Artificial intelligence (AI) technologies are forecast to add US$15 trillion to the global economy by 2030. According to the findings of our Index and as might be expected, the governments of countries in the Global North are better placed to take advantage of these gains than those in the Global South. There is a risk, therefore, that countries in the Global South could be left behind by the so-called fourth industrial revolution. Not only will they not reap the potential benefits of AI, but there is also the danger that unequal implementation widens global inequalities.
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Plug: We just published a list of 1,000 funded AI startups.
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Particular applications of AI include expert systems, speech recognition, and machine vision.
Machine learning, deep learning and artificial intelligence are all red-hot buzzwords right now. These computing techniques coupled with major leaps in computer performance are changing the world.
From software that can quickly identify skin cancer to predictive models that help us anticipate any number of complex outcomes, there’s hardly anything in the world that won’t feel the impact of next-generation AI.
The Global Computer Vision market accounted for $11.04 billion in 2017 and is expected to reach $23.78 billion by 2026 growing at a CAGR of 8.9% during the forecast period.
Increasing need for quality inspection and automation, rising demand for vision-guided robotic systems and high adoption of 3d computer vision systems are the major factors driving the market growth. However, Lack of Flexible Computer Vision Solutions is restraining market growth.
- DAWNBench:An End-to-End Deep Learning Benchmark and Competition Image Classification (ImageNet)
- Fathom:Reference workloads for modern deep learning methods
- MLPerf:A broad ML benchmark suite for measuring performance of ML software frameworks, ML hardware accelerators, and ML cloud platforms. You can find MLPerf v0.5 results here.. MLPerf Inference Benchmarks is here.
- AI Matrix
- EEMBC MLMark Benchmark
CSRankings is a metrics-based ranking of top computer science institutions around the world. Click on a triangle (►) to expand areas or institutions. Click on a name to go to a faculty member’s home page.
This report examines the emerging regulatory and policy landscape surrounding artificial intelligence (AI) in jurisdictions around the world and in the European Union. In addition, a survey of international organizations describes the approach that United Nations agencies and regional organizations have taken towards AI. As the regulation of AI is still in its infancy, guidelines, ethics codes, and actions by and statements from governments and their agencies on AI are also addressed.