI, will improve on-device data processing and provide an enhanced user experience, all the while adhering to Apple's commitment to customer privacy.

🤖 Amazon is testing Digit, its first humanoid robot, in its warehouses, marking a significant step towards automation in its facilities. Besides, a new robotic system, Sequoia, is assisting employees in fulfilling customer demands in Houston, Texas.

🦾 Alibaba and Tencent, along with other investors, have injected $342 million into Zhipu, a startup developing generative artificial intelligence platforms. The large-scale funding reflects the escalating competition in the AI field between the US and China.

🚁 Amazon Prime Air is widening its services to Italy, UK, and an additional location in the US. Its drone delivery system will deliver various items, including prescriptions, aiming to initiate this service by the end of 2024.

👓 Mark Zuckerberg demonstrated the capabilities of Meta's new Ray-Ban smart glasses using their AI system to braid his daughter's hair. These glasses can record audio and video and come with Meta's AI built-in for interactive learning experiences. (you could see a real-life example of the video quality if not edited)

👐 At AI Everything, Huawei displayed its Pangu Large Models demonstrating their potential to transform industries. The models provide flexibility, working both on public clouds and on-premises, and have particular implications in predicting weather, developing drugs, and other industry-specific applications.

📚 Nerd section 📚

💰 The cost of LLMs is a hot topic in the enterprise sector. Factors such as model size and context length can heavily sway the price. Surprisingly, open-source models like Llama 2 or Falcon 40B are becoming equally competitive with costlier options like OpenAI's models.

👨🏾‍⚕️ Researchers in the field of Graph Neural Networks have studied their ability to adapt to changes in graph topology, and have discovered a new robust architecture. This innovation blends Message-Passing Neural Networks and Transformers to demonstrate greater adaptability and increased efficiency when analyzing complex structures like social networks and biological systems.

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