フレキシブル振動フィーダー

feeding equipment for small metal shee

エプソン6軸ロボット

ユニバーサルアセンブリシステム

CNC Lathe Automatic LoadingUnloading System

6 – Axis Robotic Spring Pick – and – Place System

Redesign Internal Docs for AI: Unlock 30% Automation by 2030

Every company has a hidden engine: its internal documentation. It’s where processes are recorded, knowledge is stored, and workflows are mapped—yet for most organizations, this engine is sputtering. Today, as AI reshapes how work gets done, those sprawling PDFs, inconsistently formatted notes, and jargon-heavy manuals aren’t just disorganized. They’re a bottleneck. AI thrives on structure, but most internal docs were built for human eyes alone, leaving AI stuck parsing chaos instead of automating tasks. This is why executives like DX CTO Laura Tacho are sounding the alarm: To unlock AI’s full potential, we need to redesign internal documentation—for AI. The payoff? Analysts predict up to 30% of work could be […]

Automating From Above: Why Vertical Robotics Is No Longer Optional

Manufacturers worldwide are stuck in a paradox: they need to produce more, but they can’t expand their facilities; they need to speed up operations, but skilled workers are scarce; they need to cut costs, but traditional automation is already maxing out floor space. For years, the answer was to squeeze more out of the factory floor—adding conveyors, AGVs, and robots until every inch was occupied. But today, that approach has hit a wall. The real breakthrough isn’t in expanding outward, but in elevating upward: vertical robotics, which operates from ceilings and overhead spaces, is no longer a futuristic idea. It’s the only viable way to solve the space, labor, and […]

Humana slashes engineering hours with network automation overhaul

For large healthcare organizations like Humana, network infrastructure is the backbone of operations—supporting everything from member data management to claims processing. But just a few years ago, Humana’s network management was stuck in a maze: critical data was scattered across spreadsheets, third-party tools, and disconnected databases; engineers spent weeks or even months building one-off scripts; and no one had a clear view of how these tools or workflows actually worked. This fragmentation wasn’t just inefficient—it was a bottleneck, draining engineering hours on manual tasks and slowing down the ability to adapt to new needs. To break free, Humana turned to a bold solution: a full overhaul of its network automation […]

Potential Harms Caused by AI Hallucinations and How to Avoid Them

In the medical field, “accuracy” has never been a choice—it is a lifeline. When doctors rely on diagnostic recommendations generated by AI, or nurses refer to medical record information summarized by AI, even the slightest deviation may affect patients’ health and even their lives. However, current artificial intelligence, especially Large Language Models (LLMs), has a hidden yet fatal risk: “hallucination”—when a model cannot find an accurate answer, it will fabricate content that seems reasonable but is completely wrong. Such “confident errors” may be just a minor inconvenience in daily scenarios, but in the medical field, they could turn an “80% accuracy rate” into a “20% fatal risk”. “Even if these […]

Trump Administration Unveils Its Plan for Winning the AI Race

In the global race to lead the next wave of artificial intelligence innovation, nations are competing to set technological standards, secure economic advantages, and strengthen national security. On Wednesday, 23 July 2025, the Trump administration took a decisive step to claim that leadership role, unveiling a comprehensive strategy to position the U.S. at the forefront of AI development and deployment—one that blends policy reform, infrastructure investment, and diplomatic strategy to turn ambition into action. On Wednesday, 23 July 2025, the Trump administration reaffirmed its commitment to being at the forefront of innovation and deployment of artificial intelligence (AI). The first building block is the release of a “Winning the Race: […]

DOE Announces Site Selection for AI Data Center and Energy Infrastructure Development on Federal Lands

Artificial intelligence is reshaping industries, economies, and global competition—and its growth hinges on two critical pillars: powerful data centers and reliable, affordable energy. To secure U.S. leadership in this AI revolution, the U.S. Department of Energy (DOE) is taking a strategic step: leveraging federal lands to build the infrastructure that will power both advanced AI and the energy systems that support it. Today, DOE announced the next phase of this plan, selecting four key sites to advance cutting-edge AI data centers and energy generation projects in partnership with the private sector. The forthcoming solicitations will drive innovation in reliable energy technologies, contribute to lower energy costs, and strengthen American leadership […]