DataPanthy #80

Editor’s Note:?

As AI continues to revolutionise the tech world, it's fascinating to see how it's both amplifying human capabilities and raising new questions. While AI tools are making tasks easier, Google's research chief reminds us of the enduring value of coding skills. Meanwhile, tech giants like Apple and Microsoft are integrating AI into our daily lives, from finding lost items to refining our writing. As we dive deeper into this AI-driven era, it's crucial to strike a balance between embracing innovation and maintaining human ingenuity.

Apple updates Find My to let you share locations of lost items

Apple will soon let users share the location of lost or missing items — such as an iPhone, MacBook, or something with an AirTag attached — via the Find My app with people who are not in their contacts using a link.

Learning to code still important in AI era: Google's head of research

Amid the recent surge in AI coding tools, Google’s head of research has offered a contrarian view and said that it is still important for everyone to learn to code.

Google Maps rolls out new feature that will give users real-time update on Air Quality Index in their area – Here’s how to access it

Apple will soon let users share the location of lost or missing items — such as an iPhone, MacBook, or something with an AirTag attached — via the Find My app with people who are not in their contacts using a link.

Microsoft adds new AI tool in Notepad to rewrite and refine your text with ease

Microsoft introduces a new AI feature called 'Rewrite' in Notepad, enabling users to easily refine and personalise their text. This tool, currently in preview mode for Windows Insiders, offers options to rephrase, adjust tone, and alter text length, enhancing the traditional text editor experience.

Resource Spotlight:

Foundations Of Computational Agents - This book is published by Cambridge University Press.?
The Quest For Artificial Intelligence - This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers.
Stanford CS229 - Machine Learning - This course provides a broad introduction to machine learning and statistical pattern recognition.
Computers and Thought: A practical Introduction to Artificial Intelligence - The book covers computer simulation of human activities, such as problem-solving and natural language understanding; computer vision; AI tools and techniques; an introduction to AI programming; symbolic and neural network models of cognition; the nature of mind and intelligence; and the social implications of AI and cognitive science.
Society of Mind - Marvin Minsky's seminal work on how our mind works. Lot of Symbolic AI concepts have been derived from this basis.

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