AI & RoboticsNews

Calling all gen AI disruptors of the enterprise! Apply now to present at Transform 2025

December 6, 2024
The Innovation Showcase is back at Transform: The Orchestration of Enterprise Agentic AI at Scale, in June 2025 in San Francisco. We’re on the hunt for the 10 generative AI products most likely to disrupt the enterprise. If you think your technology fits this bill, we’d like to invite you to present its impact on the main stage at Transform. Those selected to present will do so in front of an…
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AI & RoboticsNews

Liquid AI’s new STAR model architecture outshines Transformer efficiency

December 5, 2024
As rumors and reports swirl about the difficulty facing top AI companies in developing newer, more powerful large language models (LLMs), the spotlight is increasingly shifting toward alternate architectures to the “Transformer” — the tech underpinning most of the current generative AI boom, introduced by Google researchers in the seminal 2017 paper “Attention Is All You Need.“ As…
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Cleantech & EV'sNews

Electrogenic is giving Mazda Miata fans an EV version with its 'Plug-and-Play' conversion kit

December 5, 2024
Mazda Miata fans rejoice! EV conversion specialist Electrogenic has introduced a new “plug-and-play” conversion kit for the Mazda MX-5 that makes the original model all-electric. This EV conversion kit keeps the soul of the beloved Mazda Miata, but adds more performance and playfulness to a car that is already renowned for being a joy to drive. The Mazda MX-5, known by many in North America as…
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AI & RoboticsNews

Anthropic releases Model Context Protocol to standardize AI-data integration

November 26, 2024
One decision many enterprises have to make when implementing AI use cases revolves around connecting their data sources to the models they’re using. Different frameworks like LangChain exist to integrate databases, but developers must write code whenever they connect models to a new data source. Anthropic hopes to change that paradigm by releasing what it hopes to be a standard in data…
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