An exciting frontier in Cognitive AI involves building systems that can integrate multiple modalities and synthesize the meaning of language, images, video, audio and structured knowledge sources such as relation graphs. Adaptive applications like conversational AI; video and image search using language; autonomous robots and drones; and AI multimodal assistants will require systems that can interact with the world using all available modalities and respond appropriately within specific contexts. In this blog, we will introduce the concept of multimodal learning along with some of its main use cases, and discuss the progress made at Intel Labs towards creating of robust multimodal reasoning systems. Read More
Daily Archives: September 9, 2022
America Could Lose the Tech Contest With China
The United States is in the midst of a high-stakes competition with China for dominance in the next wave of technological innovation. Despite a flurry of activity at the federal level over the past three years, Washington has for the most part been playing catch-up.
This summer, with the CHIPS and Science Act, the U.S. government committed to provide the semiconductor chip industry with more than $50 billion in federal investment over the next five years. But that was only after a supply-chain crisis had roiled the U.S. economy for two years as a result of the COVID-19 pandemic, and after the Pentagon had warned that it had become dependent on East Asian suppliers for 98 percent of the commercial chips it uses.
In 2019, the United States ramped up a diplomatic campaign to thwart China’s bid to dominate the world’s 5G infrastructure. But that was only after the massively state-subsidized Chinese companies Huawei and ZTE undercut major Western competitors, seemingly cemented positions in the communications networks of U.S. allies, and flooded the zone in standard-setting bodies.
And last year, the National Security Commission on Artificial Intelligence (on which both of us served) delivered its final report, calling for a comprehensive approach to sustaining U.S. leadership in education, research, and applications in AI that would mean an infusion of millions in new federal investment and a sustained government focus. But that report came out four years after China had already launched its national strategy on artificial intelligence, which generated billions in new funding, identified national-champion companies, and integrated AI into Beijing’s military-civil fusion strategy.
This reactive approach is hardly a recipe for future success. The United States needs to win on these tech battlegrounds and make sure it is not caught by surprise again. Read More