While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models. Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI ...
eastasiasoft will release the Switch version of Hyperdevotion Noire: Goddess Black Heart in Asia in spring 2026, the publisher announced. It will include English text support, as well as voice-overs ...
Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.
Forbes contributors publish independent expert analyses and insights. Amir is Founder of AI unicorn Avathon & Boeing/SC JV, SkyGrid. In the late 1990s, as an undergrad at The University of Texas at ...
TransferEngine enables GPU-to-GPU communication across AWS and Nvidia hardware, allowing trillion-parameter models to run on older systems. Perplexity AI has released an open-source software tool that ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
When choosing a large language model (LLM) for use in a particular task, one of the first things that people often look at is the model's parameter count. A vendor might offer several different ...
Anthrogen has introduced Odyssey, a family of protein language models for sequence and structure generation, protein editing, and conditional design. The production models range from 1.2B to 102B ...
Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...
Abstract: Deep reinforcement learning (DRL) has been implemented across various critical applications, including smart grids, trac management systems, and autonomous vehicles. To safeguard ...
The Madden–Julian Oscillation (MJO), as a key driver of global weather and climate anomalies, is an important source of subseasonal predictability. However, most climate models still struggle to ...
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