Three of Applied Ventures’ investment companies are working tirelessly using materials engineering and imaging capabilities to develop innovations that can help the medical community detect, treat, curtail—and ultimately suppress—this viral pandemic.
Our latest in a series of blogs inspired by Applied Materials’ panel discussion at IEDM explores where and how data should be processed and stored to drive computing efficiency while curbing energy consumption.
Applied Materials moderated a thought-provoking panel discussion during IEDM which showed that while there is no single path to achieving continued improvements in chip performance, power and area-cost, the industry will be well-served to search for solutions together.
What’s clear from the panel discussion I recently moderated with Facebook, IBM, Intel, Stanford and TSMC is that the semiconductor design and manufacturing model is evolving and will look extremely different in the years ahead.
The AI Era is fueling an explosion of data, while Moore’s Law is no longer the predictable engine of progress that it once was. With opportunities and challenges of this magnitude, we need to open the strategic planning lens and decide where we want to be in 2029.
Leading technology CEOs and industry thought leaders from across the computing ecosystem convened in San Francisco earlier this week at the second AI Design Forum™ to discuss the future of computing—from materials to systems. What was made clear from the thought-provoking keynotes and many sideline discussions is that AI and Big Data create tremendous growth opportunities for the industry, but to realize their potential requires new levels of innovation.