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New and Emerging Technologies

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Getting AI to pronounce names correctly.

Article by Danny DeRuntz
What’s in a /ˈneɪm/?
  • The article delves into the complexities of AI voice assistants mispronouncing names and offers a solution using phoneme extraction and TTS services to ensure accurate and personalized pronunciations for a better user experience.
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6 min read

What is the meaning of the introduction of the Vision Pro device and Vision OS? After a week of reflection, and reading about experiences, I like to do a take here.

Article by Iskander Smit
Vision Is Not About The Goggles; It Is About A New Way Of Looking
  • The article discusses the introduction of Apple’s Vision Pro and Vision OS, highlighting their significance in shaping a new relationship with technology through a synthetic layer that enhances vision.
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6 min read
Article by Sampurna Datta Paul
Data, ML and AI: The in-betweens of Technology and Communication
  • The article emphasizes the need for accountable and unbiased AI systems, while also recognizing the importance of the human factor and empathy in technology development.
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10 min read

Discover four major risks that everyone should be aware of when incorporating generative AI into their ML modeling.

Article by Justin Swansburg
The Hidden Risks of Leveraging OpenAI’s GPT in Your Machine Learning Pipelines
  • The article covers four major risks that everyone should be aware of when incorporating generative AI into their ML modeling:
    • Randomness
    • Target leakage
    • Hallucination
    • Topic Drift
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6 min read

There is no more significant time to be a designer than the present and no greater reward than creating something new and contributing to the betterment of others, but this also comes with a huge responsibility. As new and emerging technologies evolve at an unprecedented pace, we must ask ourselves: if this pace continues to accelerate, what challenges will we face?

Article by Nour Diab Yunes
Shaping Future Interactions: AI, Ethics, and Robo-Utopia
  • The article proves that collaboration across fields of design, science, engineering, and technology is necessary to create a progressive future.
  • Bias in AI algorithms reflects societal biases and intersectional-centered approaches are necessary to prevent unfair consequences.
  • Advances in technology have allowed us to enhance our physical and cognitive skills, and we are entering a ‘post-human condition’ where our very identity as human beings is being redefined.
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9 min read

Discover the potential and pitfalls of generative AI against a surprising backdrop: Galaxy Quest.

Article by Robb Wilson
3 Ways ChatGPT is a Lot Like Galaxy Quest
  • In the article, the author draws a parallel between ChatGPT and elements from the iconic film Galaxy Quest, finding remarkable similarities.
    • Just like the aliens in Galaxy Quest, GPT has learned from a massive knowledge base, but it doesn’t really know anything.
    • GPT has been exposed to some of the same biases that the film skewers. It will require a lot of dedicated effort by designers and users to strip the bias out of LLMs.
    • In the film, aliens need humans’ help. Despite their expertise in creating technical marvels, they lack the creative abilities needed to use them. The same holds true for AI: it needs humans to guide it and tell it what to do.
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6 min read

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