Hey everybody! These are some results from my 9 months of bulking. Everything as far as lifting is done in a small home gym, power rack, dumbbells, and a cable machine. I run a 5 day split that I’...
Along the rapid development of deep learning techniques in generative models, it is becoming an urgent issue to combine machine intelligence with human intelligence to solve the practical applications. Motivated by this methodology, this work aims to...
We study the problem of estimating the \emph{value} of the largest mean among K distributions via samples from them (rather than estimating \emph{which} distribution has the largest mean), which arises from various machine learning tasks including Q-...
Federated learning (FL) with a single global server framework is currently a popular approach for training machine learning models on decentralized environment, such as mobile devices and edge devices. However, the centralized server architecture pos...
Many approaches for addressing Global Optimization problems typically rely on relaxations of nonlinear constraints over specific mathematical primitives. This is restricting in applications with constraints that are black-box, implicit or consist of...
Just installed Visual Studio Code 1.1.1 on a Windows 7 machine. When I right-click on a folder, "Open With Code" does not appear.
This work presents the results of project CONECT4, which addresses the research and development of new non-intrusive communication methods for the generation of a human-machine learning ecosystem oriented to predictive maintenance in the automotive i...
Protecting user privacy is a major concern for many machine learning systems that are deployed at scale and collect from a diverse set of population. One way to address this concern is by collecting and releasing data labels in an aggregated manner s...
bootOS is a monolithic operating system in 512 bytes of x86 machine code. (⭐ 2038)
We extend recent 256 SSE vector work to 512 AVX giving a four fold speedup. We use MAGPIE (Machine Automated General Performance Improvement via Evolution of software) to speedup a C++ linear genetic programming interpreter. Local search is provided...
In this paper, we present a groundbreaking paradigm for human-computer interaction that revolutionizes the traditional notion of an operating system. Within this innovative framework, user requests issued to the machine are handled by an interconne...
Autonomous vehicle (AV) technology is transforming the landscape of transportation bypromising safer, more efficient, and sustainable mobilitysolutions. In recent years, significant advancements in AI, machine learning, sensor fusion, and vehicle-to-...
We present Deep Illumination, a novel machine learning technique for approximating global illumination (GI) in real-time applications using a Conditional Generative Adversarial Network. Our primary focus is on generating indirect illumination and sof...
Processing information locked within clinical health records is a challenging task that remains an active area of research in biomedical NLP. In this work, we evaluate a broad set of machine learning techniques ranging from simple RNNs to specialised...
Clinical machine learning is increasingly multimodal, collected in both structured tabular formats and unstructured forms such as freetext. We propose a novel task of exploring fairness on a multimodal clinical dataset, adopting equalized odds for th...
"Nick Bostrom: How can we be certain a machine isn't conscious?". The Spectator. Retrieved 2023-06-23. Chalmers, David (August 9, 2023). "Could a Large
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Go to Preferences page and choose from different actions for taps or mouse clicks. See Google Translate's machine translation of 'autor'.
The cost of error in many high-stakes settings is asymmetric: misdiagnosing pneumonia when absent is an inconvenience, but failing to detect it when present can be life-threatening. Because of this, artificial intelligence (AI) models used to assist...
3D Printed Rotary Tattoo Machine (⭐ 20)