Advancements In Technology

Shahed-136 MS001: a digital predator we weren’t ready for. In June 2025, a Shahed-136 MS001 drone was shot down over Sumy region. At first glance, it seemed ordinary — but inside was a glimpse into the future of aerial warfare. This isn’t just a modernized model. It’s a technological leap: artificial intelligence, thermal vision, hardened navigation, real-time telemetry, and swarm logic. This is no longer a munition carrier — it’s an autonomous combat platform that sees, analyzes, decides, and strikes without external commands. Shahed MS001 doesn’t carry coordinates — it thinks. It identifies targets, selects the highest-value one, adjusts its trajectory, and adapts to changes — even in the face of GPS jamming or target maneuvers. This is not a loitering munition. It is a digital predator. Most air defense systems are not prepared for this. Mass deployment of drones like MS001 isn’t just a threat — it’s a challenge to our entire doctrine of air defense. What was found inside the MS001: • Nvidia Jetson Orin — machine learning, video processing, object recognition • Thermal imager — operates at night and in low visibility • Nasir GPS with CRPA antenna — spoof-resistant navigation • FPGA chips — onboard adaptive logic • Radio modem — for telemetry and swarm communication MS001 operates in coordinated drone groups: adjusting paths, bypassing air defenses, persisting even under electronic warfare and partial loss of swarm members. Russia is already field-testing tomorrow’s combat AI. While we hold procurement rounds, they’re integrating tech into a single adaptive system. MS001 proves that wars aren’t won by budget — they’re won by integration. Since early 2024, Russia has shifted its strikes away from the front line to deep in the rear — energy, logistics, civilian infrastructure. In this campaign, Shaheds are not just tools — they are strategic actors. We are not only fighting Russia. We are fighting inertia. And if we don’t break it now — the next generation of drones will break it for us.

🇺🇦 Innovation Under Fire What’s happening off the coast of Ukraine should make every Western defence planner sit up. Ukrainian naval drones didn’t just adapt to a threat, they actually changed the behaviour of the enemy. Russian helicopters were once a critical counter to Ukraine’s maritime drones. They hunted them, disrupted them and controlled the battlespace. So Ukraine did something deceptively simple and strategically profound. They armed the drones with surface-to-air missiles. Result? Russian helicopters now avoid them entirely, recognising they’ve become easy targets. The so what? This isn’t about a new platform. It’s about innovation velocity beating legacy doctrine. Why this matters for future military strategy 👉 Drones are no longer disposable. These naval drones aren’t just ISR or kamikaze assets, they are multi-role, survivable, decision-shaping systems. Once a drone can credibly threaten manned aircraft, the cost-exchange ratio collapses in its favour. 👉 Behavioural deterrence beats attrition. Ukraine didn’t need to destroy every helicopter. It only needed to change Russian risk calculus. The real win wasn’t the kill, it was forcing the enemy to withdraw capability. 👉 Cross-domain convergence is the future. Sea platforms threatening air assets. Small systems dictating big-platform behaviour. This is the erosion of traditional domain boundaries, and it’s accelerating. 👉 Speed outperforms scale. This wasn’t a decade-long procurement programme. It was rapid iteration at the tactical edge, driven by operators, not committees. The side that learns fastest now wins first. 👉 Western militaries should be uncomfortable. If low-cost drones can deny helicopters today, what denies, • Amphibious landings tomorrow? • Carrier air operations next? • Littoral resupply routes in NATO theatres? Ukraine is stress-testing the future of warfare in real time, while much of the West is still debating requirements documents. This is innovation born of necessity, but it’s also a warning. The next military advantage won’t come from the biggest platforms or the longest programmes. It will come from, Fast thinkers, Fast builders and Fast learners. Those who ignore that lesson will find their helicopters and doctrines grounded. As ever, this isn’t doctrine, It’s a debate, and debate is how innovation starts. https://lnkd.in/eDBSstQ6 #Gwilly #DefenceInnovation #FutureWarfare #Drones #MilitaryStrategy #Ukraine #InnovationUnderFire

What's a key innovation driver in leading-edge logic and memory chips? 𝐈𝐭'𝐬 𝐭𝐡𝐞 𝐭𝐡𝐢𝐫𝐝 𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧. A bit of an explainer below, with spotlights on wafer bonding and backside power delivery. 🔎 For advanced logic chips, the third dimension is used to 𝐛𝐨𝐨𝐬𝐭 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 and to be able to 𝐬𝐭𝐚𝐜𝐤 𝐭𝐫𝐚𝐧𝐬𝐢𝐬𝐭𝐨𝐫𝐬. It started with FinFET transistors, taking planar transistors into the third dimension. This now extends into gate-all-around and nanosheet transistors, where chipmakers use 3D layers to boost performance, and into the next-gen "CFET" transistors, where chipmakers stack in order to scale. All of this is enabled by innovations such as 𝐁𝐚𝐜𝐤𝐬𝐢𝐝𝐞 𝐏𝐨𝐰𝐞𝐫 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲. More below! 👇 And for a little bit of transistor history and future, read Always Be Curious: https://lnkd.in/eQg3_gKF For memory, the evolution to 3D has also been going on for a while already. NAND memory has a super dense structure, so when real estate became scarce, chipmakers started to build up to further increase bit density. The industry is now mass producing 3D NAND with high 200-something layers, with a roadmap to more than 1,000 (!) layers by the end of this decade. In DRAM, the roadmap is also increasingly 3D-powered with vertical cells, followed by stacked layers of horizontal cell transistors and capacitors. A key enabler for some of these innovations is 𝐰𝐚𝐟𝐞𝐫 𝐛𝐨𝐧𝐝𝐢𝐧𝐠. In wafer bonding, the chip manufacturing process is split over multiple wafers that have to come together as one. An example: 3D NAND originally combined the logic circuitry and the layers of memory cells on a single wafer. To scale further, chipmakers are now splitting the manufacturing process: the logic circuits are made on one wafer, and the memory stack on another. The surfaces are covered in oxide insulation and pads that link up the chips’ interconnect layers. The bonding process then brings the logic wafer and the flipped-over memory wafer together as one, after which the memory wafer is ground down to the memory array and gets an additional interconnect layer. 🔎 𝐌𝐨𝐫𝐞 𝐛𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 𝐨𝐧 𝐛𝐚𝐜𝐤𝐬𝐢𝐝𝐞 𝐩𝐨𝐰𝐞𝐫 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐲 Today’s chips have power delivered from the top of the chip, which requires the power ‘lines’ to go through many layers of wiring to get to the transistors at the bottom of the stack. This means that precious chip real estate has to be used for power delivery, while power is lost as it travels through those many layers. Backside power delivery flips the script and routs power delivery from the bottom (or ‘backside’) of the chip, gaining more direct access to the transistors. In return, the ‘frontside’ real estate can be used to increase transistor density, while improving the overall power and performance of the chip. Image source: ASML's Investor Day, November 2024 #3dintegration #gaafet #cfet #transistors #3dnand #dram #nand

Intel Foundry Research Shows How New Bonding Technology Powers AI Chips with Precision : https://lnkd.in/eTVHXq5f Intel Foundry researchers have developed an innovative thermal control technology that addresses the difficulty of assembling increasingly larger package substrates that combine different types of processors, memory, and specialized chiplets into compact, high-performance systems essential for artificial intelligence (AI) workloads. Presented in a research paper at the IEEE Electronic Components and Technology Conference (ECTC 2025), Intel Foundry’s novel low thermal gradient thermal compression bonding (TCB) process overcomes the limitations of conventional chip assembly methods by dramatically reducing temperature differences during manufacturing, including die to substrate thermal expansion mismatch, fluxing activity, and yield challenges faced by conventional TCB processes. This new process helps reduce die and substrate warpage during the bonding process, enabling the precise connection of multiple chip components while maintaining high production yields and reliability. - Presented at ECTC, Intel Foundry's low thermal gradient thermal compression bonding technology enables the assembly of complex AI chips by reducing temperature differences during manufacturing, improving both production yields and chip reliability. - This innovative approach allows manufacturers to pack more computing power into smaller spaces by connecting different types of memory and processor chips with greater precision in advanced packages with larger form factors. - Capitalizing on this type of research, Intel Foundry offers innovative advanced packaging with EMIB for very large form factors. #semiconductor #manufacturing #technology #innovation #chips  #semiconductormanufacturing #advancedtechnology #engineering #lithography #nanometer #research #development #AI #EUV #DUV #mobileprocessors #semiconductorindustry #semiconductormarket

This year, India’s defense sector unveiled advancements in AI that are reshaping military strategies & boosting national security. Here’s what the data tells us: --> AI is now central to defense modernization. --> Collaboration across sectors is driving innovation. Let’s explore these in detail. 1️⃣ AI-Powered Technologies Transforming Defense India’s armed forces are deploying AI across critical areas: ➤ Autonomy in operations: AI-enabled systems like swarm drones & autonomous intercept boats enhance mission precision, reduce human risk, & improve tactical outcomes. ➤ Intelligence, Surveillance, & Reconnaissance (ISR): AI-based motion detection & target identification systems provide real-time alerts for better situational awareness along borders. ➤ Advanced robotics: Silent Sentry, a 3D-printed AI rail-mounted robot, supports automated perimeter security & intrusion detection. Example: Swarm drones use distributed AI algorithms for dynamic collision avoidance, target identification, & coordinated aerial maneuvers, providing versatility in both offensive & defensive tasks. 2️⃣ Collaboration as the Catalyst for Innovation India’s AI advancements are the result of partnerships between the government, private industries, & research institutions. ➤ Indigenous solutions: 100% indigenously developed systems like the Sapper Scout UGV for mine detection. ➤ Startups and SMEs: Innovative contributions from tech firms and startups have fueled projects like AI-enabled predictive maintenance for naval ships and drones. ➤ Global export potential: Systems like Project Drone Feed Analysis and maritime anomaly detection tools are export-ready, positioning India as a major global defense tech player. 3️⃣ The Data-Driven Case for AI ➤ Efficiency: AI-driven systems exponentially improve surveillance coverage and reduce operational time. For example, the Drone Feed Analysis system decreases mission costs while expanding surveillance areas. ➤ Safety: Predictive AI systems in vehicles and maritime platforms enhance safety by identifying potential risks before failures occur. ➤ Economic impact: AI-powered predictive maintenance for critical assets like naval ships and aircraft maximizes uptime while minimizing costs. Real Impact ➤ Swarm drones: Affordable, scalable, and capable of BVLOS operations, offering precision in combat. ➤ AI-enabled maritime systems: Detect anomalies in vessel traffic, securing trade routes and protecting economic interests. ➤ AI-driven mine detection: Enhances soldier safety while automating high-risk tasks. What does this mean for defense organizations? AI isn’t just modernizing defense; it’s placing it firmly in the global defense innovation market. With bold policies, dedicated budgets, and a growing ecosystem of public and private sector players, this will help lead the next wave of AI-driven defense technologies. But the question remains: How do we ensure these technologies are deployed ethically and responsibly? Agree?

The DoD just dropped its FY26 RDT&E budget—and it’s a $179B North Star for anyone building the future of national defense. Here’s what’s hot (and heavily funded): 🤖 Unmanned Systems & Physical AI – The budget is stacked with programs for launched effects, ground robotics, SUAS, TITAN, and AI-enabled C2. This is the golden hour for anyone working in cyber-physical systems, autonomous platforms, and real-world AI at the tactical edge. 🧠 AI/ML & Autonomy – From soldier lethality to ISR and C3I, embedded AI is showing up everywhere. Physical + digital fusion isn’t hype—it’s a requirement. 🚁 Future Vertical Lift & Next-Gen Combat Vehicles – Army and Navy are doubling down on transformational platforms, from long-range assault aircraft to hybrid-electric tracked systems. ⚔️ Hypersonics, Precision Fires & EW – Rapid, smart kill chains are in. Big money flows to hypersonic weapons, integrated fires, and resilient spectrum ops. 🧬 Biotech & Materials Science – Quietly accelerating: synthetic biology, survivability-enhancing materials, and warfighter performance R&D. Big implications for dual-use founders. 🛰️ Tactical Space & Multi-Domain Sensing – LEO, PNT, ISR nodes—space is tactical now, and the budget reflects it. 💻 Digital Pilots & Agile RDT&E – Software-defined everything. Over $1B in funding for digital pilot programs and agile prototyping. If you’re building fast, the DoD wants in. This isn’t just a spending plan—it’s a mission set for innovators. If you’re in unmanned systems, autonomy, biotech, robotics, or defense software… the signal is clear: let’s go. #DoDBudget #RDTandE #DefenseTech #UnmannedSystems #PhysicalAI #Robotics #Biotech #FutureVerticalLift #Hypersonics #DualUse #AgileRDTandE #ISR #GovTech #NationalSecurity

The best defense is a good (funding) offense. Investors, governments, and builders are all in on defense tech. In recent weeks, we saw major deals and announcements including Anduril's oversubscribed $2.5B Series G, Anthropic's release of defense-specific models, and Impulse Space's $300M Series C. 🚀 Defense tech is having a breakout year – on track for a record-breaking year with projected investor participation up 31% YoY to nearly 1,000 unique investors. This surge represents the highest level of investor interest ever recorded in the sector. The momentum is particularly striking given broader venture market headwinds, signaling that defense tech has become a must-have allocation for institutional portfolios. 💸 The investor base is diversifying beyond traditional defense-focused funds, with generalist VCs like a16z and 8VC developing specific theses in the sector. These investors bring Silicon Valley playbooks — rapid iteration, software scalability, and platform thinking — to an industry historically dominated by slow-moving defense primes. This cross-pollination is accelerating innovation cycles from years to months in critical areas like autonomous systems manufacturing. 🌏 Geopolitical tensions and the Ukraine conflict have validated the strategic importance of defense tech, driving both government and private capital allocation. Earnings call mentions of "defense" reached an all-time high in Q1 2025, while major tech companies and the hottest AI startups are forming consortiums to compete for DoD contracts. This mainstreaming of defense tech reduces reputational risk for investors and opens institutional capital pools previously unavailable to the sector. In chatting with Justin Fanelli (CTO, Department of Navy), it is clear that the increased investor and builder is fueled by the government's increasingly innovation-forward appetite. "Investors and founders who have backed this sector and mission have moved the needle for national security, even while we've been slow, reluctant buyers. We are now overhauling the way we buy at scale. We have shifted many buyer orgs from program offices to more flexible portfolios. This is one of several ways we're putting far more emphasis on impact and value. Innovation adoption and commercial-first pushes have already made us more adaptive and resilient. We want a wider base of high performers. What's better than competition to serve those who serve all Americans better? Recent AI and raise news shows there's more room to make bigger impacts. If we nail this, I think it's fair to expect impact and investment will continue to grow." Curious about the defense tech markets and companies seeing the most interest? Explore the data and insights for *free* in the comments.

12 March 2026: Here are the opening paragraphs of an article I co-authored with Isaac F., a very impressive American entrepreneur and software engineer who has spent the past four years helping the Ukrainian military build out its various software battle command platforms: "The era of autonomous warfare will not announce itself with robotic armies marching across battlefields. Instead, it is already emerging, quietly and inexorably, in the skies and fields of eastern Ukraine (and to a lesser degree in the Middle East), where missions are increasingly executed by machines at speeds no human can match and electronic warfare is severing the links between operators and their machines. Very soon, autonomous systems will no longer operate individually; over time, they will form platoon- or even battalion-sized units that share information and coordinate without human intervention. And the side that waits for human approval before acting will lose. This transition demands that militaries rethink not just the nature of command but the fundamental nature of war. The adaptation challenge goes beyond technological and industrial issues, although those aspects are enormously important. Already, Ukrainian engineers are rapidly developing software for autonomous navigation, and Ukrainian military technicians are now assembling first-person-view drones and other types in extraordinary numbers: some 3.5 million last year and a potential seven million this year, compared with 300,000 to 400,000 now assembled annually in the United States. The U.S. military will have to adapt much faster to manufacture drones in the enormous numbers required and to learn to employ autonomous systems effectively. But hardware and software will not be enough. It will be just as critical to develop new concepts and doctrine, adjust organizational structures, and institute the new kinds of military education and training that autonomous warfare will demand. These are all areas in which military institutions are often overly deliberate. But which militaries move first to change how they think about command and how the nature of war is evolving will determine which countries win the wars of the future." #autonomouswarfare #linkedintopvoices https://lnkd.in/em-m9s4j

The agricultural chemical industry, much like the broader chemical sector, is at the forefront of a seismic shift. We are no longer talking about incremental change, this is a wholesale transformation driven by technology and evolving market needs. In my journey within this sector, I’ve witnessed how digital tools are reshaping what’s possible, not just in terms of efficiency but in how we create value for our stakeholders and contribute to sustainability. The trends emerging today are redefining our future. Take precision agriculture, for example. The integration of IoT, AI, and GPS is empowering farmers with unprecedented precision. Real-time data from fields now guides decisions, ensuring that fertilizers and pesticides are applied exactly where and when they’re needed. The result? Less waste, better yields, and a step forward in sustainable farming. Generative AI and data analytics are accelerating innovation in ways we couldn’t have imagined a decade ago. Designing agrochemical formulations is no longer a slow, linear process, AI can now generate chemical structures with desired properties in record time. Meanwhile, predictive analytics are helping us stay ahead of pest outbreaks and optimize supply chains. Then there’s the rise of digital marketplaces, which are transforming how we connect with our customers. Farmers now have direct access to products, services, and expertise at their fingertips. It’s about more than convenience, it’s about building relationships and empowering communities. One of the most exciting developments is blockchain technology. Transparency and traceability are no longer aspirations; they are realities. By tracking products from farm to fork, we are enhancing food safety, building consumer trust, and strengthening the integrity of our supply chains. Automation and robotics are not just about efficiency, they’re about resilience. From material handling to predictive maintenance, these technologies are reducing downtime and ensuring we meet demand, even in the face of challenges. And we can’t overlook the power of digital twins. These virtual replicas of physical systems are giving us real-time insights into our operations, enabling better decision-making and fostering deeper collaboration with our partners and customers. The common thread in all these advancements is customer-centricity. The best technology is meaningless unless it solves real problems. By developing platforms that allow real-time feedback and communication, we’re not just selling products, we’re co-creating solutions with our customers. As I reflect on these shifts, one thing is clear: digital transformation is no longer optional. It’s an imperative for survival and growth in a competitive, resource-constrained world. The question I often ask myself is: How can we ensure that these advancements don’t just serve us today but leave a legacy for the generations to come? I’d love to hear your thoughts. #AgricultureInnovation

AI is transforming industries—but for frontline workers, it needs to leave the desk and enter the field.    Unlike desk-based employees, technicians, factory workers, and logistics teams can’t rely on keyboards and screens. They need hands-free, real-time support to do their jobs efficiently.   That’s where #XR + #AI comes in. Smart glasses and wearable devices are accelerating knowledge transfer, streamlining complex tasks, and reducing training bottlenecks—all without taking workers away from the job.   In this new report, my BCG X colleagues Tibor Mérey and Kristi Woolsey detail how businesses can successfully scale this technology. Like I’ve said before, the #future is more like Marvel’s J.A.R.V.I.S and less like RP1. It’s not about replacing workers—it’s about empowering them: https://lnkd.in/eR6n5Crf   #AI #XR #FutureofWork #DigitalTransformation #emergingtech #AR #VR #XR #BCG #OnDeviceAI #tech #frontiertech #GenAI #workershortage #newreport