Meet Serra: An AI-Driven Search Engine for Recruiters to Find Best-Fit Candidates both Within Their ATS and Outside of It

Challenges in AI 3D Mesh Generation Creating 3D models from text descriptions is a major challenge in artificial intelligence. Traditional methods limit large language models (LLMs) from combining text and 3D content creation. Many existing frameworks…

An Analytics Engineer is responsible for transforming raw data into a format that can be used by Data Analysts to create reports and dashboards. They bridge the gap between Data Engineers and Analysts, allowing Data Engineers…

Revolutionizing AI Inference with Together AI Unveiling the Next Generation of AI Performance Together AI has introduced a groundbreaking advancement in AI inference with its new inference stack. The stack offers decoding throughput four times faster…

Solving the ‘Lost-in-the-Middle’ Problem in Large Language Models: A Breakthrough in Attention Calibration Practical Solutions and Value Despite the advancements in large language models (LLMs), they often struggle with long contexts, leading to the “lost in…

Practical Solutions for Neural Architecture Search Challenges in Traditional NAS Neural Architecture Search (NAS) automates the design of neural network architectures, reducing time and expert effort. However, it faces challenges due to extensive computational resources and…

RealNet, a groundbreaking self-supervised anomaly detection framework, integrates Strength-controllable Diffusion Anomaly Synthesis (SDAS), Anomaly-aware Features Selection (AFS), and Reconstruction Residuals Selection (RRS). It outperforms existing methods on benchmark datasets and introduces the Synthetic Industrial Anomaly Dataset…

Inflection AI introduces Inflection-2.5, a high-performing large language model (LLM) aimed at addressing computational resource challenges encountered by LLMs such as GPT-4. It promises comparable performance to GPT-4 while utilizing only 40% of the computational resources,…

CD Projekt, the developers of Cyberpunk 2077, utilized AI technology to bring back the voice of the late Miłogost Reczek for their game Phantom Liberty. Instead of re-recording all of Reczek’s lines with a different actor,…

Apple researchers are exploring the possibility of using artificial intelligence to detect when a user speaks to a device, potentially eliminating the need for a trigger phrase like “Hey Siri.” The study, involving speech and acoustic…

Hidet, an open-source Python-based deep-learning compiler by CentML Inc., tackles the vital need for optimized inference workloads in deep learning. Its unique approach introduces task mappings, automates fusion optimization, and demonstrates significant performance improvement and reduced…

Researchers have developed Wonder3D, an innovative method for generating high-quality 3D models from single-view images. It addresses the limitations of existing approaches, such as time-consuming optimization and low-quality results. Wonder3D utilizes a cross-domain attention mechanism and…

The intersection of artificial intelligence and chess has been a testing ground for computational strategy and intelligence. Google DeepMind’s groundbreaking study trained a transformer model with 270 million parameters on 10 million chess games using large-scale…

Enhance Knowledge-to-Text Generation with TWEAK Neural knowledge-to-text generation models often struggle to faithfully generate descriptions for the input facts. To address this, we propose a novel decoding method, TWEAK (Think While Effectively Articulating Knowledge), which reduces…

Introducing MG-LLaVA: Enhancing Visual Processing with Multi-Granularity Vision Flow Addressing Limitations of Current MLLMs Multi-modal Large Language Models (MLLMs) face challenges in processing low-resolution images, impacting their effectiveness in visual tasks. To overcome this, researchers have…

Understanding Bias in AI and Practical Solutions Intrinsic Biases in Datasets and Models Datasets and pre-trained AI models can have built-in biases. Most solutions identify these biases by analyzing misclassified samples with some human involvement. Deep…

Practical AI Solutions for Business Advancement Mapping Neural Networks to Graph Structures: Enhancing Model Selection and Interpretability through Network Science Machine learning and deep neural networks (DNNs) drive modern technology, impacting products like smartphones and autonomous…

Practical Solutions for Optimizing Energy Efficiency in Machine Learning Overview With technology advancing rapidly, it is crucial to focus on the energy impact of Machine Learning (ML) projects. Green software engineering addresses the issue of energy…

The Advancements of GPT-4o in AI Technology Enhancing Interactivity and Accessibility The latest innovations in AI aim to harmonize text, audio, and visual data within a single framework, reducing response times and improving communication experiences. Traditional…