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Train and validate a machine learning model on data of historical NBA MVP candidates to forecast the 2021–2022 season MVP.

Robots could become crucial caregivers in the near future.

Robots could become crucial caregivers in the future, with new technologies constantly in development to help improve the quality of life for the globe’s aging population and for people with physical disabilities.

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In 1987, at the beginning of the IT-driven technological revolution, the Nobel-Prize-winning economist Robert famously quipped that “you can see the computer age everywhere but in the productivity statistics.”

More than 30 years later, another technological revolution seems imminent. In what is called “the Fourth Industrial revolution,” attention is devoted to automation and robots. Many have argued that robots may significantly transform corporations, leading to massive worker displacement and a significant increase in firms’ capital intensity. Yet, despite these omnipresent predictions, it is hard to find robots not only in aggregate productivity statistics but also anywhere else.

While investment in robots has increased significantly in recent years, it remains a small share of total investment. The use of robots is almost zero in industries other than manufacturing, and even within manufacturing, robotization is very low for all but a few poster-child industries, such as automotive. For example, in the manufacturing sector, robots account for around 2.1% of total capital expenditures. For the economy as a whole, robots account for about 0.3% of total investment in equipment. Moreover, recent increases in sales of robotics are driven mostly by China and other developing nations as they play catch up in manufacturing, rather than by increasing robotization in developed countries. These low levels of robotization cast doubt on doomsday projections in which robots will cut demand for human employees.

Continue reading “The Robots Are Not Coming” »

This is a truly revolutionary technology that needs to be implemented all over.

In fact, it’s not even the first time that IBM has tried — unsuccessfully — to unload the project, in yet another sign that corporate expectations for AI are continuing to crash into reality.

“Health care always is going to turn out to be more subtle, as well as more regulated for the right reasons, than it is in other areas,” IBM CEO Arvind Krishna said in an Axios and HBO interview last year. “And to me, that’s natural. It is a decision that may impact somebody’s life or death. You got to be more careful. So in health care, it turns out maybe we were too optimistic.”

The sale, if it actually goes through this time, would affect millions of patients and entire government healthcare strategies.

Researchers at the Indian Institute of Technology Bhubaneswar, in collaboration with TCS Research and Wageningen University, recently devised a new strategy that could improve coordination among different robots tackling complex missions as a team. This strategy, introduced in a paper pre-published on arXiv, is based on a split-architecture that addresses communication and computations separately, while periodically coordinating the two to achieve optimal results.

For many years, a bottleneck in technological development has been how to get processors and memories to work faster together. Now, researchers at Lund University in Sweden have presented a new solution integrating a memory cell with a processor, which enables much faster calculations, as they happen in the memory circuit itself.

In an article in Nature Electronics, the researchers present a new configuration, in which a memory cell is integrated with a vertical transistor selector, all at the nanoscale. This brings improvements in scalability, speed and energy efficiency compared with current mass storage solutions.

The fundamental issue is that anything requiring large amounts of data to be processed, such as AI and machine learning, requires speed and more capacity. For this to be successful, the memory and processor need to be as close to each other as possible. In addition, it must be possible to run the calculations in an energy-efficient manner, not least as current technology generates high temperatures with high loads.

Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses.

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The car market is changing, and quickly.
it seems combustion engines are declining quickly in popularity, as electric vehicles, led by @Tesla 0, are taking the market by storm, selling as fast as they can be produced, and outselling all but the very cheapest city cars in most markets.

But are they for you?
Do they have the range and can you afford to make the switch?

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