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Designing accurate all-atom protein structures is a critical challenge in bioengineering, as it involves generating both 3D structural data and 1D sequence information to define side-chain atom placements. Most approaches currently rely heavily on resolved experimentally determined structural datasets, which are scarce and biased, thereby limiting exploration of the natural protein space. Moreover, these approaches… Read more

Artificial intelligence systems are becoming integral to various aspects of society, yet understanding their real-world impact presents significant challenges. While user data offers valuable insights into how these systems are used, ethical and privacy concerns hinder its analysis. Manual examination of raw conversations raises risks of privacy breaches and exposure to sensitive content. Moreover, the… Read more

A Deep Neural Network (DNN) is an artificial neural network that features multiple layers of interconnected nodes, also known as neurons. These layers include an input, multiple hidden, and output layers. Each neuron processes input data by applying weights, biases, and an activation function to generate an output. The “deep” aspect of DNNs comes from… Read more

The growing reliance on video data in machine learning applications has exposed several challenges in video decoding. Extracting meaningful frames or sequences efficiently and in formats suitable for model training often requires complex workflows. Traditional pipelines can be slow, resource-intensive, and cumbersome to integrate into machine learning frameworks. Furthermore, the lack of streamlined APIs complicates… Read more

As artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) become central to innovation across industries, they also bring challenges that cannot be ignored. These workloads demand powerful computing resources, efficient memory management, and well-optimized software to make the most of the hardware. For developers, migrating legacy code to GPU-based frameworks can feel like… Read more

Large language models have made impressive strides in understanding natural language, solving programming tasks, and tackling reasoning challenges. However, their high computational costs and dependence on large-scale datasets bring their own set of problems. Many of these datasets lack the variety and depth needed for complex reasoning, while issues like data contamination can compromise evaluation… Read more

Australian CIOs are being called to support a groundbreaking initiative that is transforming lives and addressing critical talent shortages in the technology sector. Through a programme led by New Zealand-based charitable organisation Take2, people serving prison terms are being trained in technology skills while still in the corrective system, equipping them for meaningful careers upon… Read more

A new class action lawsuit alleges poor working conditions and “exploitive” behavior by AI data processing company Scale AI, saying that workers responsible for generating much of its product were mischaracterized by the company as independent contractors, rather than full employees. Scale AI’s core business centers on using human input to label and shape AI… Read more

가트너는 포춘 500대 기업의 고객 서비스 전략이 획기적으로 변화할 것으로 예측했다. 이에 따르면 2028년까지 기업의 30%가 텍스트, 이미지, 음성 상호 작용을 처리할 수 있는 단일 AI 기반 서비스 채널을 통해 서비스 운영을 간소화할 전망이다. 이런 변화는 기업이 고객 서비스를 처리하는 방식을 재정의할 수 있다. 다시 말해 기존의 다채널 방식에서 간소화된 AI 지원 시스템으로 전환하게 될… Read more