$VERS $VRSSF Today Gary Marcus highlighted in the New York Times that VERSES is going the right direction with their approach. Scale is not all you need.
$VERS $VRSSF At first, their success seems almost unbelievable—too good to be true. Yet, when you consider their achievements and reflect on just how much they’ve accomplished, it’s clear: they’ve truly earned every bit of recognition they receive
$VERS $VRSSF NeurIPS is what most AI researchers would call their “can't miss” event of the year. VERSES submitted papers. They will be talked about. Just wait and see.
$VERS $VRSSF Take it from the senior Microsoft consultant on linkedin that has been posting about VERSES nonstop for the past two months to his 13k followers who are probably mostly technologists. linkedin.com/posts/denis-o-…
$VERS $VRSSF Two years ago it was about rebranding for VERSES, and the go to market strategy. Last year it was about developing the product. This year it will be about return on investment capital now that the intellectual property is secure, the standards are published etc.
$VERS $VRSSF Data centers being built right now will soon be obsolete. VERSES AI has the answer. It’s small data. You don’t need to train an AI model on billions of points of data to get an accurate result. It’s over for them. pracap.com/global-crossin…
$VRSSF $VERS Spatial Web. VERSES has worked closely on the recently approved IEEE 2874 Spatial Web Standard designed to address interoperability and trust. VERSES plans to support the 2874 standards in future releases of Genius. This will enable enterprises to develop…
$VRSSF $VERS This quarter is shaping up to be bigger and better than any previous quarter. This will be the first full quarter of GENIUS revenue, the first quarter with an issued patent, with AXIOM, and apparently some big spatial web news coming.
$VERS $VRSSF AR/VR devices are expected to be a primary gateway for humans to access the Spatial Web, although form factor may eventually range from AR glasses or digital contact lenses to haptic wearables, IoT devices, sensors, robots, autonomous vehicles, and beyond
$VERS $VRSSF Autonomous vehicles use various sensors (camera, LiDAR, radar, ultrasonic) to perceive their environment.These sensors often overlap in functionality—if one fails or provides bad data, others can compensate, maintaining environmental awareness and decision-making.
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