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Monkeys may technically be able to talk (but this will make you glad they don't)

Popular Science

So why don't monkeys talk? Macaques are an old genus whose vocal structures likely evolved a long time ago. For researchers studying human evolution, this suggests that proto-humans had a wide vocal range long before developing speech as we know it. If so, the key to language development could the combination of the ability to experiment with sound and a brain sophisticated enough to remember and interpret those sounds. Or, as the authors put it: "The findings suggest that human speech stems mainly from the unique evolution and construction of our brains, and is not linked to vocalization-related anatomical differences between humans and primates."


Up Your R Game - Break Through R Limitations (Webcast)

@machinelearnbot

According to the Rexer survey,* R is the analytic software of choice for data scientists, business analysts, and data miners in the corporate world. However, despite R's popularity, pervasive R adoption has lagged due to processing and data limitations. This webcast discusses requirements for R and presents a novel approach to make Open source R massively scalable, reliable, and easy to use. In this webcast you will go through a "day in the life of an R analyst" and learn more about:


Overcome the Analytic Limitations of Access and Excel

@machinelearnbot

Although they are often a cornerstone of a company's analytic toolkit, tools like Access and Excel are designed for data storage and basic analytics, not for creating the complex analytics that are required by today's fast-moving businesses. New technologies can help organizations move past the analytic limitations of Access and Excel, especially when dealing with the demands of processing more data, and making analytics available to more decision makers and stakeholders – all at greater speed than ever before. Click here to read the white paper now.



Artificial intelligence is often overhyped--and here's why that's dangerous

#artificialintelligence

To those with long memories, the hype surrounding artificial intelligence is becoming ever more reminiscent of the dot-com boom. Billions of dollars are being invested into AI startups and AI projects at giant companies. The trouble, says Zachary Lipton, is that the opportunity is being overshadowed by opportunists making overblown claims about the technology's capabilities. During a talk at MIT Technology Review's EmTech conference today, Lipton warned that the hype is blinding people to its limitations. "It's getting harder and harder to distinguish what's a real advance and what is snake oil," he said.