Although digital AI systems have been around for some time, AI is still in its infancy. However, with a subtle expansion taking place, before we know it the technology will be used in everyday practices and on a global scale. Here are some of the latest digital AI systems developments:

Developments in latest Digital AI systems

Apple AI – Apple is bringing digital AI systems into the hands of everyday users with its iPhone, iPad, and Apple Watch products for some time now. Within iOS14, some of its special features include:

  • FaceID – Allows secure entry into apps by scanning the face which is registered to the device.
  • Hand washing – A 20 second countdown timer available on Apple Watch to detect the length of time you wash your hands for.
  • Handwriting recognition – Through the handwriting pencil on an iPad, the device detects handwriting and symbols in English & Chinese characters.
  • Native sleep tracking – Captures subtle movements in sleep patterns to produce daily / weekly data on how you sleep.
  • App Library suggestions – On-device intelligence to promote apps that you may like to use next based on previous usage and accessibility.
  • Translate app – Translating in up to 11 languages, it translates conversations in real-time.
  • Sound recognition – Benefitting those with hearing disabilities, the feature is set to detect crying babies, barking dogs, the doorbell, sirens and much more.

Metaverse AI – Derived from the Facebook, Instagram, WhatsApp collective, the metaverse or META as it’s been referred to is the next step into adopting digital AI systems. The metaverse promises to offer everything on a digital platform from sights, sounds and even smells. This is achieved by combining physical and biometric behaviours, personal data, emotion recognition and sentiment analysis. At present the opportunity is unlimited, how its is governed and kept secure is a whole new juncture for our future.

Google AI & DeepMind – Bought by Google in 2014 and home to some of the best AI researchers in the world, ‘DeepMind’ focuses on the research, development, and application of digital AI systems to ‘solve intelligence, to advance science and benefit humanity’. Some of its current projects include applying machine learning to ‘nuclear plasma’ to create clean energy, creating ‘learning robust real-time data’ through cultural transmission but without human data and developing ‘protein folding’ to predict the shape of proteins to the nearest atom.

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