Deep Learning: Changing the Game for Problem Solving

Amidst the “machine-learning revolution,” information processing plays a crucial role in transforming products and services to shape a better world. In recent years, machine learning has not only accelerated how technology impacts consumers, it has also created profound solutions for society-wide problems. Leading tech companies such as Google are heavily invested in artificial intelligence (AI) with teams dedicated to research and development of computing systems, which involves understanding of data science, modeling, and distributed computation techniques.

On July 6, AmCham Taipei’s Technology Committee hosted a luncheon presentation at the Shangri-La’s Far Eastern Plaza Hotel by Ed Chi, Principal Scientist and Research Lead at Google AI, on the subject of “How Advances in Deep Learning are Changing How We Solve Problems.”

From left to right: AmCham Taipei Governor Anita Chen, Head of Public Policy and Government Affairs, Google Taiwan; AmCham President William Foreman; AmCham’s Technology Committee Co-Chair, Hans Huang, Vice President, Corning Display Technologies Taiwan; Speaker Ed Chi, Principal Scientist and Research Lead, Google AI; and AmCham’s Governor and Technology Committee Co-Chair, Revital Golan, CEO, Anemone Ventures.

Chi cited a few examples of machine-learning applications that are transforming industries and how we live:

• Improving traffic and transportation conditions by enabling Google’s self-driving cars to “see” with a 3% error rate.
• Preventing diseases through early intervention using automated analysis of retinal imaging.
• Improving healthcare services by using medical records to make predictions about patients’ health and identify risks.
• Aiding the design of new medicines by using neural simulation to understand how molecules interact with one another.
• Enabling better communication by utilizing neural machine translation to learn over time how to produce real-time voice translations that sound more natural and human-like.

In closing, Chi highlighted that Taiwan’s robust semiconductor supply chain industry will be critical in the machine-learning revolution. With its cutting-edge technology and rich history in semiconductor manufacturing, Taiwan is well positioned to take the lead in fostering advancements in machine learning and growing trends in AI, he said.

Interested in attending our events? Join us at other upcoming events, click here.

Note: AmCham events are intended primarily for AmCham members and their guests. Many events are open to members’ guests and other non-members, but the attendance of any non-member must be approved in advance. AmCham reserves the right not to admit a non-member to any event without explanation.