AI & RoboticsNews

LEAP SDK: Revolutionizing Mobile AI Development

Liquid AI, the startup formed by former Massachusetts Institute of Technology (MIT) researchers to develop novel AI model architectures beyond the widely-used “Transformers“, today announced the release of LEAP aka the “Liquid Edge AI Platform,” a cross-platform software development kit (SDK) designed to make it easier for developers to integrate small language models (SLMs) directly into…
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AI & RoboticsNews

A new paradigm for AI: How ‘thinking as optimization’ leads to better general-purpose models

Researchers at the University of Illinois Urbana-Champaign and the University of Virginia have developed a new model architecture that could lead to more robust AI systems with more powerful reasoning capabilities. Called an energy-based transformer (EBT), the architecture shows a natural ability to use inference-time scaling to solve complex problems. For the enterprise, this could translate into…
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AI & RoboticsNews

Building voice AI that listens to everyone: Transfer learning and synthetic speech in action

Have you ever thought about what it is like to use a voice assistant when your own voice does not match what the system expects? AI is not just reshaping how we hear the world; it is transforming who gets to be heard. In the age of conversational AI, accessibility has become a crucial benchmark for innovation. Voice assistants, transcription tools and audio-enabled interfaces are everywhere. One…
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AI & RoboticsNews

Employee AI agent adoption: Maximizing gains while navigating challenges

In a Nutshell At VentureBeat’s Transform 2025, Matthew Kropp outlined a game plan for companies to derive value from agentic AI by focusing on workflow evolution and employee adoption. Companies should deploy, reshape, and invent with AI, amplifying employees’ productivity rather than replacing them. Overcoming the hurdle of adoption involves addressing capability ignorance, habit inertia…
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