人工智能(AI)是一個多學科的科學領域,其目標是創造智能機器。

我們相信人工智能將成為我們日益數字化、數據驅動的世界中技術進步的力量加速器。這是因為我們周圍的一切,從文化到消費產品,都是智慧的產物。

1. 有一批新創企業應用NLP研究最近的突破,在未來12個月將會有超過1億美元的投融資機會。

2.自動駕駛技術仍然主要處於研發階段。 2019年,沒有自動駕駛汽車公司的行駛里程超過1500萬英里,相當於加州一年1000名司機的行駛里程。

3.non-GAFAM Fortune 2000公司採用隱私保護ML技術來加強其數據安全性和用戶隱私策略。

4.高等教育機構建立專門的人工智慧大學學位。

5.谷歌在量子計算硬件方面取得了重大突破,觸發了至少5家試圖進行量子機器學習的新創業公司。

6.隨著人工智慧系統變得越來越強大,人工智慧治理成為一個更大的話題,至少有一家主要的人工智慧公司對其治理模式進行重大改變。

在本報告中,我們著手捕捉人工智慧指數進展的過程,重點關注過去12個月的發展。此報告目的是觸發關於人工智慧狀態及其對未來的影響。

報告中考慮以下關鍵維度:

 – 研發:技術突破及其能力。

 – 人才:在該領域工作的人才的供應,需求和集中。

 – 行業:當今和未來人工智能驅動創新的大型平台,融資和應用領域。

 – 中國:這世界分成兩個截然不同的互聯網,我們將中國的AI視為自己的類別。

 – 政治:人工智能的公眾輿論,經濟影響和人工智慧的新興地緣政治。

1.There is a wave of new start-ups applying the recent breakthroughs from NLP research. Collectively they raise over $100M in the next 12 months.

2.Self-driving technology remains largely at the R&D stage. No self-driving car company drives more than 15M miles in 2019, the equivalent of just one year’s worth of 1,000 drivers in California.

3.Privacy-preserving ML techniques are adopted by a non-GAFAM Fortune 2000 company to beef up their data security and user privacy policy.

4.Institutions of higher education establish purpose-built AI undergraduate degrees to fill talent void.

5.Google has a major breakthrough in quantum computing hardware, triggering the formation of at least 5 new startups trying to do quantum machine learning.

6.As AI systems become more powerful, governance of AI becomes a bigger topic and at least one major AI company makes a substantial change to their governance model.

Artificial intelligence (AI) is a multidisciplinary field of science whose goal is to create intelligent machines.

We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.

In this report, we set out to capture a snapshot of the exponential progress in AI with a focus on developments in the past 12 months. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future. 

We consider the following key dimensions in our report:

– Research: Technology breakthroughs and their capabilities.

– Talent: Supply, demand and concentration of talent working in the field.

– Industry: Large platforms, financings and areas of application for AI-driven innovation today and tomorrow.

– China: With two distinct internets, we review AI in China as its own category.

– Politics: Public opinion of AI, economic implications and the emerging geopolitics of AI