"Once a new technology rolls over you, if you're not part of the steamroller, you're part of the road." Some technologies fizz out over a period of time while some stay on the sidelines and then gain traction after startups, SMEs, and other MNCs fund it or integrate it in their operations. Regardless of changing trends, technology is inevitable. As time passes by, technology gets more and more advanced and pervades every facet of our lives from the way we live to the way we work. Driverless electric cars, AR and VR technology, and robot surgeons are some talk of the town technologies that have created a revolution that will grow for as long as humans continue to advance in their capabilities.
I feel that there was a sort of explosion a couple of years ago after which the whole topic of Artificial Intelligence (AI) suddenly sprang into a wider audience's consciousness. All of a sudden we had Siri, Amazon's Alexa and we started talking about self-driving cars. Jaan Tallinn, how did it happen? There were two different explosions. I believe that a lot of the latter had to do with the works of Elon Musk and Stephen Hawking. Most importantly, the former was the revolution of deep learning.
MIT today announced a new $1 billion commitment to address the global opportunities and challenges presented by the prevalence of computing and the rise of artificial intelligence (AI). The initiative marks the single largest investment in computing and AI by an American academic institution, and will help position the United States to lead the world in preparing for the rapid evolution of computing and AI. At the heart of this endeavor will be the new MIT Stephen A. Schwarzman College of Computing, made possible by a $350 million foundational gift from Mr. Schwarzman, the chairman, CEO and co-founder of Blackstone, a leading global asset manager. Headquartered in a signature new building on MIT's campus, the new MIT Schwarzman College of Computing will be an interdisciplinary hub for work in computer science, AI, data science, and related fields. With the MIT Schwarzman College of Computing's founding, MIT seeks to strengthen its position as a key international player in the responsible and ethical evolution of technologies that are poised to fundamentally transform society.
Innovations in computing and information technologies are transforming businesses at an unprecedented pace. The real estate sector will not be spared, and that's good news. Advances in artificial intelligence, analytics and blockchain will improve the real estate industry by achieving greater efficiencies and identifying and mitigating risks. While real estate will remain true to its traditional brick-and-mortar roots, the technological innovations will transform the way the sector operates. Consider blockchain, which offers great promise for transparency, data accuracy, and data aggregation.
Having worked in the cryptography space for over two decades, and having been an active participant in the cryptocurrency evolution since its inception, I take a deep interest in the subject. In particular, I believe that the intersection of artificial intelligence (AI) and blockchain is an exciting but challenging new development. Matt Turck recently discussed why the topic matters and highlighted interesting projects in the space, referring to AI (big data, data science, machine learning) and blockchain (decentralized infrastructure) as the defining technologies of the next decade. Evidently, the time is already ripe for these new concepts, despite them being novel and still underdeveloped. Currently, AI startups are being overwhelmingly acquired by companies such as IBM, Apple, Facebook, Amazon, Google, Intel and Alibaba, among others.
As one of the latest trends in the tech world, artificial intelligence (AI) is expanding into a variety of industries in new ways all the time. Companies are rushing to implement AI for many uses including high-frequency trading, monitoring social media presence, monitoring security, and autonomous vehicles. Private companies aren't alone in their pursuit of AI either; in recent news, the U.S. Pentagon announced its intentions to invest $2 billion into AI. But with all this interest in the emerging world of AI, one of the bottlenecks holding innovation in the industry back is the lack of affordable access to computing power. Computing power plays a major role for AI and is crucial to the continued development in the industry.
Blockchain and Artificial Intelligence (AI) are arguably two of the biggest drivers of technical innovation in our day. As with previous technological advancements, these two fields are quickly building upon their past achievements (and in an accelerating fashion). Both herald an unprecedented rate of technological development far beyond their fields -- and in the very near future as well. If you're reading this blog, you likely understand what blockchain technology entails. For those that don't, a brief explanation will suffice.
If you've used Google Maps, you've experienced artificial intelligence ( AI) firsthand. It's a prime example of how AI technology today enables computers to take on tasks formerly reserved solely for humans -- such as reading a map. In this case, Google uses historical and real-time data to visualize current traffic patterns and then applies AI to predict future traffic flow, with the objective to plot the quickest route to a destination. Three important trends have made recent advancements in AI possible: big data collection, reduced computing costs, and improvements in algorithms. Data these days are easy to collect and cheap to store, while the advent of cloud computing has made it much more affordable to crunch all that data.
At the kind invitation of Rob May and the Botchain team, I had the opportunity recently to keynote Brains and Chains, an interesting conference in New York exploring the intersection of artificial intelligence and blockchain. This is both an exciting and challenging topic, and the goal of my talk was to provide a broad introduction to kick things off, and frame the discussion for the rest of the day: discuss why the topic matters in the first place, and highlight the work of some interesting companies in the space. Below is the presentation, with some added commentary when relevant. Scroll to the very bottom for a SlideShare widget, if you'd like to flip through the slides. My firm FirstMark has been active in both AI and crypto/blockchain.
Kingsoft Corp. cloud's computing brand is the world's leading cloud computing service provider and China's Top 3 cloud computing company. Founded in 2012, it has established data centers and operations in Beijing, Shanghai, Chengdu, Guangzhou, Hong Kong and North America. At present, Kingsoft has reached a valuation of 2.373 billion US dollars, becoming the independent cloud service provider in China with the highest market capitalization. Kingsoft cloud products include cloud service solutions for side industries such as games, video, government, healthcare, and finance. Kingsoft has been conducting research and practical applications of artificial intelligence, launching the four layered IaaS, Paas, SaaS industry solutions, which are applicable to various combined AI solutions and services in various industries. In 2018, Kingsoft launched the blockchain ecosystem plan, "Project-X", making full use of the advantages of the cloud to promote the development and application of blockchain technology. Bottos is an infrastructure that focuses on artificial intelligence. It possesses both an underlying public chain designed specifically for data property and a data flow platform for the entire artificial intelligence and its derivatives. A consensus-based, scalable, easy-to-develop, and collaborative one-stop application platform for data, models, computing power and storage of multi layered shared services through data mining and smart contracts.