“After 75 years of dramatic advances, the digital computer is bumping against its limits, constrained by its architecture and atomic physics. To continue making smarter, faster and more efficient machines, systems researchers at IBM are pioneering new technologies and approaches.”
via IBM Research
Deep learning technology is driving advancements in artificial intelligence (AI). Deep learning chipsets are led by GPUs and CPUs. However, other chipset types, including application-specific integrated circuits and field programmable gate arrays, are expected to play an extended role.
Increasing computer power and big data for learning will drive the global artificial intelligence hardware market – with a compound annual growth rate (CAGR) of 30.6% through 2024, when it could be worth $54.9 billion.
via BCC Research
According to the latest worldwide market study by ABI Research, the total installed base of AI-enabled devices in industrial manufacturing will reach 15.4 million in 2024 — with a CAGR of 64.8 percent from 2019 to 2024.
The artificial intelligence (AI) market was valued at $21.5 billion in 2018 and will reach 190.6 billion by 2025 — that’s a CAGR of 36.6 percent. Major drivers are big data, cloud-based applications, and demand for intelligent virtual assistants.
“Artificial intelligence is spreading across every industry. With new developments making headlines every day, it can be tough to sort out the essential news from the hype. Our analysts cut through the noise to identify 25 of the top AI trends to watch this year.”
via CB Insights
Worldwide spending on AI systems is forecast to reach $35.8 billion in 2019 — that’s an increase of 44 percent over the amount invested in 2018. IDC expects spending on AI systems will more than double to $79.2 billion in 2022 with a compound annual growth rate (CAGR) of 38 percent over the 2018-2022 forecast period.
American companies face a major skills shortage for AI engineers and other highly technical roles, yet most American students are not pursuing advanced degrees in these fields. American students earn fewer than half of the U.S. doctoral degrees in many STEM fields.
New White Paper Identifies 10 Predictions for AI in 2019, Including Commercialization of New Technologies, Growth of New Application Markets, Changes in Hardware Architectures and Infrastructure, and Evolution of Business Models and Public Policy.