AI System to Generates Synthetic Scans of Brain

These scans are used to teach AI diagnostic system
18 September 2018   353

A group of researchers developed an artificial intelligence capable of generating sets of images of an MRI of a human brain. The technology is designed to increase the effectiveness of training AI, specializing in the diagnosis of brain cancer. Tests showed that the effectiveness of diagnostic programs trained on generated kits increased by 14%.

The project was implemented jointly by specialists from NVIDIA, the Mayo Clinic and the Clinical Data Research Center. Development based on the generative and adversarial network structure (GAN) was conducted on the NVIDIA DGX platform using the PyTorch deep training systems. Two interconnected artificial intellects were used. One network generated its own MRI snapshots on the basis of real ones, and the second tried to distinguish real from fake ones.

GAN automatically marks the created sets of MRI images, which significantly speeds up learning. With manual annotation, this work takes experts many hours. In addition, since the system does not consider the brain and tumor as a whole, the operator can correct the picture by moving the tumor or changing its size.

Hu Chang, one of the authors of the study, said that the generated MRI kits also solve the problem of using confidential information. These pictures form a medical secret, and permission is required to use them. And the resulting system can be publicly available.

Hardware limitations forced the team to reduce the resolution of the original images by 8 times. Also, at the moment, neoplasms sometimes look "superimposed" on a snapshot. In the future, researchers plan to eliminate these shortcomings.

When teaching neural networks-diagnosticians, the question of the availability of training datasets is relevant. Developed by German scientists, AI, which determines myocardial infarction by ECG, used as input only 200 records. According to the creators, this seriously worsened the efficiency of the system. Tools that create datasets for learning neural networks are designed to help solve this problem.

Microsoft to Use AI to Create Human Voice

Synthetic voice is nearly indistinguishable from recordings of people
27 September 2018   457

Researchers from Microsoft recorded computer voice, imitating human speech. To overcome the difficulties of the traditional model, they used neural networks for speech synthesis. Microsoft promises to provide support for 49 languages ​​and the ability to create unique voices for the needs of companies in the near future.

Synthesis of speech with the help of neural networks involves comparing the stress and length (so-called prosody) of the speaker's speech units, as well as their synthesis into a computer voice. In systems of traditional speech synthesis, prosody is divided into acoustic and linguistic analysis, controlled by various models. As a result, the speech is noisy and indistinct. Representatives of Microsoft argue that in the model of neural synthesis two stages are combined into one, so the voice sounds like a real one.

The developers are convinced that the synthesis of speech with the help of neural networks will make it more natural to communicate with virtual interlocutors and assistants. Moreover, it will enable you to convert e-books into audiobooks and will allow you to change the scoring of built-in navigators.

Microsoft Neural TTS
Microsoft Neural TTS

Azure computing power is available for real-time use, and Azure Kubernetes is responsible for this. Simultaneous application of neural synthesis of speech together with traditional speaks about expansion and increase of availability of service. At the moment, there are a female voice named Jessa and a man named Guy.

Microsoft is competing in speech recognition and synthesis technologies with Google, which updated its services in late August 2018. Google Cloud announced the release of a stable API for the synthesis of speech Cloud Text-to-Speech with the experimental function of audio profiles and support for several new languages.