When Liquid AI, a startup founded by MIT computer scientists back in 2023, introduced its Liquid Foundation Models series 2 (LFM2) in July 2025, the pitch was straightforward: deliver the fastest ...
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MIT explains why most AI projects are failing
Executives have poured billions into artificial intelligence, only to discover that most of those projects never make it past the pilot stage or fail to deliver meaningful returns. A recent wave of ...
As generative AI systems scale at breakneck speed, so too does their environmental cost. Researchers at MIT are raising alarms about AI's growing carbon footprint, driven largely by the energy demands ...
Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...
While enterprises pour record investments into artificial intelligence, a critical infrastructure gap is quietly sabotaging billions in potential value. The numbers tell a sobering story. Worldwide ...
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