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2. List of artificial intelligence projects - Wikipedia

   en.wikipedia.org/wiki/List_of_artificial...

   CALO, a DARPA-funded, 25-institution effort to integrate many artificial intelligence approaches (natural language processing, speech recognition, machine vision, probabilistic logic, planning, reasoning, many forms of machine learning) into an AI assistant that learns to help manage your office environment. [7]

3. Devin AI - Wikipedia

   en.wikipedia.org/wiki/Devin_AI

   Devin AI is an autonomous artificial intelligence assistant tool created by Cognition Labs. Branded as an "AI software developer", [1] the demo tool is designed to complete software development tasks. The tool has received praise, concern, and skepticism over implications surrounding the future of artificial intelligence and software development.

4. Google Assistant - Wikipedia

   en.wikipedia.org/wiki/Google_Assistant

   Google Assistant is a virtual assistant software application developed by Google that is primarily available on home automation and mobile devices. Based on artificial intelligence, Google Assistant can engage in two-way conversations, [1] unlike the company's previous virtual assistant, Google Now.

5. New AI assistant is doling out money advice on personal ...

   www.aol.com/finance/ai-assistant-doling-money...

   Wally, the free app that allows users to sync and manage their accounts and monitor their finances, is adding WallyGPT. New AI assistant is doling out money advice on personal finance app [Video ...

6. ChatGPT’s ‘memory’ experiment offers a glimpse into what AI ...

   www.aol.com/finance/chatgpt-memory-experiment...

   The goal is to put the AI chatbot a few steps ahead in terms of fulfilling a user’s request and doing it well. ChatGPT’s ‘memory’ experiment offers a glimpse into what AI assistants will ...

7. Open-source artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Open-source_artificial...

   Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [ 1 ]