Software

AI Framework ‘SegFusion’ Achieves 99% Melanoma Detection Accuracy Researchers at Northeastern University have developed a groundbreaking AI-powered framework, SegFusion, capable of detecting melanoma with 99.01% accuracy. This hybrid system enhances skin cancer diagnosis by combining two deep learning models. The first model identifies suspicious spots on skin images, and the second analyzes these areas to determine if they are cancerous. The high accuracy of SegFusion is a significant advancement in medical imaging AI and is expected to aid medical practitioners in the early diagnosis of this serious form of skin cancer. Early cancer detection is crucial, as melanoma can become life-threatening if it metastasizes. The United States is projected to have about 212,000 new cases of melanoma diagnosed in 2025. ...

OpenAI Taps Thinking Machines as First APAC Services Partner to Boost Enterprise AI Thinking Machines Data Science is now OpenAI’s first official services partner in the Asia-Pacific (APAC) region. This strategic collaboration aims to accelerate enterprise AI adoption across APAC. Thinking Machines will provide businesses with specialized training for ChatGPT Enterprise, support for building custom AI applications, and expert guidance on integrating AI into daily operations. The partnership will initially target Singapore, the Philippines, and Thailand, with future plans to expand into other markets and develop tailored services for key sectors like finance, retail, and manufacturing. This initiative directly addresses the challenge many regional companies face in converting AI adoption into tangible business value. ...

OpenAI Releases GPT-OSS, Its First Open-Source Large Language Models In a significant move for the AI and open-source software communities, OpenAI has released GPT-OSS, its first-ever family of open-source large language models. Licensed under the permissive Apache 2.0, this release introduces two powerful models: gpt-oss-120b and gpt-oss-20b. Both are engineered for efficient inference and strong reasoning, leveraging a Mixture-of-Experts (MoE) architecture. The larger gpt-oss-120b model rivals OpenAI’s proprietary o4-mini and operates on a single 80GB GPU. Meanwhile, the compact gpt-oss-20b model, comparable to o3-mini, is optimized for on-device AI applications, requiring as little as 16GB of memory. Complementing the models, OpenAI also launched ‘Harmony,’ an open-source project defining a new prompt template format. ...