Semiconductors, Data Centers & AI

Materials informatics represents the data revolution's impact on materials R&D. Data-centric approaches, including AI and machine learning, are transforming the way materials scientists and engineers work, getting materials to market faster and driving development in new directions. A range of strategic approaches have emerged, with leading players and commercialized materials developed via data-driven methods emerging.

Thursday 21 March 2024 - Materials Informatics: The Data Revolution and AI Boom come to Materials R&D - The latest commercial developments in the field, including the impact of new industry interest in the age of AI; Assessment of the different strategic approaches being adopted; The key technology pillars required for a MI approach; Industry pain points; Application case studies

The battle to secure communications is intensifying. Over the last twenty years hacking has grown into a lucrative enterprise. This global challenge is anticipated to worsen as the volume and value of data transmitted rises. The impact on society could be catastrophic, with the average cost of a data-breach already surpassing millions of dollars.

Advanced semiconductor packaging technologies like 2.5D and 3D hybrid bonding, along with emerging solutions like silicon photonics, are critical in optimizing system performance and fostering the next wave of AI and HPC chip innovation.

Apple's Vision Pro has recently grabbed all the headlines in the spatial computing world, following years of hype and rumors of Apple bringing a headset to market. The Vision Pro is thought to be merely the opening salvo of the tech giant's strategy, with see-through augmented reality (AR) devices expected to be the endgame.

Wednesday 14 February 2024 - Quantum Communication Technology: How Can Physics Protect Our Data Security? What is quantum communication technology and what is the state of the industry? What are the competing quantum random number generator technologies, how do they work and what are the opportunities and challenges? What is quantum key distribution, and how is it being used in quantum networks? How will the quantum communication market evolve both short, medium, and long term - and when are the key inflection points for commercial value creation?

Healthcare systems around the world are being put under increasing strain every year. Key challenges they face include overburdened medical staff and a steady rise in patients with chronic health conditions that require high levels of care.

Ross and Rachel's relationship in the TV series Friends was characterized by its on-again, off-again nature, with the inevitability that they end up together in the end. Tesla started its full self-driving hardware with radar in 2016, it began the break-up with radar in 2021, and radar was removed from production entirely in 2021.

Artificial Intelligence is transforming the world as we know it; from the success of DeepMind over Go world champion Lee Sedol in 2016 to the robust predictive abilities of OpenAI's ChatGPT, the complexity of AI training algorithms is growing at a startlingly fast pace, where the amount of compute necessary to run newly-developed training algorithms appears to be doubling roughly every four months.

Quantum communications technology seeks to improve data security, which is increasingly compromised in the modern world. The world is generating higher and higher volumes of data, with increasing concerns about its sensitivity.