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jonerp : deep   14

The I in AI is dumb leading to incrementalism not transformation
"A plethora of conflated terms - AI, ML, DL along with transformation are not helping decision-makers to chart a path to build more efficient and effective business models. Time to step back."
analytics  planning  and  data  analysis  digital  transformation  -  frictionless  enterprise  future  of  work  governing  identity  privacy  security  machine  intelligence  ai  deep  learning  dl  ml 
may 2018 by jonerp
How AI and Laser-Shooting Robots Can Boost Productivity in the Construction Industry
"According to the company, these relatively impressive improvements are made possible by their software, which is capable of differentiating between the complex set of interior components on any given construction site, ranging from plumbing, to electrical wiring and ventilation ductwork. All these items can be scanned three-dimensionally and mapped into Doxel’s cloud of data points, which are accurate up to 2 millimeters."
science  technology  top  stories  algorithms  artificial  intelligence  construction  deep  learning  doxel  lidar  robotics  robots 
february 2018 by jonerp
5 Essential Pieces of the Deep Learning Puzzle
"The amount of applications and Internet of Things (IoT) devices in the enterprise means there’s no shortage of data. But many datasets can’t be used for deep learning because they’re too small, not structured, or untrustworthy. If machine learning models are trained with incomplete, unstructured, or inaccurate data, they can’t arrive at the best outcomes at best, and can even actively hurt the underlying application they are being applied to."
analysis  contributed  technology  top  stories  amazon  sagemaker  artificial  intelligence  cafee2  data  deep  learning  frameworks  google  hypertune  grid  search 
february 2018 by jonerp
Google AI Achieves “Alien” Superhuman Mastery of Chess and Go in Mere Hours
"And it seems that Google’s subsidiary DeepMind has once again gotten one step closer to this goal with AlphaZero, their latest AI development. Their recently published pre-print research outlined how AlphaZero succeeded in handily beating one of the world’s top chess engines — after teaching itself and mastering the game in four hours and reaching a “superhuman” level of play in a mere 24 hours in not only chess but in two other different types of board games."
science  technology  top  stories  alphazero  artificial  general  intelligence  board  games  deep  neural  networks  deepmind  elmo  game  engines  gaming 
january 2018 by jonerp
Radiologists are often in short supply and overworked – deep learning to the rescue - by @krmarko
"Deep learning has numerous applications in medicine. We examine just one area, radiology, where DL is allowing for the reaping of low hanging fruit."
analytics  planning  and  data  analysis  health  healthcare  transformation  machine  intelligence  ai  deep  learning 
december 2017 by jonerp
Voice and the Future of the Platform Companies - by @fintanr
"We have entered into an era where massive scale is a differentiator – and companies are happy to share the underlying work that has facilitated them operating at scale. Much of the emerging technology landscape, from cloud native to artificial intelligence, is being shaped by projects that companies, like Google and Facebook, have had a hand in either inspiring or creating. But if their revenue streams begin to be threatened will the model of openly publishing research and contributing to various projects change?"
aws  business  cio  cloud  native  deep  learning  strategy 
december 2017 by jonerp
Gartner’s Hype Cycle for Emerging Technologies, 2017 Adds 5G, Edge Computing For First Time
"Gartner added eight new technologies to the Hype Cycle this year including 5G, Artificial General Intelligence, Deep Learning, Edge Computing, Serverless PaaS.
Virtual Personal Assistants, Personal Analytics, Data Broker PaaS (dbrPaaS) are no longer included in the Hype Cycle for Emerging Technologies."
featured  posts  technology  software  ai  amazon  web  services  analytics  artifical  intelligence  cloud  computing  landscape  deep  learning  gartner  hype  cycle  for  emerging  technologies  louis  columbus'  blog 
september 2017 by jonerp
Strategic Technology: Cloud Native Data Science - by @fintanr
"But there are serious difficulties. Standing up and maintaining Hadoop infrastructure is not for the faint hearted. As my colleague, James Governor, recently noted “that giant sucking sound is the sound of Hadoop being sucked into the cloud”. To paraphrase the “infrastructure as a product” mantra that we heard from the team at OpenAI, your big data infrastructure needs to be self-service and easily extendable. We have noted in the past that your big data infrastructure is just dial tone. The ability of your team to use it efficiently is far more important."
aws  business  cio  cloud  native  containers  cto  data  deep  learning  machine  strategy 
june 2017 by jonerp
Microsoft Puts AI Where the Data Is
While the machine learning and artificial intelligence landscape is far more complicated than the database market, if Microsoft can turn SQL Server into a platform where enterprises can work with machine learning and AI from the comfort of their own database systems, where they have familiar controls and development tools, then AI and ML may truly find a home in tomorrow’s enterprise.
technology  top  stories  artificial  intelligence  big  data  deep  learning  documentdb  hadoop  machine  microsoft  r  server 
april 2017 by jonerp
MIT’s New AI Data Extraction System Teaches Itself by Surfing the Web
"The new system could be a boon to accelerating research tasks that may have required more tedious, manual effort from humans previously. Not only would a system like this save time, it could also save lives: the researchers foresee that such a system could be used by healthcare providers, as a tool for aggregating patient histories under a more unified structure, which would improve the quality of care that a patient receives."
science  technology  top  stories  artificial  general  intelligence  association  for  computational  linguistics  conference  on  empirical  methods  natural  language  processing  deep  q-network  machine  learning  massachusetts  institute  of  mit  reinforcement 
january 2017 by jonerp
Google’s DeepMind AI Now Capable of ‘Deep Neural Reasoning’
"But DeepMind, Google’s artificial intelligence research lab, has now gone yet another step further. Having created the AlphaGo software that was able to master the complex board game known as Go, DeepMind has now made what they are calling a “memory-augmented neural network” that uses a kind of external “working memory” that helps it to learn how to complete complex tasks on its own, using human-inspired memory and reasoning, instead of being programmed to do so."
science  technology  top  stories  alphago  artificial  general  intelligence  deep  neural  network  differentiable  computer  google  deepmind  networks 
november 2016 by jonerp
What Will Happen When Nobody Owns Cars?
"There’s any number of scenarios where it would be handy to own your own car. What happens when your date wants to leave that remote restaurant overlooking the beach — do you really want to hope there’s a self-driving Lyft vehicle nearby that can take you home? Or maybe you just don’t want Lyft knowing where you go to church. What if I’m robbing a bank? And how will teenagers park in Lover’s Lane?"
culture  top  stories  automation  autonomous  vehicles  city  planning  deep  thoughts  lyft  millenials  robotics 
october 2016 by jonerp
Apache Spark for Deep Learning: Two Case Studies
"When it comes to big data-styled analytics processing, it’s a so-called two-horse race between the old stallion Hadoop MapReduce and young buck Apache Spark. Increasingly, many companies that are running in Hadoop environments are choosing to process their big data with Spark instead."
case  study  events  top  stories  apache  spark  big  data  frameworks  deep  learning  hadoop  mapreduce  machine  papi  trovit 
may 2016 by jonerp
Deep Learning Demystified
"It does sound expensive and complicated, but the value of understanding the value of deep learning is invaluable. Deep learning is what makes big data more than a buzzword. Machine learning and its deeper cousin are what will give you competitive insights into your customers and then allow you to turn that into drilled-down campaigns. Deep learning has a computer learning patterns and recognizing habits that take millions in market research at which to make educated guesses."
analysis  top  stories  ai  alphago  application  programming  interface  artificial  intelligence  big  data  classic  machine  learning  deep  mind  neural  network  gpu 
april 2016 by jonerp

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