Science And Technology Collaborations

Google DeepMind’s AI Co-Scientist paper was just released, and you should check it out! It represents a paradigm shift in scientific discovery, leveraging a multi-agent system built on Gemini 2.0 to autonomously generate, refine, and validate new research hypotheses. 🔹How does it work? Well the system uses a generate, debate, and evolve framework, where distinct agents called Generation, Reflection, Ranking, Evolution, Proximity, and Meta-Review, collaborate in an iterative hypothesis refinement loop. 🔹Some key innovations that pop out include an asynchronous task execution framework, which enables dynamic allocation of computational resources, and a tournament-based Elo ranking system that continuously optimizes hypothesis quality through simulated scientific debates. 🔹The agentic orchestration accelerates hypothesis validation for processes that take humans decades in some instance. For example empirical validation in biomedical applications, such as drug repurposing for acute myeloid leukemia (AML) and epigenetic target discovery for liver fibrosis, quickly helped researchers generate clinically relevant insights. What should we all get from this? 🔸Unlike traditional AI-assisted research tools, AI Co-Scientist doesn’t summarize existing knowledge but instead proposes experimentally testable, original hypotheses, fundamentally reshaping the research paradigm by acting as an intelligent collaborator that augments human scientific inquiry. Do take some time this Sunday to read! #genai #technology #artificialintelligence

IT giants like Tata Consultancy Services and Wipro are joining forces with academic institutions to build and innovate across emerging technologies, say reports. Tata Consultancy Services on Tuesday announced its partnership with the Indian Institute of Technology, Bombay (IIT-Bombay) to develop India's first Quantum Diamond Microchip Imager. This advanced sensing tool can improve precision in the examination of semiconductor chips, reduce chip failures, and improve the energy efficiency of electronic devices, the company said in a statement. Wipro also announced a partnership with The Centre for Brain Research at the Indian Institute of Science (IISc) this week. The collaboration aims to harness the power of AI, ML and big data analytics to develop technologies that can support the prevention and management of long-term health disorders, according to the company's statement. These aren't the only instances of industry-academia collaboration in the tech sector. businessline reports that NVIDIA has been collaborating with Indian Institute of Technology, Madras for computational brain research, while Indian Institute of Technology, Roorkee has signed an MoU with Engineers India Limited to boost research and innovation in green technologies, reports Hindustan Times. What's your take on the trend of IT and tech giants partnering with academic institutions? Share your take in the comments. Source: TCS: https://lnkd.in/djdczXbg Wipro: https://lnkd.in/gZWddGxJ businessline: https://lnkd.in/g_2yADwz Hindustan Times: https://lnkd.in/gxRUPQRK ✍ : Isha Chitnis 📸 : Getty Images

How to work with industry as an academic: Old way - Waiting for industry to approach you - Publishing research without industry relevance - Limited networking within academic circles - Minimal collaboration opportunities New way - Proactively reaching out to industry partners - Designing research with practical applications - Building strategic cross-sector relationships - Creating mutually beneficial collaboration frameworks Industry collaboration > Traditional academic isolation Throughout my academic journey, I've discovered that bridging the gap between research and real-world application isn't just possible. It’s essential. Academic research becomes truly impactful when it solves tangible industry challenges. The key is transforming your academic expertise into a valuable industry asset. This means understanding industry challenges, communicating practical implications of your research, and demonstrating how your work can drive innovation and solve complex problems. Have you successfully bridged academia and industry in your professional journey? What strategies worked best for you? #Science #ResearchImpact #Scientist #PhD #Postgraduate #Professor #Research #Collaboration

What happens if over 100 institutions of different sectors get together to solve the most pressing issues in data and #DigitalHealth? Intersectoral collaboration is at the core of WHO/Europe’s Strategic Partners’ Initiative (SPI-DDH), which has met regularly since June 2024. Its 4 working groups are focusing on: 📲 Digitalization & AI. This group is creating a case study repository that captures diverse experiences and insights related to using digital and AI tools for health across Europe to support faster learning and knowledge sharing. 🏡 Healthcare & prevention in the home. This group is developing a framework model and a collection of case studies. 🌍 Standards & interoperability. This group is working on a playbook to support decision-makers. 🧑🏻⚕️ Digital solutions for #MentalHealth. This group is exploring how digital tools can reduce the workload and improve the well-being of healthcare professionals. Which of these priorities resonate with you the most? Find out about our work so far in our latest progress report: https://lnkd.in/eprtChnn Learn more about the SPI-DDH: https://lnkd.in/e2wqPsBJ

Too many strategic alliances with Global System Integrators (GSIs) fail to deliver promised revenue. The #1 reason? They skip the basics — and then scale chaos. 👇 Here’s how to do it right. If you’re partnering with GSIs like Accenture, Capgemini, TCS, or Infosys, you already know they’re powerful growth channels — but only if your alliance is strategically designed, operationally aligned, and commercially activated. At Alliance Best Practice, we’ve studied over 800 high-tech alliances and found that commercial success with GSIs isn’t magic — it’s method. The most successful partnerships follow a repeatable pattern across three critical stages: 🔹 Initiation: Get the Foundation Right Secure real executive sponsorship (not lip service). Co-create a joint value proposition that solves real customer problems. Build a 12–24 month joint business plan with targets, priorities, and a shared “why now.” 🔹 Activation: Make It Real Launch field enablement with role-based playbooks, demos, and deal support. Identify 10–50 strategic accounts for joint pursuit. Share pipeline, assign pursuit leads, and celebrate early wins publicly. 🔹 Acceleration: Scale What Works Invest in repeatable, co-branded solution offerings. Launch joint marketing campaigns and track sourced/influenced revenue. Embed governance, metrics, and incentives that make the alliance sustainable. 💬 As one alliance leader told us: "If you can’t describe how the GSI makes money with you, they won’t put you in front of a client.” If you're building or rebooting a GSI alliance and want a proven roadmap — ✅ Read our latest article: Best Practices in GSI Alliances 📍 Now live on the Alliance Best Practice site: 🔗 https://lnkd.in/eJaHMXE #alliances #partnerships #GSI #channelstrategy #cosell #strategicalliances #growth #b2bpartnerships #alliancemanagement #hightech

Science commercialization is often framed as lab-to-market, but the real question is: who funds the “too applied for grants, too early for VC” zone? I've seen it firsthand: a chicken-and-egg problem where VCs want traction before they'll commit, and founders need capital to create the very traction investors demand. Too often, brilliant scientists with world-changing technologies get trapped here. How science founders can navigate this valley: 1. Build your funding stack based on alignment — Grants, philanthropy, corporate partnerships, and venture capital each comes with different north stars and risk tolerances. Understand how your science fits now and in the future and plan accordingly. 2. Approach expert funders — Seek out capital providers who deeply understand your space. They’re best positioned to see the potential and impact of your work before it’s consensus. 3. Stage-gate your milestones — Show a path where $X unlocks validation, $Y proves scale, and later capital accelerates commercialization. Make each milestone reduce one major risk for follow on funders. 4. Activate alternative capital — Donor-advised funds, venture philanthropy, mission-driven corporates, and government innovation programs can back early science that’s obvious to experts but not yet to markets. Use them to build incremental validation. 5. Design for optionality — Build multiple paths forward: non-profit arms for public good research, commercial spinouts for market applications, licensing deals for near-term revenue, and strategic partnerships for distribution. 6. Create urgency — Patent deadlines, grant reporting requirements, and pilot customer commitments can become forcing functions that accelerate decisions. Use them to your advantage in funding negotiations. What strategies have you used to bridge this valley? I'd love to hear examples that others can learn from, especially creative financing structures or unexpected funding sources that worked.

Exciting news for anyone who sends or receives money internationally! The Reserve Bank of India (RBI) has joined forces with Project Nexus, linking UPI with 4 ASEAN countries. The Bank for International Settlements – BIS and partners yesterday announced that they have completed the comprehensive blueprint for phase three of Project Nexus. India is joining the party with Phase four, which will see India's Reserve Bank and its Unified Payments Interface (UPI) - the world's largest instant payment system (IPS) - joining forces with Malaysia, Philippines, Singapore, and Thailand. Plus, Indonesia's keeping a close eye on things as a special observer. So, What's the big deal, you ask? Imagine sending money across borders as easily as you split a bill with friends. That's the future Project Nexus is building, and it's about to get a whole lot bigger! Curious about what this means for you, your business, and the future of cross-border payments? Let's break it down... What is Project Nexus? • Project Nexus is an initiative by the BIS Innovation Hub to create a standardized global network for connecting multiple domestic IPS across countries. This cross-border network could enable international payments to happen in second, making international transactions faster, more cost effective, efficient, seamless and promote transparency and safety across borders. • It seeks to standardize the way domestic IPS link in multiple countries via a blueprint Nexus provides. • To connect 60 IPS via Nexus would require 60 technical integration projects (one between each IPS and Nexus) compared with 1,770 bilateral initiatives. This reduces the work required by over 95%. Aim and Objectives The primary aim of Project Nexus is to create a unified network that allows instant payment systems from different countries to connect through a single, standardized interface. The inclusion of UPI represents a massive leap towards global financial integration. This expansion: • Increases the user base amplifying the potential reach and impact of Nexus • More countries joining means a more extensive network, leading to better global connectivity. • Central banks and IPS operators working together foster innovation and shared best practices. The Nexus Scheme Organisation (NSO) will be established to manage the Nexus scheme. The NSO will be owned by the central banks and/or IPS operators in participating countries, ensuring that the governance structure is aligned with the public interest and the goal of achieving instant cross-border payments at scale. This entity will be responsible for: • Governance • Standardization • Scalability Nexus is a big step towards a more interconnected financial world, backed by central banks for security and stability. It's an exciting time for finance professionals, businesses, and individuals alike as we move towards a more connected and efficient global economy. #FinTech #ProjectNexus #FastPaymentSystems #InstantPayments #CrossBorderPayments

Integrating sustainability across business functions 🌎 Sustainability integration requires more than a dedicated team or standalone strategy. It depends on aligning every core function of the business with measurable environmental, social, and governance (ESG) goals. Corporate Governance and Strategy sets the foundation. ESG oversight by leadership, formal integration of ESG risks, and alignment of corporate objectives with sustainability targets signal a shift toward long-term value creation. In Operations and Supply Chain, emissions reduction, renewable energy sourcing, and responsible procurement practices are essential levers for minimizing negative externalities and improving efficiency across the lifecycle. Finance and Capital Allocation plays a strategic role. Tools such as internal carbon pricing, sustainability-linked financing, and scenario-based risk analysis support capital flows toward lower-risk, higher-impact opportunities. Sustainable design principles in Product Development and Innovation enable circularity, resource efficiency, and faster deployment of low-impact products—while increasing competitiveness in regulated and conscious markets. Human Capital Management enables transformation from within. Capacity-building, inclusive practices, and engagement around sustainability contribute to culture change and improved performance. Marketing, Communications, and Stakeholder Engagement ensure that ESG progress is transparently communicated and substantiated. Verified claims and consistent messaging increase stakeholder trust and reduce reputational risk. Community Engagement and External Partnerships extend impact beyond operations. Collaborations aligned with the Sustainable Development Goals (SDGs) and outcomes measured through third-party validation drive shared value at scale. #sustainability #sustainable #business #esg

NEW: Google introduces AI co-scientist. It's a multi-agent AI system built with Gemini 2.0 to help accelerate scientific breakthroughs. 2025 is truly the year of multi-agents! Let's break it down: What's the goal of this AI co-scientist? It can serve as a "virtual scientific collaborator to help scientists generate novel hypotheses and research proposals, and to accelerate the clock speed of scientific and biomedical discoveries." How is it built? It uses a coalition of specialized agents inspired by the scientific method. It can generate, evaluate, and refine hypotheses. It also has self-improving capabilities. Collaboration and tools are key! Scientists can either propose ideas or provide feedback on outputs generated by the agentic system. Tools like web search and specialized AI models improve the quality of responses. Hierarchical Multi-Agent System AI co-scientist is built with a Supervisor agent that assigns tasks to specialized agents. Apparently, this architecture helps with scaling compute and iteratively improving scientific reasoning. Test-time Compute AI co-scientist leverages test-time compute scaling to iteratively reason, evolve, and improve outputs. Self-play, self-critique, and self-improvement are all important to generate and refine hypotheses and proposals. Performance? Self-improvement relies on the Elo auto-evaluation metric. On GPQA diamond questions, they found that "higher Elo ratings positively correlate with a higher probability of correct answers." More results: AI co-scientist outperforms other SoTA agentic and reasoning models for complex problems generated by domain experts. Performance increases with more time spent on reasoning, surpassing unassisted human experts. How about novelty? Experts assessed the AI co-scientist to have a higher potential for novelty and impact. It was even preferred over other models like OpenAI o1. Real-world experiments: "AI co-scientist proposed novel repurposing candidates for acute myeloid leukemia (AML)." There is more: "AI co-scientist identified epigenetic targets grounded in preclinical evidence with significant anti-fibrotic activity in human hepatic organoids..."

Universities spends $108 billion on research. But only 25-40% ever reaches the market. Universities are sitting on massive untapped potential. While traditional tech transfer has built critical infrastructure, there's a fundamental gap between laboratory proof-of-concept and market-ready applications. The emerging solution? University-attached venture studios. These systematic company creation platforms are demonstrating average net IRRs of 60% compared to 33% for top-quartile traditional VC. But the real value goes beyond returns. MIT Proto Ventures shows how this works: "We need a new, proactive model for research translation—one that breaks down silos and bridges deep technical talent with validated market needs." The results speak for themselves: Enhanced research impact through real-world application Universities build sustainable innovation infrastructure Students gain hands-on entrepreneurial experience Faculty research becomes more industry-relevant Early implementations at UNC's Eshelman Innovation, John Carroll's Blue Streak Ventures, and Arizona State's partnership with Idealab prove the model works across different institutional contexts. For university leadership, technology transfer professionals, and institutional investors: the question isn't whether venture studios represent superior research commercialization, but how quickly you can capture this opportunity. The institutions that act decisively will establish sustainable advantages that benefit their communities for generations. What's your university doing to bridge the innovation gap?