Senior fellow at the Gatestone Institute Gordon Chang joined'Cavuto Live' to discuss the U.S.'s relationship with China amid the highly anticipated G20 Summit. Emerging technologies like artificial intelligence (AI) should be used as "tools of opportunity, not as weapons of oppression," President Biden remarked recently. But this exhortation makes his subsequent vow to work directly with "our competitors" to harness the power of AI "for good" all the more curious. Working with our competitors, like China, would only empower the Chinese Communist Party (CCP) to write the rules of the road for AI. And we don't want China in the driver's seat.

Last month, the UK government announced the home for its new exascale supercomputer, designed to give the country an edge in the global artificial intelligence race. The £900 million ($1.1 billion) project would be built in Bristol, a city in the west of England famed for its industrial heritage, and the machine itself would be named after the legendary local engineer, Isambard Kingdom Brunel. The Brunel AI project should have been a big moment for another Bristolian export--Graphcore, one of the UK's only large-scale chipmakers specializing in designing hardware for AI. Valued at $2.5 billion after its last funding round in 2020, the company is trying to offer an alternative to the US giant Nvidia, which dominates the market. With AI fast becoming an issue of geopolitical as well as commercial importance, and countries--including the UK--spending hundreds of millions of dollars on building strategic reserves of chips and investing in massive supercomputers, companies like Graphcore should be poised to benefit.

Climate change is the planet's greatest challenge. The UN has already stated that 2021 is the final year for us to make real change in the fight against rising global temperatures. The UN organization is hosting the COP26 climate summit to address this dilemma of the century, where major players like Hitachi and BCG are involved as partners in this critical effort. Moreover, with Climate AI Champions in the picture, these innovators could provide the right solutions we need in the fight for survival and growth. The climate change crisis is real, finding quick and affordable solutions is an urgency, and AI can play a major role.

It was only a year ago that we convened in southern California for AIMed19 with over 600 of us in attendance, and not one of us would have predicted that it was to be the last such gathering for most of us for a long while. This year, in the spirit of celebrating artificial intelligence during the COVID-19 pandemic, we launched the AIMed AI Champions Awards in several categories during the week-long virtual sessions focused on the hot topics of this year of artificial intelligence in healthcare. The first topic of the week was Education of AI in Healthcare. This session had an inspiring gathering of clinicians at all levels of education of artificial intelligence. The winner of the AI Champion Rising Star award, Dr. Addison Gearhart, eloquently stated that she did not allow her lack of formal artificial intelligence education to be a deterrent in creatively using it as a resource for completing projects and building programs.

Artificial intelligence-powered use cases for climate action could help organisations meet up to 45% of the Economic Emission Intensity (EEI) targets of the Paris Agreement. New research from the Capgemini Research Institute has found that while AI offers many climate action use cases, only 13% of organisations are successfully combining climate vision with AI capabilities. AI use cases include improving energy efficiency, reducing dependence on fossil fuels and optimising processes to aid productivity. The research found that 67% of organisations have long-term business goals to tackle climate change. While many technologies address a specific outcome, such as carbon capture or renewable sources of energy, AI can accelerate organisations' climate action across sectors and value chains.

The potential positive impact of Artificial Intelligence (AI) is significant and organizations can expect to cut GHG emissions by 16% in the next three to five years through AI-driven climate action projects according to a research report by Capgemini Research Institute. Despite the considerable potential of AI for climate action, adoption remains low. More than eight in ten organizations spend less than 5% of climate change investment on AI and data tracking; 54% have fewer than 5% of employees with the skills to take up data and AI-driven roles; and more than a third (37%) of sustainability executives have decelerated their climate goals in light of COVID-19, with the highest deceleration in the energy and utilities industry. Only 13% of organizations have aligned their climate vision and strategy with their AI capabilities – these are who Capgemini defines as climate AI champions. Two-fifths of these come from Europe, followed by the Americas and APAC.

The AI solution for clamping systems in the automotive industry prevents expensive production line shutdowns due to clamp failure. Festo has been named an artificial intelligence (AI) champion for the company's project Intelligent Pneumatic Runtime Monitoring. The award was given during the inaugural Baden-Württemberg awards ceremony on August 11. Baden-Württemberg, Germany's third largest state, is one of the country's leading regions for AI development. Thousands of pneumatic clamping systems are used daily in the automotive industry for tasks such as holding individual parts in place during body-shop welding.

China steps up plans for using artificial intelligence to strengthen its military; Bill Hemmer reports. The President and the Pentagon are signaling that artificial intelligence (AI) is now a major priority for U.S. national security, and competition from China and Russia may be a key motivator. President Trump issued an executive order on Feb. 11 titled "Maintaining American Leadership in Artificial Intelligence." It's a directive that he says "will affect the missions of nearly all executive departments and agencies," and he didn't mince words on the significance of this quest. "Continued American leadership in AI is of paramount importance to maintaining the economic and national security of the United States," the executive order reads.

Artificial Intelligence and Machine Learning have become transformative to a number of industries, and as such many industries need for AI talent is increasing the demand for individuals with these skills. This continues to exacerbate the difficulty of acquiring and retaining talent for the United States Federal Government, both for its direct employees as well as the companies that support it. We take the position that by focusing on growing and retaining current talent through a number of cultural changes, the government can work to remediate this problem today.

The last time I met Tanmay Bakshi, the world's youngest IBM Watson programmer at 13, he was just a child prodigy. Our conversation in June last year, which resulted in this video that now has over 2,00,000 views on YouTube, was mostly about things that child prodigies are made of -- learning to code early, stardom, and so on. Nine months later, last Tuesday, I got on a call with Bakshi to record this episode of Outliers, and I was blown away. He still sounds the same -- one word tumbling upon another, yet each emphasised with great passion. This time though, he seems to have found a new life mission, and some serious new questions for himself to answer.