★Improve your conversation skills! "Voice Recognition Utilization Seminar for Face-to-Face Situations" [Seminar video available until December 23!]

For customer service and other face-to-face tasks! Transcribe face-to-face scenes using 2-channel recording and voice recognition!

"AmiVoice" is a solution for visualizing face-to-face operations, such as customer service, by recording the face-to-face scene in 2-channel audio, converting it to text through voice recognition, and capturing the voices of both staff and customers. As a 2-channel microphone device specialized in voice recognition, it uses the super-directional microphone "AmiVoice Front STO1" and the 2-channel aggregation device "AmiVoice Front HUB01" to record conversations. In addition to compliance measures, the various text data collected through voice recognition can be analyzed and utilized as valuable data. 【Features】 ■ For face-to-face operations such as customer service ■ AI voice recognition ■ 2-channel recording of face-to-face scenes ■ Conversion to text through voice recognition ■ Compliance measures *For more details, please refer to the PDF document or feel free to contact us.

• Voice Recognition Software
• Other operation management software

In web conferences, it captures only the speaker's voice due to its super-directionality. In counter interactions, it picks up the voices of both the staff and the customers!

At Advanced Media, we offer the ultra-directional compact stand microphone "AmiVoice Front ST01," which specializes in voice recognition, as well as the microphone aggregation device "AmiVoice Front HUB01" equipped with 2-channel output functionality. In face-to-face sales, it can be used for recording and visualizing interactions, as well as for compliance measures. Additionally, it can be utilized in various scenarios such as face-to-face translation and meetings. 【Features】 <AmiVoice Front ST01> ■ Captures only the speaker's voice due to its ultra-directional design ■ Simple design that fits seamlessly on counters and tables ■ Compact and easily portable with a detachable base ■ Safe for use in medical settings (can be disinfected with methyl alcohol or sodium hypochlorite (1.2%)) *For more details, please refer to the PDF document or feel free to contact us.

• Voice Recognition Software
• Other operation management software

Although I have heard that verification efficiency at the RTL stage improves with verification methodologies using SystemVerilog such as UVM, many designers may not fully understand what can be done with SystemVerilog and how to use it. In this seminar, we will introduce the basic functions and usefulness of SystemVerilog verification using a sample design. 1. Design Overview 2. UART Test Environment 3. Assertions (SVA & PSL) 4. Functional Coverage 5. Random Test Bench 6. DPI-C

The RTCA/DO-254 guidance recommends that applicants define and implement HDL coding standards. This work begins with a planning process that includes the definition of the standard, how it will be implemented, and, if the process is automated, the evaluation methods for tools or results. A key issue is that the guidance does not have clearly defined formal standards, leading to questions about how to conduct a detailed review of HDL code. In this webinar, we will demonstrate the use of ALINT-PRO to enforce coding standards and highlight the benefits of streamlining the overall design review to meet the objectives of DO-254.

[Speaker] Takahiro Tachikawa, President of International University and Professor at the Graduate School of International Management [Key Lecture Content] In February of this year, the 7th Energy Basic Plan was approved by the Cabinet. What is the essence of this plan that the media and others do not convey? How will this plan impact the development and social implementation of hydrogen, ammonia, and next-generation fuels (synthetic methane, synthetic liquid fuels, green LP gas, etc.)? This lecture will delve into these points. In particular, it will focus on the content of the risk scenario, which is viewed as the main scenario among stakeholders in the energy industry, and the newly defined role of natural gas as an "important energy source even after achieving carbon neutrality." [Lecture Items] 1. The 7th Energy Basic Plan 2. Hydrogen 3. Ammonia 4. Synthetic Fuels 5. Risk Scenario 6. Natural Gas Shift 7. Q&A / Business Card Exchange

[Lecturer] Professor Shiro Kawabata, Faculty of Science and Technology, Hosei University [Key Lecture Content] Prime Minister Ishiba has positioned 2025 as the inaugural year for the industrialization of quantum technology and has indicated a policy to strengthen support for the industrialization of quantum technology. Additionally, at the G7 Summit held in Canada in June 2025, a joint statement titled "Joint Statement on the Future of Quantum Technology," focusing on quantum technology centered around quantum computers, was adopted. Quantum computers are computers that utilize principles of quantum mechanics, such as superposition and quantum entanglement, for information processing. By using quantum computers, it becomes possible to solve several mathematical problems, such as factorization, machine learning, quantum chemistry calculations, finance, and linear simultaneous equations, exponentially faster compared to classical computers. As a result, major global corporations and startups are globally expanding their development and business in quantum computer hardware and software. This seminar will introduce the basics of quantum computers, the latest research and development trends, business trends, technical challenges, and future prospects.

[Speaker] Shintaro Kobayashi, Group Manager, ICT and Content Industry Consulting Department, Nomura Research Institute, Ltd. [Key Lecture Content] The Personal Information Protection Law is undergoing fundamental changes to promote AI development. The Personal Information Protection Commission has proposed a shift towards a risk-based system where companies voluntarily address risks. A key feature of this new system is the establishment of a framework that allows the use of personal information for AI development without the need for individual consent. In this lecture, based on the policy of legal reform, we will carefully explain the points for advancing data utilization by leveraging the legal benefits of the new system, as well as how to establish privacy governance that should drive these efforts, incorporating specific initiatives and examples of solutions. [Lecture Items] 1. Trends in the amendment of the Personal Information Protection Law 2. Practical methods for utilizing personal information without individual consent 3. PETs for safely utilizing AI 4. Achieving governance efficiency and sophistication through AI 5. Q&A / Business card exchange