OCTOBER 30, 2023
Picture this: The year is 2040. You’ve just disembarked from a hypersonic flight from New York to London, a mere two-hour journey, and then take an air urban mobility “drone” to beat London’s rush hour traffic to be home in 20 minutes. While in the air, you streamed a holographic conference in real …
Becoming Human
APRIL 19, 2024
You recently heard the bold prediction from Elon Musk that there will be over one billion humanoid robots walking the Earth as early as… Continue reading on Becoming Human: Artificial Intelligence Magazine »
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JANUARY 10, 2025
million cases by 2040. Glaucoma, the second leading cause of blindness globally, affects millions and is projected to reach 111.8 This progressive
IBM Journey to AI blog
FEBRUARY 2, 2024
A 2023 report found that global investment in green or low-carbon energy sources exceeded USD $1 trillion, 1 while advanced data collection tools and artificial intelligence (AI) are helping to better monitor emissions and inform sustainability strategy. Today, sustainability efforts are being shaped by new urgency and new technology.
IBM Journey to AI blog
FEBRUARY 13, 2024
Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. However, we may see a significant leap in generative AI capabilities by 2040. The compact design and touch-based interactivity seemed like a leap into the future.
IBM Journey to AI blog
JANUARY 26, 2024
With minimal new investment being made, nuclear power generation may be reduced by two-thirds by the year 2040. Renewable energy meets emerging technology Technologies including artificial intelligence (AI ) and data analytics are key to enhancing the benefits of renewable energy. You can read more about IBM’s impact here.
Unite.AI
MAY 28, 2024
Artificial intelligence, like any software, relies on two fundamental components: the AI programs, often referred to as models, and the computational hardware, or chips, that drive these programs. This has led to substantial environmental implications for training and using AI models.
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