Crystal Method
Unleashing the True Potential of AI

Changing market dynamics are driving Asia-Pacific companies to take a more systematic and targeted approach to ensuring that their AI initiatives scale quickly and have a greater impact on the bottom line. Artificial intelligence (AI) research, development, and commercialization are progressively expanding throughout Asia. AI startup and research hubs are emerging all over the world, from Japan to Singapore, a harbinger of the coming technological leapfrog. The number of firms embracing automation and artificial intelligence to improve their competitiveness - and their chances of survival - is on the rise as the scope and pace of change continues to accelerate. A number of Japanese startups are at the forefront of AI innovation in machine and deep learning. To this end is a Japanese Firm, Crystal Method providing cutting-edge AI technology that supports business of companies by collaborating with various academic societies and research institutes.

The company’s team is engaged in research and development of new financial services that make full use of AI and IT technology. Crystal Method's core lies in its AI contract R&D company, which specialises in tough R&D. Samsung and Amazon were among the top 1,000 R&D spenders in the 2018 report, with R&D spending of US $ 782.0 billion, up 11.4 percent year over year and the largest since the poll began. Toyota Motor Co., Ltd., which ranks 10th, is the highest-ranking Japanese company. There were 160 Japanese firms in the top 1,000, with R&D investment totaling US $ 117 billion.

The organization is working on sound related AI research and development. Crystal Method is working on deep learning for sound 2D, 3D AI, abnormal sound judgment, sound source separation, voice synthesis, and multimodal emotion detection. In addition, the company is working on artificial intelligence (AI) that can handle 2D images. To discover what is most similar to the input image, image classification employs a technique known as convolution neural networks (CNNs). A convolution layer is generated by computing the feature amount of the overlapped part of the filter and the image by matching the area called the filter with the input image as the background for utilising this CNN, and the convolution layer is extracted. The experts are good at assessing image classification (normal / abnormal) of sofas and other non-fixed-shape products at Crystal Method, and the company has a 99 percent accuracy rate.

Crystal Method has also introduced a facial expression reflection function into HAL3 , developing with a temporary hypothesis that "the more facial expressions you have, the easier it is to build a relationship of trust with AI and the better the image of service users." This interactive AI HAL3 is further equipped with an emotion recognition function, which enables highly accurate emotion recognition.

Programming languages are meant to convey intent to a computer and are designed to be easily interpreted and executed by the computer. However, trying to instruct a computer in natural language is not so easy because natural language has ambiguities with various interpretations of words and sentences. This is where Crystal Method’s natural language processing is a general attempt to confront such difficulties and make a computer handle complex and esoteric natural languages. Going ahead, the firm will continue to research about the last AI and making presentations at academic conferences and study groups.