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Gaming in 2023: What to expect from Microsoft, Sony, Amazon, Valve, Nintendo, and others

GeekWire

A similar licensing negotiation was being conducted with Smash World Tour, but it abruptly fell through Nov. The implication was that Panda had pulled strings at Nintendo to get a rival tournament canceled due to licensing, although Nintendo and Panda both deny those allegations. Valve’s Steam Deck. Thomas Wilde Photo).

Microsoft 131
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Meet the self-driving brains working with Volkswagen and Ford

The Verge

I feel like maybe the frame of our conversation is a little different — Argo makes self-driving hardware and software for cars. You make hardware and software that allows cars to drive themselves. Do you have any hardware demands? You see all the big tech companies are doing better than ever. You don’t make cars.

Meeting 119
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Self-driving cars: The 21st-century trolley problem

Vox

Tesla and Waymo have similar goals — safely transporting people — but totally different ways of getting there. | Both have similar goals — to safely transport people in autonomous vehicles — but they are operating with wildly different strategies. Waymo’s hardware is much more robust than Tesla’s.

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Cloud Computing- A Definitive Way to Amply your Business Productivity

Galido

Thumb drive and external drives enable some flexibility for people to transport essential files, however, there are limitations to storage space, as well as security, redundancy, reliability and can easily be lost or stolen. Run Applications on Any Hardware, and Have Your Own IT Dept. Private cloud.

Cloud 81
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Why most car dealers still don’t have any EVs

Vox

The dealership is preparing to install more EV charging hardware. There are more dealerships that have electric vehicles since the last time we did this report [in 2019], but it’s still shockingly low,” said Katherine García , director of the Clean Transportation for All Campaign at the Sierra Club.

Survey 94
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The AI rules that US policymakers are considering, explained

Vox

A recent paper by 24 AI governance experts (including co-authors from leading firms like Google DeepMind and OpenAI) argued that regulators should conduct risk assessments before release, specifically asking “1) which dangerous capabilities does or could the model possess, if any?