News & Events
Intel Acquired Habana Labs
Intel Corporation has announced that it has acquired Habana Labs, an Israel-based developer of programmable deep learning accelerators for the data center for approximately $2 billion. The combination strengthens Intel’s artificial intelligence (AI) portfolio and accelerates its efforts in the nascent, fast-growing AI silicon market, which Intel expects to be greater than $25 billion by 2024.
American Red Cross
Many regions around the globe that are susceptible to natural disasters are also missing critical maps for emergency response. Intel teamed up with the American Red Cross to build a deep learning algorithm that can significantly speed up mapping of these regions using satellite imagery.
Intel AI on AWS
United by a passion for delivering constant innovation, AWS and Intel have developed a variety of resources and technologies for high performance computing, big data, artificial intelligence and the Internet of Things.
You know that AI is maturing, but you also know that there are a thousand different ways to implement it. Which way you choose to move forward…
I often say I have the best job at Intel. I lead a group that tackles high-risk, high-reward problems with novel machine learning (ML) algorithms…
Huiying Medical has developed a medical imaging diagnostic solution powered by Intel AI technology that can help detect early stage COVID-19....
Improving Stroke Care with AI
Capital Health is using MaxQ AI’s medical diagnostics solution to help patients with stroke, traumatic brain injury, or other causes of a brain hemorrhage get the care they need.
Increasing Shipping Efficiency
Kongsberg Maritime is pioneering autonomous ships and using AI to support crews with navigation at sea.
Media & Entertainment
Fighting Distribution of Illegal Imagery
Vismarty uses AI optimizations and Intel technologies to accelerate detection and blocking of disallowed imagery online.
Solving Business Problems
AI is transforming industries by spotting financial fraud, identifying manufacturing errors, diagnosing heart disease, finding missing children, and optimizing crop yields.