Recently, we had the pleasure of welcoming trainees from the National Institute for Defense Studies (NIDS) at our company! 🐟✨Sato and Ishii from our Defense and Intelligence Division took the stage to introduce the latest AI trends and our company's initiatives in the defense and intelligence sectors. There were many sharp questions from field experts, and we felt the weight of the responsibility.It was an extremely valuable time for us to think together about how AI can contribute to the nation's security going forward. [Translated from EN to English]
ENTERPRISE AI
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AI Enhances Supply Chain Traceability and Transparency
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Leverage #AI for Enhanced Traceability and Transparency in the #SupplyChain by @antgrasso #Logistics #MachineLearning #ArtificialIntelligence #ML #DL
→ View original post on X — @ronald_vanloon, 2026-04-11 10:56 UTC
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Healthcare Data Hackathon: AI Extraction Anonymization Competition
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Can your AI solution efficiently extract, verify and anonymise critical information from unstructured healthcare data? Join the Hackathon to refine your solution with support and guidance from the Central Drugs Standard Control Organisation (CDSCO). Winners receive a chance to
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AI-Powered Healthcare Claims Auto-Adjudication Hackathon
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The processing of claims in healthcare can be slow, complex, and inconsistent. But what if AI could change that? Join the AB PM-JAY #AutoAdjudicationHackathon and build solutions that bring faster, smarter and fairer systems. From NLP to computer vision, this hackathon
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Gen Z Workers Sabotage AI Implementation, Accelerating Their Own Replacement
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That's why it's so important that AI is properly adapted to the working world and that we build a new post-laboratory economy. Gen Z workers, driven by fear of job loss, are actively sabotaging company AI rollouts, ironically making themselves more likely to be replaced while AI “power users” get promoted and rewarded.
→ View original post on X — @kimmonismus, 2026-04-11 09:13 UTC
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AI-Powered Drug Discovery Pipeline: From Sentence to Full Analysis
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What if your next drug discovery pipeline started with one sentence, not 6 months of scripting?
— Ronald van Loon (@Ronald_vanLoon) 11 avril 2026
In this latest deep dive with @scispace, I saw a shift that feels bigger than incremental AI gains.
Upload single-cell data and get clustered cell types, UMAPs, marker annotations,… pic.twitter.com/91MIdlMKUwWhat if your next drug discovery pipeline started with one sentence, not 6 months of scripting? In this latest deep dive with @scispace, I saw a shift that feels bigger than incremental AI gains. Upload single-cell data and get clustered cell types, UMAPs, marker annotations, causal gene rankings, and ADMET analysis in one structured flow. This changes the operating model. Here’s the breakdown…
→ View original post on X — @ronald_vanloon, 2026-04-11 08:30 UTC
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NVIDIA GTC Showcases Physical AI Robotics Breakthroughs
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To celebrate #NationalRoboticsWeek, @NVIDIA GTC highlights. They're proving that the next era of physical AI has officially arrived—featuring autonomous humanoids mastering complex 3D navigation, highly precise surgical arms, and real-time conversational delivery bots. nitter.net/nvidia/status/20426500…
→ View original post on X — @haroldsinnott, 2026-04-11 07:21 UTC
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Vertical-Domain Agents Development Progresses Rapidly
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Progress is very fast; from my experience, the development of vertical-domain Agents feels several levels higher than last year.
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GridGain In-Memory Computing Platform for Big Data and AI
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GridGain! #InMemoryComputing Platform! @gridgain #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode lnkd.in/gVc3JBsE
→ View original post on X — @gp_pulipaka, 2026-04-11 04:57 UTC
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LLMs Enable Precision Multi-Robot Industrial Task Coordination
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Can LLMs conquer the precision and complexity of industrial multi-robot tasks? Researchers from Shenzhen University, SpeedBot Robotics, Carleton University, and the Chinese Academy of Sciences present IMR-LLM! They combined LLMs with smart graph structures for efficient