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pierredv : ibm   12

AI for Weather Forecasting – In Retail, Agriculture, Disaster Prediction, and More
"This article will look at how big data and machine learning are transforming weather forecasting and what it means for businesses and governments. In this article we’ll explore:

How companies and government agencies are using AI to improve weather forecasting (including IBM, Panasonic, and the US Government)
Sector-specific machine learning applications for improving business performance (including Retail, Agriculture, Transportation)

Weather forecasting is a strong fit for machine learning. The incredible volume of relevant information — historical data and real-time data — that can be analyzed is simply too great for any group of unaided humans to even begin to process on their own. "

"GE Current has installed smart street lights in several cities that can monitor things like light, humidity, and air quality."

"Panasonic has been working on its own weather forecasting model for years, and it stepped up its effort with the purchase of AirDat in 2013. The company makes TAMDAR, a speciality weather sensor installed on commercial airplanes. "

"According to IBM, 90 percent of crop losses are due to weather events and 25 percent of weather-related crop losses could be prevented by using predictive weather modeling."
TechEmergence  AI  ML  weather  forecasting  IBM  Panasonic  satellite  GE  IoT  NOAA  Monsanto  agriculturevideo 
november 2018 by pierredv
About the IBM Blockchain Technology Platform - Nanalyze Oct 2018
get our hands dirty and scour the media for bits and pieces so we can put together a picture of what the IBM blockchain technology platform might look like today. (If you want to read a quick primer about how blockchain works, read this article first.)
nanalyze  IBM  blockchain 
october 2018 by pierredv
Computers that can argue will be satnav for the moral maze | New Scientist Sep 2016
Issue 3090

"A machine capable of formulating an argument – not just searching information, but also synthesising it into more or less reasoned conclusions – would take the search engine to the next level. Such a “research engine” could aid decision-making in arenas from law to medicine to politics."

"Since the Jeopardy! success, [Noah] Slonim has been collaborating with the Watson team to see whether a machine could graduate from facts to arguments."

"In his 4th-century BC treatise on rhetoric, the ancient Greek philosopher Aristotle distinguished arguments rooted in facts and figures (which he called logos) from appeals that rely on the speaker’s credibility and expertise (ethos) and statements playing on an audience’s emotions (pathos). All three strands are readily discernible in public debate today. The successful campaign for the UK to vote to leave the European Union was arguably a triumph of pathos over logos; when Donald Trump punctuates his speeches with the refrain “believe me”, he is employing ethos, urging listeners to respect his authority."

“The growth of social media has radically awakened our individual expressive capacity,” says Carl Miller of the London-based think tank Demos. “But it hasn’t allowed us to compromise any better.” Reed agrees. “This is a deep structural problem. It’s really hard – even if you’re very motivated – to build up a coherent picture of the arguments pro and con on a particular debate.”

"Reed’s favourite source is the BBC radio show Moral Maze, in which panellists debate the ethics of an issue of the day. Its quasi-legal cut and thrust, laced with pathos and ethos, is just the thing from which to build a general framework for the essence of human argument. ... His team has since repeated the exercise many times, dissecting episodes of Moral Maze and other broadcast and print sources, plus some online forum postings, and turning them into a public databank of argument maps, accessible at aifdb.org. "
NewScientist  argument  rhetoric  reason  AI  automation  IBM  *  Aristotle 
march 2017 by pierredv
IBM - How Watson Works
overview of DeepQA project, David Ferrucci - competing with experts in Jeopardy
via Leland Leichman
"Dr. David Ferrucci, Principal Investigator for the Watson project, provides background on IBM DeepQA architecture. Dr. Ferrucci explains why he and his team have chosen to undertake this momentous challenge – from his interest in teaching a computer to understand natural language to the potential impact this technology could have on different industries."
IBM  computing  ai  video 
february 2011 by pierredv
IBM's Big Push into Business Consulting - BusinessWeek
"stream" computing... allows companies to analyze data as it's being received—rather than having to place it first in a database
IBM  computing  x:businessweek 
may 2009 by pierredv

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