Japan's navy just put 45,000 personnel on SAP ERP for logistics. The US Army got there in 2018, Germany in 2011. Inside Japan's late arrival, its siloed legacy systems, and whether Fujitsu can deliver.
On May 27, Fujitsu announced partnerships with two US AI labs at once, Anthropic and OpenAI. We unpack what this dual strategy means versus NEC's single bet, the Forward Deployed Engineer model, and how Japanese IT giants differ from Microsoft-OpenAI and SoftBank.
Waseda University and Fujitsu used quantum circuit learning (QCL) to predict the hardness of high-entropy alloys from only about 100 data points. We explain how a quantum approach tackles the small-data extrapolation problem that defeats conventional machine learning, where it sits against IBM and Google quantum efforts, and what it could mean for industrial materials discovery.
Kawasaki Heavy Industries—maker of jets, bullet trains and motorcycles—has opened a physical AI development hub in Silicon Valley, teaming up with NVIDIA, Analog Devices, Microsoft and Fujitsu. We unpack why a 130-year-old industrial giant is betting on AI that acts in the real world, and where Japan stands in the US-China robotics race.
Fujitsu's new Kozuchi Physical OS isn't trying to build a smarter robot brain. It's trying to make the whole physical space intelligent. Here's how its edge-plus-sovereign-cloud design differs from NVIDIA Cosmos and Google DeepMind's Gemini Robotics — and how it fits into Japan's $126B Physical AI ambition.
Fujitsu is doubling down on its sovereign AI strategy with the FUJITSU-MONAKA CPU series, choosing Rapidus as a manufacturing partner and 'coexisting' with NVIDIA's GPUs rather than competing. We compare Japan's hybrid approach to China's fully autonomous Loongson (LoongArch) and Europe's Arm-based SiPearl, revealing how Japan's pragmatic balance defines a third path in global chip sovereignty.
How does Fujitsu's dual-band T2SL infrared sensor stack up against existing products? We break performance down into three axes, resolution, sensitivity, and wavelength, and go head-to-head with FLIR, Raytheon, L3Harris, Northrop Grumman, and Sweden's IRnova. Plus the commercial rollout roadmap from FY2026.
Japan's METI raises the subsidy cap for quantum technology business demonstrations to ¥2 billion ($13M) per project, a tenfold increase. With ¥15 billion earmarked for business applications out of a quantum budget exceeding ¥100 billion, Japan pushes to industrialize quantum computing in logistics, drug discovery, and beyond.
Fujitsu and Osaka University developed STAR Architecture ver. 3 and molecular model optimization to cut quantum computing resources to between 1/15 and 1/80 of conventional FTQC needs. Calculations for drug-critical Cytochrome P450 fall from 740,000 to 40,000 qubits and complete in 9 days. Comparison with IBM, Google, and IonQ's quantum drug discovery efforts included.
Fujitsu will develop a fully domestic AI semiconductor (NPU) using 1.4nm process technology, with manufacturing outsourced to Japan's national chipmaker Rapidus. Backed by Japan's Ministry of Economy, the move leverages supercomputer Fugaku's energy-efficient technology. We analyze Japan's semiconductor revival strategy vs. the US CHIPS Act, EU Chips Act, and Korea's K-Chips initiative.
Fujitsu has developed and delivered the world's first 1-megapixel dual-band T2SL infrared sensor to Japan's defense agency, detecting temperature differences below 0.05°C. The technology, how it compares with Teledyne FLIR and L3Harris, and where Japan's dual-use defense tech strategy actually stands.
Fujitsu begins domestic manufacturing of sovereign AI servers in March 2026 at its Ishikawa factory. With NVIDIA's latest GPUs and its own MONAKA processor, Japan reinforces digital sovereignty amid rising geopolitical AI infrastructure concerns.
Fujitsu successfully piloted its LLM "Takane" with a Japanese central government agency, automatically classifying and summarizing approximately 120,000 characters of public comment data in about 10 minutes. The company aims to launch a comprehensive generative AI service for policy formulation and legislation by FY2026.