In DigitalOcean’s 2026 Currents research report, 60% of respondents say applications and agents represent the greatest ...
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
The startup Taalas wants to deliver a hardwired Llama 3.1 8B with almost 17,000 tokens/s with the HC1 – almost 10 times ...
Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...
Taalas has launched an AI accelerator that puts the entire AI model into silicon, delivering 1-2 orders of magnitude greater performance. Seriously.
Morning Overview on MSN
AI’s fatal flaw exposed as top models flunk basic logic tests
Leading AI models are failing basic logic tests at alarming rates, and the consequences extend well beyond academic curiosity. New research shows that the same systems millions of people rely on for ...
Large language models (LLMs) like ChatGPT show reasoning errors across many domains. Identifying vulnerabilities is good for public safety, industry, and the scientists making these models. The human ...
Southeast Asia and India will likely emerge as volume-based back-end assembly and test hubs, specializing in select areas of the back-end processes.
For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built solution.
Orbital data center proponents often say that thermal management is “free” in space, but that’s an oversimplification.
The field of artificial intelligence has reached a point where simply adding more data or increasing the size of a model is not the best way to make it more intelligent. For the past few years, we ...
Abstract: This paper deals with the logical and computational foundations of multi-step fuzzy inference using the MamdaniAssilian type of fuzzy rules. We propose some implementation of this inference ...
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