Agafonov Slava Digest about software

Battery Analytics Software from Energsoft

The routine battery analysis from charge/discharge testing is automated down to seconds, while more interesting analyses such as differential capacity and differential voltage analysis are easily tweaked and applied in minutes rather than hours. People don't need to run through multiple charts in Excel, it is all done in the real time from the hardware. All incidents are caught and analyzed before energy source is failing in production. More...

Are humans are far from being a house cat?

The problem: "If you cannot beat the machines it is better to become one." or "Over time I think we will probably see a closer merger of biological intelligence and digital intelligence" - Elon Musk. Somewhere in his packed schedule, Musk has found time to start a neuroscience company that plans to develop cranial computers, most likely to treat intractable brain diseases first, but later to help humanity avoid subjugation at the hands of intelligent machines. “If you assume any rate of advancement in [artificial intelligence], we will be left behind by a lot,” he said at a conference last June. The solution he proposed was a “direct cortical interface”—essentially a layer of artificial intelligence inside the brain—that could enable humans to reach higher levels of function. Mr. Musk has teased that he is developing the technology himself. “Making progress [on neural lace],” he tweeted last August, “maybe something to announce in a few months.” In January he tweeted that an announcement might be coming shortly. More...

Xponential Mindset Advantage

Being an entrepreneur today is vastly different than it was 20 years ago. Today, each of us has access to more capital, more technological tools, more information, more talent, and more computational power than the CEOs of the world’s biggest companies did just two decades ago. Steven Kotler, co-author of "Bold: How to Go Big, Create Wealth and Impact the World," explains the basic tenets of what he and Peter Diamandis call "exponential entrepreneurship." More...

Climate change

We’ve just exceeded a historic inflection point. 2016 was the year solar and renewable energy became cheaper than coal. The Oscar-winning actor and environmentalist has spent the past three years asking a wide variety of people around the world about climate change. His collection of interviews in the film—ranging from President Obama and the Pope through to Elon Musk and Piers Sellars—cover the science, impacts, vested interests, politics and possible solutions. The Fisher Stevens-directed documentary will make its television debut on National Geographic's channel in 171 countries and 45 languages on Sunday, Oct. 30. More...

Machine learning and health

As of 2012, about half of all adults, 117 million people have one or more chronic diseases. One of four adults has two or more chronic diseases (CDC) 84% of all health care spending in 2006 was for the 50% of the population who have one or more chronic health conditions. By 2020 the number of people (adults and children) with chronic conditions is projected to be 157 million people. By 2020, medical information to double every 73 By 2018, 40% of primary care encounters in the U.S. will be delivered virtually. Medical data is expected to double every 73 days by 2020. Also 80% of health data is invisible to current systems because it's unstructured. The measure of a patient's overall health goes beyond medical and genomic conditions. In fact, almost 75% of a patient's status is affected by a host of lifestyle factors like access to shelter, education, income... More...

The future is in the hands of data scientists

Ultimately, data science matters because it enables companies to operate and strategize more intelligently. It is all about adding substantial enterprise value by learning from data. "Data Scientist" has become a popular occupation with Harvard Business Review dubbing it "The Sexiest Job of the 21st Century" and McKinsey & Company projecting a global excess demand of 1.5 million new data scientists. Đ•very organization has to decide its own trade-offs about data scientists department/team. For some, the benefits of an autonomous stand-alone team outweigh the risk of that team being marginalized. The term "data science" (originally used interchangeably with "datalogy") has existed for over thirty years and was used initially as a substitute for computer science by Peter Naur in 1960. For others, the organizational alignment of an integrated team doesn’t justify the challenges that model creates around hiring and culture. It’s up to you to pick the model that works best for your company. More...

Copyright © 2018 - Design by FS