Inception Startup Sessions
17 sessions
March 2022
Startups face a number of unique challenges, but selecting technology doesn't have to be one of them. Whether building, launching, or scaling your product to meet demand, NVIDIA has technologies to accelerate your startup journey. In this evergreen overview, we'll cover key frameworks and services …
March 2022
Obtaining datasets that meet the demands of state-of-the-art machine learning and deep learning applications — such as sufficiently large, high-quality, representative, labeled, and compliant — is a ubiquitous challenge for companies large and small across industries. We'll explore how NVIDIA …
March 2022
Technology is critical in addressing climate change, and it's no surprise that startups play a unique role. Given that nearly every human activity contributes to our carbon footprint, from how we grow our food to our transportation and our energy grid, there will be no single solution to this complex …
March 2022
Hear from NVIDIA experts, investors, and groundbreaking startups from the Inception program on how the metaverse is shaping startups and venture capital and new developments with NVIDIA Omniverse.
March 2022
Thousands of startups have joined the NVIDIA Inception program over the years and have received numerous benefits that helped them get to market faster, expand their reach, grow their technical expertise, and ultimately scale their business. Hear from a variety of tech startups that can share …
March 2022
Experts from NVIDIA, startups, and venture capital firms take a deep dive into the rise and effect of quantum computing in opportunities for the VC and startup community.
March 2022
Hear a panel of leading lights from our Inception startup program that are implementing innovative solutions based on the Omniverse platform. We’ll get an understanding how Omniverse helped accelerate time to market, scale solutions. From world scale accurate searchable digital 3d map of the…
March 2022
Among AI technologies that have recently been in the spotlight, digital human services based on interactive conversational AI are widely used in fields such as retail, finance, education, and media. At a time when digital human non-face-to-face services have become commonplace due to COVID-19, we'…
March 2022
Drone operations have spurred innovation in the global aviation industry. In Kenya, NVIDIA Inception member Swift Lab designs, manufactures, and develops drones for humanitarian causes. The lab is partnering with the Postal Corporation of Kenya to roll out drone-based last-mile delivery services …
March 2022
Greenhouse gases (GHG), including water vapor, carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), and ozone (O3), are the primary drivers of climate change. The Intergovernmental Panel on Climate Change report, released in August 2021, assessed the scientific basis, impacts, and risk of …
March 2022
When humans see segmentations — that is, when we get to see the segmentation mask, or some visual effect on top of it — we're actually much more sensitive to temporal consistency than to accuracy (beyond a certain threshold). I'll explain how we approach this problem — in data creation, …
March 2022
AI technology is growing exponentially and affecting every sector and livelihood. As Africa is home to the youngest and fastest-growing population, capacity development paves the road to AI democratization. AI research is fundamental to capacity building. In Africa, we've been fostering …
March 2022
Human intelligence has always found ways to connect machines with nature and humanity. As we begin to harness the power of artificial intelligence, machine learning, and data science in our everyday lives, we also raise complex ethical and social questions associated with bias, fairness, and …
March 2022
Around the world, developers, researchers, startups, enterprises are coming together to drive the AI future through collective community efforts. Along with the capacity building, professional networking, and career development, AI communities deliver other unique values. For example, crowdsourcing in …
March 2022
As a machine learning (ML) practitioner, have you ever built an amazing model but couldn’t reproduce it for a colleague? Maybe you've questioned why your model is making strange predictions downstream? Is it difficult to explain to others the impact of what you’re doing? In traditional …
March 2022
If there are biases in the real world, they're often magnified in the virtual world. These same challenges apply to training machine learning (ML) models that increasingly control critical decisions in our lives such as whether we get hired for a job, or in ML algorithms to detect heart disease. We’ll run a …
March 2022
The current machine learning application development process is broken. Teams spend months, if not years, just collecting labeled training data. Then, they focus solely on iterating on the models, which has diminishing returns on model performance. Iterating on the data itself is the arbiter of success or…