Shionogi Wins NEDO Award for Quantum-Assisted Drug Discovery

thequantuminsider.com Oct 29, 2026

Shionogi Wins NEDO Award for Quantum-Assisted Drug Discovery

Curated by Shubham · TechCapsules · Oct 29, 2026

AI-summarised brief · reviewed before publication

Shionogi & Co., a Japanese pharmaceutical firm, won first place in the Quality of Life category of the NEDO Challenge for its quantum‑assisted drug‑discovery research conducted with D‑Wave. A peer‑reviewed study in Scientific Reports (July 2026) showed that a generative AI model integrated with D‑Wave’s annealing quantum computer produced chemically valid molecular representations 97 % of the time, versus 73 % for a comparable classical model, and yielded a higher share of molecules with strong drug‑likeness scores. The ¥40 million prize will fund continued work that blends quantum annealing with classical high‑performance computing to design and evaluate candidate compounds. Researchers say the approach could streamline early‑stage molecule design, potentially shortening the path to new medicines and accelerate clinical testing timelines for future therapies globally.

💡 Why It Matters

· By proving quantum annealing can lift AI‑generated molecules to near‑clinical relevance, the work offers a concrete shortcut for pharma pipelines that traditionally stall on low‑quality designs.

AI Biotechnology Capsules Quantum Computing

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2026 Robotics Handbook looks at humanoids, AI, and design choices

The Robot Report’s 2026 Robotics Handbook compiles the year’s most significant trends in commercial robotics, highlighting rapid advances driven by hardware scaling and artificial intelligence. Labor shortages and growing market awareness are spurring higher global and U.S. robot orders, according to the International Federation of Robotics and the Association for Advancing Automation. The free handbook examines engineering challenges, component selections, and emerging market opportunities, with special focus on humanoid development, dexterous manipulation, and construction automation. It details collaborations such as Jabil with Apptronik, Boston Dynamics’ Atlas end‑effector strategy, and Monumental’s bricklaying trials. AI breakthroughs—including large language models, vision‑language‑action systems, and world models—are making robots more autonomous, user‑friendly, and safe, while raising data, cybersecurity, and sovereignty concerns for industry stakeholders worldwide today.

💡 The handbook reveals how AI‑driven autonomy is turning robots from niche tools into viable solutions for critical labor gaps.

techcrunch.com · Oct 29

Agent identity startup Mintive lands Cowboy Ventures, Coatue, angels Jeff Dean, Andrej…

Mintive, an agent‑management startup founded by former Coursera engineer Jiquan Ngiam and TensorFlow co‑creator Vijay Vasudevan, secured $11 million in funding, including a $7 million seed round led by Cowboy Ventures. Investors also include Coatue, Operator Collective, Hustle Fund, and angels such as Jeff Dean and Andrej Karpathy. The company offers an MCP gateway, LLM gateway, and agent monitor to simplify enterprise AI agent deployment, claiming rapid, button‑click setup. Since launch, it has attracted over 50 enterprise customers, including Coursera and Stability AI.

💡 By streamlining agent governance, Mintive addresses a critical gap in AI infrastructure, enabling enterprises to deploy complex agents without deep technical overhead. Its modest funding approach signals a shift toward lean, purpose‑driven scaling in the AI startup ecosystem.

9to5mac.com · Oct 29

Strava adds Google Gemini integration with personalized workout insights

Strava has extended its AI integration suite by linking its fitness platform with Google Gemini, enabling subscribers to receive personalized workout insights through natural‑language queries. The move follows a prior partnership with Anthropic’s Claude via the Model Context Protocol, which allowed users to analyze training data through AI conversations. The new Gemini integration is read‑only, optional, and initially limited to U.S. users, but it is available to all Strava subscribers regardless of their Gemini subscription level. The feature lets users ask Gemini contextual questions about past activities, with Strava handling data access securely.

💡 By opening its data to Gemini, Strava positions itself at the forefront of AI‑driven fitness analytics, offering a richer, conversational experience that could set a new standard for personalized training insights.

androidcentral.com · Oct 29

‘Immersive Explorations’ in Gemini is a visual adventure for traversing stellar topics

Google unveiled “Immersive Explorations” in its Gemini platform, a visual learning tool that lets students dissect subjects layer by layer. The feature, added to Gemini’s student hub, offers interactive, image‑based lessons on topics such as quasars, dinosaurs, plant molecular structure, and lightning physics. Users can click through visuals to access deeper details, with explanatory text accompanying each layer. The library is currently available in English, Indonesian, Hindi, Brazilian Portuguese, French, and simplified Chinese, with other languages to follow.

💡 By turning dense academic content into interactive visuals, Google lowers barriers to complex concepts, potentially reshaping how educators deliver STEM curricula.

thequantuminsider.com · Oct 29

Lumen Announces AI Networking, Quantum Research and PQC Plans

Lumen Technologies announced three initiatives aimed at extending its network into AI energy management, quantum connectivity, and post‑quantum security. Partnering with Emerald AI, Lumen will pilot a system that routes AI inference workloads to edge sites based on real‑time power availability, cost, latency, security and network performance, turning the network into an active energy‑aware orchestrator. The company is also funding research with The Ohio State University to explore long‑distance quantum networking and distributed sensing over its fiber infrastructure. In parallel, Lumen plans to embed Fortinet‑based post‑quantum cryptography into its Secure Access Service Edge (SASE) platform, with a limited release slated for November 2026 and full availability in January 2027. These moves target the growing power constraints of AI, the future demand for quantum‑grade links, and the looming threat of quantum‑capable attacks.

💡 By making the network a dynamic energy‑balancing layer, Lumen gives enterprises a tool to keep AI scaling affordable while pre‑positioning quantum‑ready and quantum‑resistant services ahead of the next wave of computing threats.

linkedin.com · Oct 29

Just wrapped our earnings call. It was a fast start to our…

Microsoft reported that its cloud segment generated over $63 billion in revenue for the fiscal year, marking a 30 percent year‑over‑year increase. The earnings call highlighted accelerated growth driven by AI‑focused services, including the Foundry platform, which saw a five‑fold rise in customers deploying multiple models. Executives emphasized a shift toward “intelligence per task,” aiming to improve cost efficiency and performance across heterogeneous AI workloads. The company also outlined plans to build a new technology stack designed for the emerging “agentic wave,” positioning its infrastructure to support increasingly autonomous AI agents. The call underscored Microsoft’s strategy of coupling rapid revenue expansion with deeper AI integration to sustain its cloud leadership.

💡 By tying cloud growth to AI task efficiency, Microsoft is turning cost‑per‑task metrics into a competitive moat, forcing rivals to match its blend of scale and intelligent resource allocation.