IMPACT = EYE-CATCH DISPLAY + REAL WORLD SELF-SERVE VIRTUAL HUMAN COMMERCE
GEMZ GEN AI PI - (Personalize Interactive) With The HologramPopUp Game-Changer That Drives New Revenue!
SOME OF OUR PARTNERS
.jpg/:/rs=h:100,cg:true,m)
.png/:/cr=t:0%25,l:0%25,w:100%25,h:100%25/rs=h:100,cg:true)
.png/:/rs=h:100,cg:true,m)
.png/:/rs=h:100,cg:true,m)
.png/:/rs=h:100,cg:true,m)
.jpg/:/rs=h:100,cg:true,m)
.jpg/:/rs=h:100,cg:true,m)
-17cd637.png/:/rs=h:100,cg:true,m)
gemz GENERATIVE AI unlocking human imagination & memory
In a world driven by constant connectivity and so much content available, home, online experiences and mobile access needs to be more personalized than ever before.
GEMZ AI with Hologram PopUp Stores hyper-personalized approach provides the most relevant and customized experience for each user, that includes Personalized Inventory 3D.
Generative AI Is Unlocking The Amazing Workings Of Human Imagination And Memory
Personalized experiences to drive customer loyalty. The era of the one-size-fits-all approach is long gone. Personalization has emerged as the cornerstone for designing strategies that place consumers at the heart of all decisions and interactions.
This foundational shift enables brands to connect with consumers on a deeper emotional level, fostering repeat purchases, customer loyalty, and heightened engagement.
This consumer-centric focus has evolved into the central theme of a retail brand’s go-to-market strategy, and 2024 is no exception to this prevailing trend. In 2023, we witnessed the inception of a new era in personalization as retailers committed to leveraging cuttingedge technologies like augmented reality (AR) and virtual reality (VR) to harmonize in-store and online experiences by empowering customers to make more informed purchases.
Retailers will build on this foundation in 2024 by elevating their hyper-personalization approaches, marking a progressive shift in customer marketing.
Hyper-personalization ignites the charge Throughout 2024, we will see an increase in hyper-personalization, whereby brands harness customer data, analytics, AI, and automation to craft customized and targeted customer experiences.
This approach equips brands with enhanced capabilities to deliver hyper-specific communications through preferred channels precisely when customers seek them. Beyond fortifying existing customer relationships, hyper-personalization fosters new customer connections, ultimately elevating the overall customer experience to drive more loyalty and revenue. In fact,
70 percent of US retailers say they will spend less on mass market promotions but foresee having greater sales through personalized offers.
A new study by UCL Institute of Cognitive Neuroscience proposes that generative AI can help explain both the human imagination and memory formation. The study utilized an AI computational model, also known as a generative neural network, to simulate how neural networks in the human brain learn from and remember a series of events.
The study used a computational model resembling the human hippocampus and neocortex’s neural networks, in order to simulate memory encoding and retrieval. Both the hippocampus and neocortex are believed to work together during memory, imagination, and planning. The study also provided new insights into the human memory’s role in survival, predicting future events, and comprehending memory distortions.
“Recent advances in the generative networks used in AI show how information can be extracted from experience so that we can both recollect a specific experience and also flexibly imagine what new experiences might be like,” explained lead author of the study, and Ph.D. student Eleanor Spens. “We think of remembering as imagining the past based on concepts, combining some stored details with our expectations about what might have happened.”
The researchers pointed out that humans need to make predictions in order to survive, such as being able to avoid hunger, or get out of a dangerous situation. The AI networks seem to suggest how, while remembering past experiences during rest periods, could help the human brain to pick up on patterns from past experiences that could provide insight into making survival predictions.
Spens noted, “We think of remembering as imagining the past based on concepts, combining some stored details with our expectations about what might have happened.”
During the study, researchers displayed 10,000 images of simple scenes to the computational model. The hippocampal neural network was able to quickly encode each scene as it was experienced. The model then replayed the scenes repeatedly to train the generative neural network of the neocortex as well.
The neocortical network’s ability to learn to pass the activity of thousands of input neurons, representing each scene via smaller intermediate layers of neurons that recreate the scenes as patterns of activity in its output neurons, helped the neocortical network to learn “highly efficient conceptual representations” of the scenes that capture their meaning. This allowed for the recreation of old scenes and the generation of new scenes.
The researchers added that the model was able to explain how new events can be generated during imagination and planning for future events.
“The way that memories are re-constructed, rather than being verdical records of the past, shows us how the meaning or gist of an experience is recombined with unique details, and how this can result in biases in how we remember things,” remarked senior author Professor Neil Burgess of the UCL Institute of Cognitive Neuroscience and UCL Queen Square Institute of Neurology.
GEMZ AI Team Is Available To Help With Immersive & Create Great 3D Commerce, Promotions, Apps, Video
With former executives from UCI, Disney, DreamWorks, Scripps, Nuance Voice, Cardinal Health, Motorola, NatGeo, Cousteau Society, United Nations and other world leaders, the AI World Channel is changing AI for the good.
