May 20, 2025

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Axiado TCUs, Coursera AI Courses, Microsoft Edge APIs, AI in Trading and Manufacturing

Recent developments in the field of artificial intelligence (AI) have been making waves across various industries. Axiado Corporation has been at the forefront of AI security, partnering with GIGABYTE and Posiflex to demonstrate its Trusted Control/Compute Unit (TCU) technology, which provides silicon-level threat detection and preemptive security enforcement. The company has also launched its next-generation TCU, the AX3080, which combines TCU with memory and flash storage to enhance platform security. Meanwhile, online learning platforms such as Coursera are offering free courses for AI beginners, covering the basics of AI and its applications. Microsoft has also launched new APIs for its Edge browser, allowing developers to incorporate AI functionality into web apps. Additionally, AI is being used in various fields such as trading, research, and additive manufacturing, with companies like Novafms and AiBuild developing AI-based software tools. However, the use of AI in the workplace is also raising concerns about bias, transparency, and accountability, with employers needing to establish clear policies and procedures for its use. The regulatory landscape surrounding AI is also evolving, with the New Mexico Attorney General opposing federal restrictions on state laws related to AI.

Key Takeaways

  • Axiado Corporation has partnered with GIGABYTE and Posiflex to demonstrate its Trusted Control/Compute Unit (TCU) technology for AI security.
  • The company has launched its next-generation TCU, the AX3080, which combines TCU with memory and flash storage.
  • Online learning platforms such as Coursera are offering free courses for AI beginners.
  • Microsoft has launched new APIs for its Edge browser, allowing developers to incorporate AI functionality into web apps.
  • AI is being used in various fields such as trading, research, and additive manufacturing.
  • Companies like Novafms and AiBuild are developing AI-based software tools for trading and additive manufacturing.
  • The use of AI in the workplace is raising concerns about bias, transparency, and accountability.
  • Employers need to establish clear policies and procedures for the use of AI in the workplace.
  • The regulatory landscape surrounding AI is evolving, with the New Mexico Attorney General opposing federal restrictions on state laws related to AI.
  • AI chatbots are becoming increasingly popular, with potential implications for search engine marketing and online search.

Axiado and GIGABYTE demo AI security

Axiado Corporation and GIGABYTE are showcasing a demo of Axiado's Trusted Control/Compute Unit (TCU) and Dynamic Thermal Management on GIGABYTE's NVIDIA MGX-based servers at COMPUTEX 2025. The demo highlights silicon-level threat detection and preemptive security enforcement, alongside intelligent thermal optimization. This partnership aims to deliver scalable and resilient infrastructure for AI and hyperscale cloud workloads. Axiado's TCU combines a Baseboard Management Controller (BMC), Root of Trust (RoT), Trusted Platform Module (TPM), and AI-powered threat detection in a single chip. The demo will be featured at the GIGABYTE booth from May 20-23, 2025.

Axiado and Posiflex unveil AI control solution

Axiado Corporation and Posiflex Group have announced a partnership to demonstrate a new Baseboard Management Controller (BMC) solution with integrated AI capabilities. The joint solution, built on Intel's Birch Stream server platform, will be showcased at COMPUTEX 2025. This partnership brings together Axiado's Trusted Control/Compute Unit (TCU) technology with OpenBMC software and Posiflex's proprietary Remote Management System (RMS), delivering an AI-enhanced platform security and control solution for x86-based servers. The integration delivers hardware-anchored protection, energy savings, and thermal efficiency, optimized for edge and enterprise deployments.

Axiado launches AI-driven secure control solution

Axiado Corporation has announced the next-generation Trusted Control/Compute Unit (TCU), the Axiado AX3080, which combines Axiado's TCU with memory and flash storage. This integrated solution enhances platform security by eliminating potential attack surfaces, improving power efficiency, and reducing design complexity. The AX3080 is built for hyperscalers, AI data centers, and cloud platforms that require scalable, silicon-level security with reduced board complexity and lower total cost of ownership. Axiado also announced the SCM3080-MT, an AI Secure Management Card for Nvidia systems, which leverages the AX3080 TCU to enable silicon-level platform security and pre-emptive threat detection.

Free Coursera courses for AI beginners

Coursera is offering several free courses for beginners to learn about artificial intelligence (AI). The courses include 'AI For Everyone', 'Google AI Essentials', 'Introduction to Artificial Intelligence', and 'Introduction to Generative AI'. These courses cover the basics of AI, its applications, and its potential impact on various industries. They are designed to be accessible to individuals with little or no prior technical background. The courses are available on the Coursera platform and can be taken at any time.

Best free online AI courses

There are several free online courses available to learn about artificial intelligence (AI). Some of the best courses include IBM's Intro to AI series, Google's Introduction to Generative AI, and Microsoft's LinkedIn Learning course on AI and productivity. These courses cover the basics of AI, its applications, and its potential impact on various industries. They are designed to be accessible to individuals with little or no prior technical background. The courses are available on various online platforms and can be taken at any time.

Microsoft opens AI models to web apps

Microsoft is launching new APIs for its Edge browser, allowing developers to incorporate AI functionality into web apps using models built into Edge. The AI APIs give websites and Edge browser extensions access to Phi 4 mini, an AI model that excels at math problems. Microsoft plans to release a translator API to serve AI-powered language translations via Edge. The new AI APIs are available in the Edge Canary and Dev channels.

Devs can use Microsoft Edge for AI web apps

Microsoft is launching new APIs for its Edge browser, allowing developers to incorporate AI functionality into web apps using models built into Edge. The AI APIs give websites and Edge browser extensions access to Phi 4 mini, an AI model that excels at math problems. Microsoft plans to release a translator API to serve AI-powered language translations via Edge. The new AI APIs are available in the Edge Canary and Dev channels. This move suggests that Microsoft is keen to offer a competitor to Google Chrome's built-in AI.

AI chatbots and online search

AI chatbots are becoming increasingly popular, with ChatGPT being a notable example. While Google still dominates online search, AI chatbots are rising fast. A recent infographic highlights the growth of AI apps as discovery tools and their potential impact on search engine marketing. However, it's worth noting that Google itself is incorporating AI-based summaries into its search results, which could potentially give it an edge in the AI battle.

Using AI for deep research

AI can be a powerful tool for deep research, allowing users to conduct sophisticated investigations and analyze complex topics. There are several ways to use AI for deep research, including crafting custom itineraries, compiling organization reports, researching notable people, exploring complex concepts, and analyzing debates and controversies. AI research tools can provide comprehensive information on complex topics and help users identify interesting possibilities and patterns. However, it's essential to approach AI-generated results with a critical eye and consider multiple sources before drawing conclusions.

Novafms launches AI-based trading system

Novafms Trading Center has launched an AI-based personalized trading recommendation system, aimed at improving decision-making and user engagement through real-time insights tailored to individual trading profiles. The system leverages machine learning models trained on user behavior, asset volatility, market cycles, and trading volume correlations. It delivers custom asset alerts, strategy suggestions, and portfolio adjustments based on real-time analytics and evolving user preferences. The system is available across both desktop and mobile versions of the platform and supports multiple languages.

Emerging AI issues in the workplace

The use of artificial intelligence (AI) in the workplace is becoming increasingly common, and employers need to be aware of the potential issues that can arise. These issues include the use of AI for decision-making, the potential for bias in AI systems, and the need for transparency and accountability in AI-driven decision-making. Employers also need to consider the regulatory landscape surrounding AI, including the patchwork of state and local laws that govern its use. To navigate these issues, employers should establish clear policies and procedures for the use of AI, provide training to employees on AI-related issues, and ensure that AI systems are designed and implemented in a way that is fair, transparent, and accountable.

AI meets additive manufacturing

Artificial intelligence (AI) is being increasingly used in additive manufacturing to optimize parameters for part quality and qualification, monitor and control 3D printing equipment, predict and prevent build failures, and detect defects in real-time. AI is also being used for design space exploration and generative design techniques, allowing engineers to create complex geometries and optimize designs for performance and manufacturability. Several companies, including AiBuild, Synera, and Vixiv, are developing AI-based software tools for additive manufacturing, which can help to improve the efficiency and accuracy of the design and manufacturing process.

NM AG opposes US House GOP AI restrictions

The New Mexico Attorney General (NM AG) is opposing efforts by the US House GOP to restrict state laws on artificial intelligence (AI). The NM AG believes that states should have the authority to regulate AI as they see fit, and that federal restrictions could hinder the development of AI technologies. The NM AG is joining other states in opposing the federal restrictions, which could have significant implications for the development and use of AI in various industries.

Sources

AI Artificial Intelligence Machine Learning Deep Research AI Chatbots AI Security