Differentiable rendering is a novel field that helps to calculate the gradients of 3D objects and allows them to get propagated through images without 3D data collection and annotation. Rendering in computer graphics generates 3D scenes defined by geometry, materials, scene lights, and camera properties. Rendering is a complex process. Its differentiation cannot be uniquely defined; thus, a straightforward integration into neural networks is impossible. Differentiable rendering (DR) constitutes a family of techniques that tackle such integration for end-to-end optimization by obtaining useful ..read more

Embold is a simple but efficient AI-based static code analyzer that can help developers analyze and improve their code. The feature that truly makes it stand apart is its ability to analyze source code across four dimensions: code issues, design issues, metrics and duplication, and surface issues that impact stability, robustness, security, and maintainability. Embold Score, which is calculated from these four dimensions, has a feature that helps understand the risk areas and makes it easier to prioritize issues that need to be solved. It tells about the components that can significantly impa ..read more

Computer vision tasks have reached exceptional accuracy with new advancements in machine learning models trained with photos. Adding to these advancements, 3D object understanding boasts the great potential to power a more comprehensive range of applications, such as robotics, augmented reality, autonomy, and image retrieval. In early 2020, Google released MediaPipe Objectron. The model was designed for real-time 3D object detection for mobile devices. This model was trained on a fully annotated, real-world 3D dataset and could predict objects’ 3D bounding boxes. Still, it was a big chal ..read more

While machine learning development is increasing every day, a survey from Algorithmia states that most enterprises spend between 8 to 90 days deploying an ML model. Most people blame the failure to scale, followed by model reproducibility challenges such as lack of official buy-in and inadequate tooling. LinkedIn has recently open-sourced Dagli, a machine learning library for Java and other JVM languages. This library makes it easy to draft bug-resistant, understandable, modifiable, maintainable, and deployable model pipelines without incurring technical debt. A directed acyclic gra ..read more

It has been affirmed that the asymptomatic people infected with Covid-19 do not exhibit the disease’s visible physical symptoms. Thus they are less likely to get examined for the virus and unknowingly spread the infection to others around. Recently researchers at MIT have discovered that asymptomatic people differ from healthy people in the way they cough. Although the differences are not decipherable to the human ear, it is stated that artificial intelligence can be employed to discover them. Takeda Pharmaceutical Company Limited supported the research. Several healthy individuals have volun ..read more

The researchers at the ARC Centre of Excellence in Exciton Science have created a new type of machine learning model that could significantly speed up designing more efficient solar cells. Its importance in reducing carbon emissions is more significant than ever. This program helps to predict the power-conversion efficiency (PCE) of substances for application in next-generation organic solar cells, including virtual compounds that don’t exist yet. This method is fast and convenient to use, unlike other time-consuming and complex models. The code for this approach is also available for all sci ..read more

A recent research paper published by InterDigital AI Lab introduces CompressAI. CompressAI is a platform that provides custom operations, layers, models, and tools to research, develop, and evaluate end-to-end image and video compression codecs. It uses pre-trained models and evaluation tools to compare learned methods with traditional codecs. Various models have been trained on learned end-to-end compression from scratch and re-implemented in PyTorch. Artificial Neural Network (ANN) based codecs have shown remarkable outcomes for compressing images. This framework currently impleme ..read more

Major Histocompatibility Complex (MHC) alleles and peptides are sequences of amino acids. Peptides are shorter units of proteins, and MHC alleles are proteins essential for the immune system’s adaptivity as they help it recognize foreign substances. According to the WHO, cancer is the second leading cause of death worldwide. To help this situation, research is now focused on personalized cancer vaccines. As it is difficult for the immune system to distinguish between a healthy and a cancerous cell, personalized cancer vaccines intend to externally synthesize a peptide that, when pas ..read more

Object localization means locating an instance of a particular moving object in a scene. This is done by using visual data as the input with some applied physics and mathematics. However, there can be obstructions like low light conditions, fog, occlusions, etc., which may reduce the camera-based approach’s efficiency. To improve object localization in such unfavorable situations, a research group from MIT and IBM has proposed a Cross-modal auditory localization framework using stereo sound to locate objects in a better way. In certain situations where one has to localize an approaching ambul ..read more

The detection and prevention of software security threats are significant concerns among various individuals and corporations connected through data protocols. They relied on exclusive security firewalls, virus scans, and solutions that usually are not scalable to advance national security objectives. Open Source Security solutions now make it possible to create resilient solutions. The OpenCL data entry flow for the Field Programmable Gate Array (FPGA) design enables a designer to use open source solutions like the Suricata Intrusion Detection and stimulate their operation using the built-in ..read more