.png)
Element14 Launches TI AM437x Starter Kit for Industrial Design
Published2015.10.26 11:03Boasting speeds of up to 1 GHz , the platform shortens the product development process.
Online electronic components shopping mallTexas Instruments (TI) AM437x for Industrial , HMI , and Network Design Engineers at Element14ang="EN-US" style="line-height: 115%; mso-bidi-font-size: 10.0pt; mso-ascii-font-family: "Malgun Gothic"; mso-ascii-theme-font: minor-fareast; mso-hansi-font-family: "Malgun Gothic"; mso-hansi-theme-font: minor-fareast;"> Launches a starter kit .
AM437xThe starter kit is a low-cost development platform based on the ARM Cortex-A9 processor, providing a stable and affordable platform for the rapid evaluation of the Sitara™ ARM® Cortex®-A9 AM437x processor family (AM4376, AM4378) .
In addition, it is a product suitable for developing applications that require a user interface with many features, including a touchscreen interface and various connector options .
Powerful enough to drive a graphic display user interface, this starter kit supports a wide range of industrial communication protocols and interfaces such as dual Gigabit Ethernet , DDR3L, cameras , and capacitive touchscreen LCDs .
LCDHardware platforms with built-in screens and full functionality provide various onboard features that allow both beginners and experts to focus on features for product differentiation, such as advanced graphics and connectivity .
The AM437 starter kit, boasting speeds of up to 1 GHz , is a production-ready hardware and software platform that will shorten the product development process .
"Malgun Gothic"; mso-hansi-theme-font: minor-fareast;">
관련뉴스
TI, ‘60% 더 작은’ 독립형 USB 2.0 리드라이버 제품 출시
TI는 고속의 양방향 리드라이버인 TUSB211은 AEC-Q100 규격을 만족하며, 오토모티브 인포테인먼트 시스템의 USB 신호 무결성을 향상시키도록 설계된 독립형 USB 2.0 리드라이버 제품을 출시한다고 밝혔다(12일).
2015.10.12by
TI Launches Integrated AM57x Processor Family Running HLOS
TI는 확장성과 다양한 주변장치를 통합한 제품군인 Sitara™ AM57x 프로세서 제품군을 출시했다. Sitara 프로세서 플랫폼의 최고 성능 디바이스로, 고성능 프로세싱 및 HLOS(high-level operating system)를 실행하는 ARM® Cortex®-A15 코어를 포함한 고유의 이종 멀티코어 아키텍처를 통해 광범위한 임베디드 및 산업용 애플리케이션에 적합하도록 설계되었다.
2015.10.19by
The Problem with AI is Not Performance, but Trust
CEO Kang Min-seung emphasized at Snowflake's World Tour Seoul that generative AI has entered a phase where "trust" rather than accuracy becomes the key competitive advantage. As AI is applied to various tasks including consultation, risk management, and operational automation, incorrect data, erroneous responses, and bias are creating actual business risks. He pointed out that enterprises must build a trust layer above AI. To achieve this, accurate data management, semantic structuring, governance, and prompt security are essential. He explained that AI is not merely an automation tool but a technology that reorganizes the entire organization's workflows and decision-making systems. Snowflake provides a platform that supports this trust-based AI operation, emphasizing that enterprises should build "trustworthy AI" rather than "intelligent AI."
2026.08.28by 배종인 기자
The Decisive Factor for AI Agents in Finance: "Trustworthy Data Infrastructure"
The key to spreading AI agents in the financial sector is establishing a trustworthy data system. KB Kookmin Bank is operating over 100 AI agents by 2025 and is promoting expansion to 300. AI is automating repetitive tasks across various areas such as consultation, risk management, wealth management, and relationship management. However, if data quality, governance, and semantic structuring are insufficient, errors and risks increase. KB is building an AI-Ready organization through a multi-model strategy of GPT, Gemini, and Claude, as well as a Snowflake-based data system. The bank emphasized that AI has entered a phase where it restructures not just simple automation but the entire work process and decision-making system.
2026.08.28by 배종인 기자
Snowflake Presents Data Platform Roadmap for Agentic AI Era
Snowflake emphasized at the Seoul roundtable that the key to enterprise AI proliferation lies in "Agentic AI" and the integration of data and workflows. Bala Kasivisvanathan stated that AI is evolving beyond simple analytics to become the driver of task automation and operational optimization, and that organizations must strengthen their data quality, processes, and governance as prerequisites for this. CJ OliveNetworks introduced that it is currently expanding AI applications in logistics and operational automation. Snowflake stressed that companies need a strategic shift to connect AI adoption to tangible business impact.
2026.08.28by 배종인 기자
