
Articles
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1 month ago |
electropages.com | Paul Whytock
Key Thing to Know: AI lacks self-doubt—humans don't, and that’s crucial. While AI excels at optimisation, human designers bring nuance, aesthetics, and empathy to car design decisions. AI is driving aerodynamic innovation and material discovery. It helps reduce vehicle weight, enhance range, and propose sustainable materials like hemp-based panels. Advanced AI is transforming battery technology.
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Jan 15, 2025 |
electropages.com | Paul Whytock
15-01-2025 | By In an increasingly microchip-enabled world, he who has the best and most advanced microchips, along witha large, stable supply of bread-and-butter devices, can steal the lead in the power plays that influential countries inflict on each other.
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Nov 20, 2024 |
electropages.com | Paul Whytock
When it comes to the acceptance of fully autonomous cars, drivers are completely split on how they feel about the amount of vehicle control being handled by software-driven electronic systems. Key Things to Know: Autonomy vs. Control: Fully autonomous vehicles rely on advanced software to handle critical driving functions, raising questions about the balance between human control and automated decision-making.
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Oct 7, 2024 |
electropages.com | Paul Whytock
Key Things to Know: Tactile sensor technology is set to significantly enhance autonomous vehicle safety by improving the vehicle's ability to "feel" road conditions, working in tandem with existing sensor systems. Human-like perception in driving decisions remains a challenge for AVs, but advances in tactile sensing aim to mimic the nuanced abilities of human drivers.
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Aug 15, 2024 |
electropages.com | Paul Whytock
15-08-2024 | By Key Things to Know: AI's Growing Role in Medicine: AI is increasingly being used in various medical applications, from diagnosis to long-term care planning. Doctors' Concerns: Despite AI's potential, doctors are cautious due to concerns about diagnostic errors, transparency issues (Black Box Syndrome), and the erosion of patient trust. Patient Trust Issues: Studies show that patients are often reluctant to trust AI, preferring human doctors for diagnosis and treatment.
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