What if a classic fantasy video game could teach us how to shape the next generation of entrepreneurs? Fable isn’t just about heroes and quests—it’s about choice, consequence, and becoming someone through action. Those same ideas are at the heart of Baby Shark Tank, a startup bootcamp where 12-year-old students learn to turn ideas into reality, make decisions under pressure, and present boldly—just like founders in the real world.

In this talk, Andy Lombard, Founder and Managing Partner of Tesoro Venture Capital, shares a candid look at what it truly takes to scale AI and semiconductor startups. Drawing on decades of experience as a serial founder, investor, and former Motorola executive, he explains why deep-tech companies face fundamentally different challenges than software startups—and how global supply chains, capital strategy, and cross-border partnerships, especially between Silicon Valley and T

Hosted by Sparknify on behalf of the Taipei Computer Association, this high-energy gathering brought together 400+ founders, investors, accelerators, and deep-tech leaders to explore how Taiwan is emerging as a global launchpad for semiconductor and AI innovation. Featuring insights from top VCs, accelerators, and startup founders, the event showcased how capital, manufacturing, and ecosystem support converge to help startups scale from prototype to global impact.

As artificial intelligence saturates the headlines and dominates investment portfolios, the most forward-looking voices in tech and venture are already asking a deeper question: what comes after AI? This panel, filmed at Willow Workplace in Menlo Park as part of Taiwan Demo Day 2025, convenes three of the sharpest minds at the intersection of research, startup acceleration, and deep-tech foresight to unpack that very question.

AI is entering a new phase. The focus is no longer on models that talk or generate images, but on AI agents that plan, decide, and act inside real systems. These agents promise autonomy across industries, from software to manufacturing. Yet beneath the excitement lies a less discussed constraint that will determine whether AI agents become real infrastructure—or remain impressive demos.

Fetty Wap lost an eye as a child. Today, startups and Stanford scientists are rewriting what that loss could mean—and what the future of vision may become.

Many “AI-first” startups don’t fail because their models are weak—they fail when intelligence meets the physical world. Manufacturing constraints, reliability debt, and deployment realities quietly overwhelm promising demos, exposing blind spots that traditional investor diligence often misses. This article examines why models are not products, why execution determines survival, and how founders and investors can rethink risk before reality does it for them.

Most hardware startups make their first critical mistake with their first hire. By over-indexing on ML or firmware talent, early teams often overlook systems thinking, manufacturing reality, and long-term reliability. This article examines why early hardware teams become demo-optimized instead of product-ready, what the right first hires actually look like, and how founders can build teams capable of surviving real-world constraints—before costly mistakes are locked in.

In this episode of Silicon Valley Unplugged: Investing in Hard Tech, Nicolas Sauvage, President of TDK Ventures, joins host Jillian Sun for a candid conversation on what it really takes to build and fund deep-tech companies. From evaluating founders to scaling hardware, energy, AI, and climate technologies, this episode unpacks how breakthrough ideas move from the lab to real-world impact—and what separates promising demos from enduring companies.

Most hardware startups don’t fail because their ideas are wrong—they fail after the demo, when real-world constraints appear. Manufacturing assumptions collapse, suppliers misalign, thermal issues surface, and certification delays quietly drain runway. This article explores the “prototype trap,” where promising startups stall between proof and production, and explains how early engagement with Taiwan’s manufacturing ecosystem and programs like ICTGC can help founders turn fra

On Qingdao’s beaches, swimmers wear bright, full‑face hoods that hide everything but eyes, nose and mouth. The facekini began as practical jellyfish and sun protection, invented by accountant Zhang Shifan, but evolved into a symbol of Asia’s pale‑skin ideal and a surprising fashion statement. Today it ranges from plain UV shields to bold patterns and athletic balaclavas, showing how modesty and allure can swap places.

Toyota just revealed something that doesn’t look like a car at all: a round, electric “bubble pod” built for kids—and designed to drive itself with no adult onboard. Cute on the outside, but the implications are huge. If autonomy can safely move a child, what other passenger “purposes” are next—seniors, tourists, patients, students? Inside, an onboard AI companion talks to riders, gives instructions, and turns the trip into a guided experience.

Micro missile defense is emerging as one of the most consequential shifts in modern security strategy. As low-cost drones and mass-produced aerial threats reshape the battlefield, investors are backing startups that prioritize scale, affordability, and rapid deployment over traditional, high-priced interceptors. A new generation of companies is redefining air defense by changing the economics of interception—proving that in today’s conflicts, winning is as much about math and

Edge AI is becoming the next major frontier as companies shift intelligence from the cloud into devices, robots, vehicles, and sensors. Rising cloud costs, strict latency demands, and increasing privacy regulations are driving this transition. For startups, the opportunity is huge—but success requires mastering hardware constraints, co-designing systems, and partnering with the right manufacturing ecosystem.

Silicon Valley is quietly shifting toward a new frontier: analog AI chips that bring intelligence out of the cloud and into everyday devices. For early-stage founders, the moment is thrilling and uncertain—demand is rising for real-time, low-power AI, but the old rules no longer apply. The teams that embrace local intelligence now will shape the next decade of hardware innovation.

Chip-adjacent startups are becoming the most fundable companies of 2026 as AI shifts from software to real-world deployment. With inference demand soaring and hardware offering deeper defensibility, investors are backing bold innovators like Groq, Etched.ai, Tenstorrent, and femtoAI. As this new AI gold rush accelerates, programs like ICTGC give founders a crucial edge in prototyping, manufacturing, and scaling globally.

In the fast-paced environment of Silicon Valley, having a “bias for action” is a defining cultural value that sets successful tech companies apart. This principle emphasizes quick decision-making, rapid execution, and a preference for testing ideas rather than waiting for perfect information. By prioritizing action over exhaustive analysis, companies can accelerate innovation, adapt to market changes, and outpace competitors. In industries characterized by rapid technological

Pallets move nearly every product we use, yet the system that carries them is slow and outdated. Traverse Aero is changing that with autonomous air transport designed to move pallets quickly, directly, and efficiently. In this Tech Talk, founder Scott Parker explains how airborne automation could transform global logistics. Watch the video to see the future of pallet transport take flight.

Across China’s industrial heartland, factory floors once crowded with workers are now lit by the cool glow of automation. Assembly lines hum in perfect sync, robotic arms dance in silence, and production runs 24 hours a day without human fatigue. It’s a glimpse of a near-future world where machines, not men, drive the rhythm of industry.

Silicon Valley’s long-held belief that software dominates innovation is shifting. As AI systems mature and demand physical embodiments to act in the real world, hardware is experiencing a major resurgence. Robotics, autonomous machines, and AI-native devices are rapidly rising, driven by changes in global supply chains, manufacturing economics, and evolving venture investment priorities.