Short note on artificial intelligence in medical imagingHe YansongOpen Access Journals
of the last recession: modellers chose to calibrate the pricing of bundles of mortgages based on data for the real estate market in an up-swing period. Needless to say, these calibrations conveniently ignored what would happen when the market took a turn for the worse. Transport policy offer...
This paper proposes a voice control system based on artificial intelligence (AI) assistant. The AI assistant system using Google Assistant, a representative service of open API artificial intelligence, and the conditional auto-run system, IFTTT(IF This, Then That) was designed. It cost-effectively...
During his 90-minute keynote at the 2025 CES trade show on Monday, Huang presented new products to advance gaming, autonomous vehicles, robotics, and agentic artificial intelligence (AI) to more than 6,000 audience on site. He introduced the Nvidia GeForce RTX 5090 GPU, the most powerful GeF...
Deep learning has triggered the current rise of artificial intelligence and is the workhorse of today’s machine intelligence. Numerous success stories have rapidly spread all over science, industry and society, but its limitations have only recently come into focus. In this Perspective we seek to ...
Where authors use generative artificial intelligence (AI) and AI-assisted technologies in the writing process, authors should only use these technologies to improve readability and language. Applying the technology should be done with human oversight and control, and authors should carefully review an...
The robot is Zhang’s second model. As he has told Shenzhen TV, he’s planning to make a third one. He hopes to develop this robot___it can read lots of tags from far away. That means if a special tag___on your notebook, the robot can read the information from a lot of noteb...
At this point, in order to highlight the ability of CNNLSTM and LSTM in learning the temporal evolution of a gesture based on their internal memory, we note that such a pattern analysis was not possible on the outputs of CNNframe. For the sequence-level classification we used the same heu...
Besides, machine learning (ML) has been deliberated as a core technology in artificial intelligence (AI), and a variety of ML-based variant calling tools has been proposed such as SomaticSeq38, SNooPer39, NeuSomatic40, DeNovoCNN41 and so on. SomaticSeq is an ensemble variant caller that req...
These include three model potentials, the popular model molecule alanine dipeptide, and trajectory from single molecule force spectroscopy experiments on a multi-state riboswitch.20 The sample trajectories of these test systems and the data preprocessing strategies are put in the Supplementary Note 5 ...