The age of artificial intelligence (A.I.) is finally upon us. Consumer applications of A.I., in particular, have come a long way, leading to more accurate search results for online shoppers, allowing apps and websites to make more personalized recommendations, and enabling voice-activated digital assistants to better understand us.

As impressive as these uses of A.I. are, they only hint at how this game-changing technology will be applied in business. Because the goal of business A.I. is to help the companies that drive our global economy learn from their data to become vastly more resilient, adaptive, and innovative.

We all know there is tremendous potential value in data, which continues to grow exponentially. In fact, the world is creating 2.5 quintillion bytes of data every day (that's 2.5 followed by 18 zeros). To harness that potential, companies need A.I. to make sense of the data, and hybrid cloud computing platforms that can distribute it across organizations.

​The economic opportunity behind these technologies is enormous, given that business is only about 10 percent of the way to realizing A.I.'s full potential.

By Arvind Krishna, Chairman and Chief Executive Officer, IBM

​Read the full article here.

Artificial intelligence (AI) is showing promising results in detecting breast cancer which may otherwise have been missed by radiologists, the largest study of its kind has found.

Researchers in Germany discovered that AI can correctly detect interval breast cancers, which develop in between routine screening rounds (usually 24 months in many countries) and can be missed and diagnosed as a false negative result.

In 2020, there were 2.3 million women diagnosed with breast cancer and 685 000 deaths globally, according to the World Health Organization (WHO).

The peer-reviewed study showed approximately 16 per cent of interval cancers are probably visible during a previous screening while one in five may be too subtle to the human eye and can be missed by radiologists, which is known as "minimal signs".

The findings present an opportunity to detect more cancers at a screening with AI, which may help detect breast cancer earlier.

​Read the full article here.

Increasingly, researchers are looking for ways to implement artificial intelligence into medical imaging.
There are several different cases for why a patient might need medical imaging. Whether it’s for a cardiac event, fracture, neurological condition, or thoracic complications, AI can quickly diagnose and provide treatment options.

Recently, research organizations and universities have been pursuing the expansion of AI in cancer screenings. Due to the COVID-19 pandemic, many patients chose to delay care, such as well-visits and cancer screenings, resulting in more advanced cancers.
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By implementing AI into medical imaging, the technology can enhance medical screenings, improve precision medicine, assess patient risk factors, and lighten the load for physicians.

This article looks at how AI can help in:

• Advancing Medical Screenings - By using AI in medical imaging, physicians can identify conditions much quicker, promoting early intervention.
• Improving Precision Medicine - AI can also be implemented into medical imaging to advance precision medicine. 
• Indicating and Assessing Risk - While AI can be used in medical imaging to identify current conditions impacting a patient, it can also predict the potential risk for future illnesses.

Read the full article here.​

• Federal judge says AI can’t be listed as inventor on patents
• Case is first U.S. ruling in global dispute over AI inventions

A computer using artificial intelligence can’t be listed as an inventor on patents because only a human can be an inventor under U.S. law, a federal judge ruled in the first American decision that’s part of a global debate over how to handle computer-created innovation.

Federal law requires that an “individual” take an oath that he or she is the inventor on a patent application, and both the dictionary and legal definition of an individual is a natural person, ruled U.S. District Judge Leonie Brinkema in Alexandria, Virginia.

​Read the full article here.