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Explanatory material "Why Do Systems Fail with Deep Learning?"

Explanatory material "Why Do Systems Fail with Deep Learning?"

Based on knowledge and experience in AI system development, this explains four examples of failures and challenges, along with proposed solutions.

This document introduces four examples of failures and challenges related to system development utilizing deep learning, as well as their solutions. It provides a concrete explanation of the constraints related to AI knowledge expansion and judgment, and it can also be useful for understanding the current state of the AI development environment in Japan. 【Topics Covered】 ■ Costs and man-hours of AI implementation ■ Constraints related to knowledge expansion ■ Constraints of knowledge models ■ Challenges faced by AI development in Japan *For more details, please refer to the PDF download. Feel free to contact us with any inquiries.

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[Research Material] The Global Market for Deep Learning in Drug Discovery and Diagnostics

[Research Material] The Global Market for Deep Learning in Drug Discovery and Diagnostics

Global Market for Deep Learning in Drug Discovery & Diagnostics: Drug Discovery, Diagnostics, Forensic Interventions, Others, Pharmaceutical Companies, Biotechnology Companies, Contract ...

This research report (Global Deep Learning in Drug Discovery and Diagnostics Market) investigates and analyzes the current state and future outlook of the global market for deep learning in drug discovery and diagnostics over the next five years. It includes information on the overview of the global deep learning market in drug discovery and diagnostics, trends of major companies (sales, selling prices, market share), market size by segment, market size by major regions, and distribution channel analysis. The segments of the deep learning market in drug discovery and diagnostics by type include drug discovery, diagnostics, forensic interventions, and others, while the segments by application target pharmaceutical companies, biotechnology companies, contract research organizations, and medical IT. The regional segments are categorized into North America, the United States, Europe, Asia-Pacific, Japan, China, India, South Korea, Southeast Asia, South America, the Middle East, and Africa, to calculate the market size of deep learning in drug discovery and diagnostics. It also includes the market share of major companies in deep learning for drug discovery and diagnostics, product and business overviews, and sales performance.

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