AI is transforming software development, but the actual enterprise impact won’t come from how fast code is written—it’s how code quality is maintained at scale. Code can now be generated in seconds, yet making the code actually operate in production across thousands of interconnected services remains the hardest problem to solve. The new bottleneck isn’t speed, it’s context. For AI to generate code that will operate in a production environment, the prompter must articulate their intent clearly (a […]

Ver mais

Key Highlights – Meta has been selling AI glasses since 2023. The problem it has not fully solved until now is that the majority of its potential buyers already wear prescription lenses every day, and a second pair purely for AI features is not a compelling ask. The Ray-Ban Meta Blayzer Optics and Scriber Optics, announced today, are built around that specific problem. Both models are Gen 2 hardware. The Blayzer comes in rectangular frames in standard and […]

Ver mais

arXiv:2601.05371v1 Announce Type: new Abstract: Gaussian Process (GP) regression is a powerful nonparametric Bayesian framework, but its performance depends critically on the choice of covariance kernel. Selecting an appropriate kernel is therefore central to model quality, yet remains one of the most challenging and computationally expensive steps in probabilistic modeling. We present a Bayesian optimization framework built on kernel-of-kernels geometry, using expected divergence-based distances between GP priors to explore kernel space efficiently. A multidimensional scaling (MDS) embedding of […]

Ver mais

arXiv:2601.14485v1 Announce Type: new Abstract: The dynamic multi-mode resource-constrained project scheduling problem is a challenging scheduling problem that requires making decisions on both the execution order of activities and their corresponding execution modes. Genetic programming has been widely applied as a hyper-heuristic to evolve priority rules that guide the selection of activity-mode pairs from the current eligible set. Recently, an activity group selection strategy has been proposed to select a subset of activities rather than a single activity […]

Ver mais

arXiv:2603.25824v1 Announce Type: new Abstract: Spatially-coupled (SC) codes are a class of low-density parity-check (LDPC) codes that is gaining increasing attention. Multi-dimensional (MD) SC codes are constructed by connecting copies of an SC code via relocations in order to mitigate various sources of non-uniformity and improve performance in many storage and transmission systems. As the number of degrees of freedom in the MD-SC code design increases, appropriately exploiting them becomes more difficult because of the complexity growth of […]

Ver mais

arXiv:2603.08287v1 Announce Type: new Abstract: We analyze the Bayesian regret of the Gaussian process posterior sampling reinforcement learning (GP-PSRL) algorithm. Posterior sampling is an effective heuristic for decision-making under uncertainty that has been used to develop successful algorithms for a variety of continuous control problems. However, theoretical work on GP-PSRL is limited. All known regret bounds either fail to achieve a tight dependence on a kernel-dependent quantity called the maximum information gain or fail to properly account for […]

Ver mais

Introduction The hypermedia renaissance is in full swing. After years of SPA dominance, developers are rediscovering the power of server-driven architectures that leverage HTML as the engine of application state. The framework leading this charge, HTMX, focuses exclusively of hypermedia. An alternative, Lightview, doesn’t lock you into hypermedia-only patterns. Unlike HTMX’s focused hypermedia approach, Lightview is a multi-paradigm framework that supports and hypermedia patterns, functional programming with template tag functions like BauJS [https://github.com/grucloud/bau], and JSON representation (like JurisJS […]

Ver mais

As global commerce becomes increasingly decentralized, the ability to communicate clearly across borders and languages has become a prerequisite. But cross-border communication often suffers from language friction, slow replies, unnatural phrasing, and inappropriate tone, all of which can make teams look unprofessional and reduce trust. TranGPT solves exactly this problem. TranGPT exists to remove language frictions and make multilingual communication feel natural, fast, and professional. This social translation app is designed to help professionals communicate effectively and efficiently […]

Ver mais