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Meta this week unveiled a new chatbot connected to the Bing search engine that can have a conversation with a user and create images based on textual inputs.
Large language models are growing in size, as is the number of companies using generative AI technology. The more the models grow, the more CPUs they consume — exacerbating an already-strained chip supply chain.
Having a plan in place before deploying genAI for software product development and employee assistance tools is critical, says Navan CSO Prabhath Karanth. Otherwise, the threat potential is high.
ServiceNow's new chatbot works across applications and can summarize customer service interactions and perform case, incident, and agent chat summarizations; act as a virtual agent; and perform search functions.
The upcoming Meta Quest 3 is set to drive a rebound in business demand for AR/VR headsets, but Apple’s Vision Pro is expected to have only a muted impact on commercial adoption.
The metaverse concept has faced a lot of skepticism, but industrial firms appear keen to deploy technologies, such as digital twins and virtual reality devices, that serve as the precursors to more immersive and interconnected environments.
Apple this week demonstrated a new gesture to use with the latest Apple Watch — a two-finger tapping motion. These kinds of gestures could represent a whole new way of interacting with computers and other tech devices.
Large language models (LLMs) used for generative AI tools can consume vast amounts of processor cycles and be costly to use. Smaller, more industry- or business-focused models can often provide better results tailored to business needs.
You’d think that OpenAI’s new enterprise ChatGPT offering would directly threaten Microsoft’s big genAI push. The truth is more nuanced.
Unlike many companies mandating a return to office, HP has settled on a more relaxed view of hybrid work, enticing workers to come in with the latest technology and letting them and their managers choose when they need to be in the office.
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