Spending on Robots and Drones to Reach $241 Billion in 2023

IDC: Worldwide spending on robotics systems and drones will be $128.7 billion in 2020, an increase of 17.1% over 2019… By 2023, IDC expects this spending will reach $241.4 billion with a compound annual growth rate (CAGR) of 19.8%.

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8 Top New Year’s Resolutions for 2020

Infographic: America's Top New Year's Resolutions for 2020 | Statista You will find more infographics at Statista

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Machine Learning Algorithms

Murat Durmus: an overview of the most proven algorithms that are mainly used in the field of predictive analytics

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AI Chips, Anyone? On Surging Markets and Spectacular Exits

March 11, 2019: Nvidia buys Mellanox for $6.9b The deal is the second largest ever acquisition in the Israeli high tech industry

December 16, 2019: Intel Confirms $2 Billion Habana Labs Acquisition The deal marks Intel’s second-largest acquisition of an Israeli company

From How To Let Ordinary Investors Invest In Startups? OurCrowd Has The Answer:

“The arrival of autonomous cars is stuck in traffic,” says Medved. “But if you have a product that can be used in the near term you are going to be fine.” As an example, he mentions Hailo, a startup chipmaker OurCrowd has invested in.

Rethinking the traditional computer architecture, Hailo invented an AI processor enabling smart devices to perform sophisticated machine (deep) learning tasks with minimal power consumption, size, and cost. Hailo’s specialized processor fits into a multitude of smart machines and devices, including autonomous vehicles, smart cameras, smartphones, drones, AR/VR platforms, and wearables.

The market for deep learning chipsets is estimated to increase from $5.1 billion in 2018 to $72.6 billion in 2025. The edge computing market, the target market for the Hailo processor, is expected to represent more than three-quarters of the total market opportunity, according to research firm Tractica. “There are ton of applications where people need this today,” says Medved, “not only when there will be fully autonomous cars.”

 

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99 Predictions About AI in 2020

“Q: How worried do you think we humans should be that machines will take our jobs?

A: It depends what role machine intelligence will play. Machine intelligence in some cases will be useful for solving problems, such as translation. But in other cases, such as in finance or medicine, it will replace people.”

This Q&A is taken from Tom Standage’s description of how he interviewed AI (language model GPT-2) for The Economist The World in 2020. As readers of this column’s annual roundup of AI predictions know, this year’s first installment of 120 AI predictions for 2020 featured my interview of Amazon AI in which Alexa performed slightly better than the previous year.

For the new list of 99 additional predictions, I repeated Standage’s question to Alexa, and got the response “Hmm, I’m not sure.” The following AI movers and shakers are a lot more confident in what the near future of machine intelligence will look like, from robotic process automation (RPA) to human intelligence augmentation (HIA) to natural language processing (NLP).

Read more here

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AI by the Numbers: Only 4% of U.S. Executives Plan to Deploy AI Enterprise-wide in 2020

Recent surveys, studies, forecasts and other quantitative assessments of the progress of AI found that

  • 70% of Americans would not trust an autonomous vehicle but 72% of Chinese consumers would trust one;
  • Only 4% of U.S. executives plan to deploy AI enterprise-wide in 2020, down from 20% last year;
  • Only 26% of U.S. executives say they have put measures into place to mitigate potential AI bias;
  • Hiring in the US for “Artificial Intelligence Specialist” has grown 74% annually in the past 4 years;
  • Global private AI investment was over $70 billion in 2019.

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Las Vegas Most Cyber Insecure US Metro

Source: Cybersecurity in the City: Where Small Businesses Are Most Vulnerable to Attack

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