IT lists

  Photonics-Electronics Convergence — Light Enters the Semiconductor Industry Photonics-electronics convergence refers to a technological trend that closely integrates electronic circuits with optical communications to support the massive data movement required in the age of AI and high-performance computing. Its core technologies include silicon photonics, Optical I/O, CPO (Co-Packaged Optics), optical chiplets, and PICs (Photonic Integrated Circuits) . Optical communication, once used mainly for external data-center links, is now moving steadily closer to semiconductor packages and chips. In Japan, NTT is developing PEC (Photonics-Electronics Convergence) as a core technology of its IOWN initiative, extending optical integration from networking toward computing. Intel has commercialized silicon photonics and developed OCI (Optical Compute Interconnect) chiplets, while Broadcom is integrating CPO with high-end Ethernet switching platforms such as Tomahawk. NVIDIA is also intr...

 When singularity theory is interpreted as a form of predestination, the central issue is not whether its forecasts are correct, but how history is narrated. Marx’s historical materialism explained social transformation through contradictions between the forces and relations of production. In later interpretations, however, this framework was often simplified into a developmental history in which societies necessarily pass through fixed stages and ultimately arrive at communism. Here, historical law replaces divine will as the force guaranteeing salvation. Singularity theory often adopts a similar structure. The growth of computing power, recursive AI self-improvement, and the emergence of superintelligence are presented as a unidirectional sequence. Human choice and institutional design are then reduced to forms of adaptation to a future that has already been decided. Yet neither technological innovation nor the development of productive forces determines social outcomes by itself...

  Design Policy for Dynamic Lane Materialization Using OVER_LAYER In this design, lanes are not defined as fixed entities that require separate management. The existence of a lane is represented simply by its presence as a member of the lane array. Therefore, no lane master table, existence flag, enabled state, or dedicated management ID is introduced. OVER_LAYER serves as the central table for describing the internal structure of each lane after the lane itself has been established. Each row represents the lane to which a layer belongs, the identity of that layer, the label it exposes, the number of repetitions, and its position within the nesting structure. In the current design, rows belonging to the same lane are arranged from the innermost layer to the outermost layer, and the row order itself forms part of the structural information. Lanes are not constructed and fixed in advance during program generation. Instead, when a trampoline execution request occurs, the rows belongi...

  Phasewise Code Recasting Phasewise Code Recasting is a descriptive principle in which the same value or processing target is recast into the code representation best suited to each phase, such as input, evaluation, accumulation, and output. For example, mouse coordinates appear first as properties of a harness, then as local variables during condition checking, as an array stored in a FIFO during history accumulation, and finally as arguments passed to the circle function during rendering. What matters here is that the target itself does not become a different entity; rather, the way it is read and passed changes as the process advances. Where conventional design often defines a unified data structure in advance and places all operations inside it, this notation permits each phase to adopt its most natural form. Lightweight JavaScript features—such as destructuring, condition arrays, FIFO storage, and spread syntax—serve as points of connection between phases. This makes it easi...

  Famicom Programming Even Giko Cat Can Understand is a Japanese-language tutorial that invites the reader to appreciate the Family Computer not merely as a finished consumer product, but as a small computer in which the CPU, PPU, memory, interrupts, and input devices operate in close coordination. Beginning with the installation of NESASM, the course proceeds through palettes, sprites, controller input, zero-page memory, DMA, VBlank, background scrolling, sound, the stack, raster scrolling, indirect addressing, and memory mappers. The reader therefore comes to understand a game not simply as a completed arrangement of images and sounds, but as a process of allocating time instruction by instruction, placing state within limited memory, and rewriting the screen in synchronization with the scanlines. The distinctive appeal of the site lies in its rejection of the polished abstractions associated with modern frameworks. Through examples that the author openly describes as rough and ...

## Executive summary If your goal is to get a **Unitree G1** running *in a browser*, the strongest practical options split into three tiers. **For highest fidelity and direct use of G1’s existing MJCF assets, MuJoCo’s official JavaScript/WebAssembly bindings are the best fit**: MuJoCo natively loads **MJCF and URDF**, its web bindings are now official, and the bindings expose a workable file-system model for loading XML assets in-browser. Unitree’s own G1 description package explicitly ships **URDF and MJCF** variants, so the asset path is already aligned. The trade-off is that the web bindings are still marked **work in progress**, and you still need to build a small upload/asset-loading wrapper yourself. citeturn14view1turn15view1turn19view0 If you want the **fastest path to “a standing G1 in the browser”**, **Three.js + URDFLoader** is the easiest route. It is effectively a browser-native robot viewer with joint control, drag-and-drop examples, package-path handling, and custom...