Leveraging silicon photonics for scalable and sustainable AI hardware
The emergence of AI has profoundly transformed numerous industries. Driven by deep learning technology and Big Data, AI requires significant processing power for training its models. While the existing AI infrastructure relies on graphical processing units (GPUs), the substantial processing demands and energy expenses associated with its operation remain key challenges. Adopting a more efficient and sustainable AI infrastructure paves the way for advancing AI development in the future.
Artificial intelligence is reshaping our world – accelerating discovery, optimising systems, and unlocking new possibilities across every sector. But with its vast potential comes a shared responsibility. AI can be a powerful ally for transforming businesses and reducing cost. It can help organizations minimize carbon emissions, industries manage energy use,…
As artificial intelligence technologies become increasingly widespread, the growing demand for processing power and energy is emerging as a global challenge. Assistant professor Uğur Teğin from Koç University's Department of Electrical and Electronics Engineering has developed two new systems that use light itself, rather than conventional electronic circuitry, to perform…
Across the globe, financial institutions are rapidly modernizing to deliver secure, seamless payment experiences that meet the demands of digital-first consumers. Financial institutions face the challenge of enabling digital payments while simultaneously managing existing payment capabilities like checks. Although check usage is decreasing worldwide, in the US, checks remain the…