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text-based-depression-estimation-using-machine-learning-with-standard-labels:-systematic-review-and-meta-analysis

Text-Based Depression Estimation Using Machine Learning With Standard Labels: Systematic Review and Meta-Analysis

Review Shengming Zhang 1 , MSc, BSc ;  Chaohai Zhang 1 , BSc ;  Jiaxin Zhang 1, 2 , PhD  1School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, Guangdong, China 2Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science

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ai-can-now-assess-surgical-skills-using-a-1270-video-training-dataset

AI Can Now Assess Surgical Skills Using A 1270-Video Training Dataset

Laparoscopic surgery demands rigorous training, and recent advances in machine learning offer potential for automated, video-based assessment of surgical skills. However, progress is currently limited by the scarcity of large, annotated datasets. To overcome this challenge, we present the Laparoscopic Skill Analysis and Assessment (LASANA) dataset, comprising 1270 stereo video recordings of four fundamental laparoscopic

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frontiers-|-adaptive-multi-mode-locomotion-for-bipedal-wheel-legged-robots-via-sparse-mixture-of-experts-deep-reinforcement-learning

Frontiers | Adaptive multi-mode locomotion for bipedal wheel-legged robots via sparse mixture-of-experts deep reinforcement learning

Your new experience awaits. Try the new design now and help us make it even better BRIEF RESEARCH REPORT article Front. Robot. AI Sec. Robot Learning and Evolution Beijing Institute of Technology, Beijing, China The bipedal wheel-legged robot combines the high energy efficiency of wheeled movement with the 8 terrain adaptability of legged locomotion. However

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chemists-create-mosaic-of-ai-synthesis-knowledge

Chemists create mosaic of AI synthesis knowledge

It’s a common enough scenario in many synthesis labs: you know what starting material you have, and you know what product you need but not quite what reaction conditions will get you there. Unless you’re fortunate enough to know someone with deep expertise in the best reaction for the job, you’re likely going to spend

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nvidia-nemotron-3-nano-30b-moe-model-is-now-available-in-amazon-sagemaker-jumpstart-|-amazon-web-services

NVIDIA Nemotron 3 Nano 30B MoE model is now available in Amazon SageMaker JumpStart | Amazon Web Services

Artificial Intelligence Today we’re excited to announce that the NVIDIA Nemotron 3 Nano 30B model with  3B active parameters is now generally available in the Amazon SageMaker JumpStart model catalog. You can accelerate innovation and deliver tangible business value with Nemotron 3 Nano on Amazon Web Services (AWS) without having to manage model deployment complexities.

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a-smarter-way-for-ai-to-understand-text-and-images

A smarter way for AI to understand text and images

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more reliably, particularly those that require interpreting both text and images. In widely used tests to evaluate mathematical reasoning, AI models trained with this method outperformed others in solving math word problems containing

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unleashing-the-power-of-artificial-intelligence-and-machine-learning-for-seasonal-influenza

Unleashing the power of artificial intelligence and machine learning for seasonal influenza

Three-dimensional model of the influenza virus. Image courtesy of GSK. Influenza viruses remain one of the world’s greatest global health threats. The rapid evolution and spread of these viruses can lead to seasonal epidemics causing morbidity, mortality and a substantial socio-economic burden. Each year, an estimated 3–5 million severe cases and 290,000–650,000 respiratory fatalities worldwide

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fellow-working-to-develop-ai-prediction-model-for-myeloid-neoplasms

Fellow working to develop AI prediction model for myeloid neoplasms

Ahmed Ahmed, MBBCh, a hematopathology fellow in UNMC’s Department of Pathology, Microbiology and Immunology, is working on a study to develop a deep-learning model. The model would be capable of predicting IHC expression of the TP53 protein directly from H&E-stained whole slide images in myeloid neoplasms. TP53 mutation is a critical prognostic factor in myelodysplastic

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ai-helps-pinpoint-the-moons-first-soft-landing

AI Helps Pinpoint the Moons First Soft Landing

Luna 9 was the first spacecraft to soft-land on the Moon, sending the first images from the lunar surface to Earth. The Luna 9 landing was on February 3, 1966, 60 years ago. Despite the mission's success, its exact landing spot remained a mystery. Now, a new analysis may have solved it. A study led

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