Lifeboat Foundation

A new paper published in Frontiers in Psychology: Performance Science led by Andy Parra-Martinez at the University of Arkansas “describes the general status, trends, and evolution of research on talent identification across multiple fields globally over the last 80 years,” by drawing from the Scopus and Web of Science databases and conducting a bibliometric analysis of 2,502 documents.

Bibliometric analysis is a way of understanding the structure and citation patterns of research around a given topic, in this case, talent identification research.

Talent identification research is concentrated in business, sports, and education

Continue reading “Identifying Talent In Business, Sports, And Education” »

Research unveils the surprising connection between adversarial images impacting both AI and human perception, emphasizing the need for enhanced AI safety.

Discover the subtle influence of adversarial images on human vision and AI systems, underscoring the crucial intersection of technology and perception.

It’s the first significant alteration to the Windows keyboard in almost thirty years.

Microsoft is adding a dedicated Copilot key to PC keyboards, adjusting the standard Windows keyboard layout for the first time since 1994.

Continue reading “Microsoft’s AI ‘Copilot Key’ marks major keyboard change after 30 years” »

A new study compares human and mouse neurons, revealing the astounding computational superiority of the human brain’s Purkinje cells.

Over one billion smartphones with built-in AI are to be shipped by 2027, according to Counterpoint Research.

Samsung is all set to kick off the new year of AI phones with new launch this month. The first of many, Galaxy S24 will be released on January 17 in San Jose, California through a livestream.

TikTok’s Chinese parent company is recruiting across the U.S. for experts in science and healthcare disciplines far afield from social media. Its motives are unclear.

Self-driving labs can perform experiments thousands of times faster than a human and they don’t need to sleep. That means more science in less time, but many questions remain, says Alex Wilkins

By Alex Wilkins

A new biohybrid computer combining a “brain organoid” and a traditional AI was able to perform a speech recognition task with 78% accuracy — demonstrating the potential for human biology to one day boost our computing capabilities.

The background: The human brain is the most energy efficient “computer” on Earth — while a supercomputer needs 20 mega watts of power to process more than a quintillion calculations per second, your brain can do the equivalent with just 20 watts (a megawatt is 1 million watts).

This has given researchers the idea to try boosting computers by combining them with a three-dimensional clump of lab-grown human brain cells, known as a brain organoid.

Dive into the future of road safety as Toyota introduces the world’s first self-drifting GR Supra, combining racing instincts and AI magic!