8 Matching Annotations
  1. Last 7 days
    1. Search gives you raw pages. GBrain gives you the answer. It's the brain layer your AI agent has been missing — the only one that does synthesis, graph traversal, and gap analysis in one box.

      「搜索给你原始页面,GBrain给你答案」——这句话精准定义了当前AI知识管理工具的核心缺口:检索能力已经过剩,但综合推理、图谱遍历和知识缺口分析几乎从未被整合到一个系统中。大多数RAG工具止步于「把最相关的文档块丢给LLM」,GBrain的差异化在于它将整个推理流程封装为基础设施层而非应用层。

  2. Aug 2024
    1. the brain is Islam Islam is it is lousy and it is selfish and still it is working yeah look around you working brains wherever you look and the reason for this is that we totally think differently than any kind of digital and computer system you know of and many Engineers from the AI field haven't figured out that massive difference that massive difference yet

      for - comparison - brain vs machine intelligence

      comparison - brain vs machine intelligence - the brain is inferior to machine in many ways - many times slower - much less accurate - network of neurons is mostly isolated in its own local environment, not connected to a global network like the internet - Yet, it is able to perform extraordinary things in spite of that - It is able to create meaning out of sensory inputs - Can we really say that a machine can do this?

  3. Dec 2023
      • for: AI, Anirban Bandyopadhyay, brain gel, AI - gel computer

      • title: A general-purpose organic gel computer that learns by itself

      • author
        • Anirban Bandyopadhyay
        • Pathik Sahoo
        • et al.
      • date: Dec. 6, 2023
      • publication: IOPScience
      • DOI: 10.1088/2634-4386/ad0fec

      • ABSTRACT

        • To build energy minimized superstructures, self-assembling molecules explore astronomical options, colliding ∼10 to 9th power molecules s to power−1. -Thusfar, no computer has used it fully to optimize choices and execute advanced computational theories only by synthesizing supramolecules.
        • To realize it,
          • first, we remotely re-wrote the problem in a language that supramolecular synthesis comprehends.
          • Then, all-chemical neural network synthesizes one helical nanowire for one periodic event. These nanowires self-assemble into gel fibers mapping intricate relations between periodic events in any-data-type,
          • the output is read instantly from optical hologram.
          • Problem-wise, self-assembling layers or neural network depth is optimized to chemically simulate theories discovering invariants for learning.
          • Subsequently, synthesis alone solves classification, feature learning problems instantly with single shot training.
          • Reusable gel begins general-purpose computing that would chemically invent suitable models for problem-specific unsupervised learning. Irrespective of complexity,
            • keeping fixed computing time and power, gel promises a toxic-hardware-free world.
  4. Apr 2022
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  7. Oct 2015