yencarnacion + intelligence   94

Could A.I. Turn The Tables On The Physician Burnout Epidemic? | LinkedIn
about half (51 percent) of physicians reported frequent feelings of burnout in 2017
physician  physicians  burnout  stress  ai  artificial  intelligence  victor 
10 weeks ago by yencarnacion
Machine Learning is Fun Part 6: How to do Speech Recognition with Deep Learning
Bay Area Deep Learning School Day 2 at CEMEX auditorium, Stanford
Speech Recognition and Deep Learning by by Adam Coates and Vinay Rao or Baidu
Adam Coates of Baidu gave a great presentation on Deep Learning for Speech Recognition at the Bay Area Deep Learning School. You can watch the video on YouTube (his talk starts at 3:51:00).
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
medium  speech  recognize  recognition  ai  artificial  intelligence  deep  learning 
10 weeks ago by yencarnacion
Partnering with researchers at UC Berkeley to improve the use of ML
Today, the consequences of exposing algorithmic decisions and machine learning models to hundreds of millions of people are poorly understood. Even less is known about how these algorithms might interact with social dynamics: people might change their behaviour in response to what the algorithms recommend to them, and as a result of this shift in behaviour the algorithm itself might change, creating a potentially self-reinforcing feedback loop. We also know that individuals or groups will seek to game or exploit our algorithms and safeguarding against this is essential.
artificial  intelligence  ai  machine  learning  thoughts  though  twitter  unintended  consequence  consequences  behavior  behaviors  behavioral  change  changes  musing  deep  share  sharing  publishing  disseminating  research 
12 weeks ago by yencarnacion
Amazon Comprehend Medical
Unlocking this information from medical language makes a variety of common medical use cases easier and cost-effective, including: clinical decision support (e.g., getting a historical snapshot of a patient’s medical history), revenue cycle management (e.g., simplifying the time-intensive manual process of data entry), clinical trial management (e.g., by identifying and recruiting patients with certain attributes into clinical trials), building population health platforms, and helping address (PHI) requirements (e.g., for privacy and security assurance.)
“We’re able to completely, automatically look inside medical language and identify patient details,” including diagnoses, treatments, dosage and strengths, “with incredibly high accuracy,” said Matt Wood, general manager of artificial intelligence at Amazon Web Services.

During testing, the software performed on par or better than other published efforts, and can extract data on patients’ diseases, prescriptions, lab orders and procedures, said Taha Kass-Hout, a senior leader with Amazon’s health-care and artificial intelligence efforts.

Users upload health records to Amazon’s cloud service, where they can run the text-processing software. Amazon’s algorithms analyze text for specific types of data and return the results in an organized format, similar to a spreadsheet.
amazon  amzn  aws  ai  machine  learning  artificial  intelligence  medical  unstructured  structured  data  mining  language  processing 
november 2018 by yencarnacion
« earlier      
per page:    204080120160

related tags

a  aaai  about  accelerator  acm  adherence  ai  aid  aitopics  alexa  algorithms  amazon  amy  amzn  analysis  analytics  anonymous  ansible  anxiety  app  apple  applied  are  area  article  articles  artificial  assist  assistant  assisting  association  augment  augmenting  automated  automattic  automl  autonomous  aws  b2b  back  backpropagation  baidu  basic  bay  behavior  behavioral  behaviors  bi  big  blog  boston  bot  burnout  business  call  camera  cancer  case  cases  certification  change  changes  channel  chart  charts  chat  chatbot  chatbots  check  checker  checkout  checks  class  client  codelab  codelabs  coders  cognition  collection  commercial  company  comparison  compensation  competition  computer  computing  conference  consequence  consequences  construction  contact  conversational  course  coursera  courses  courseware  cuda  cudann  customer  cv  data  dataset  debian  deep  deepdive  degree  delete  depp  detect  detecting  detection  detects  device  diagnose  diagnosis  diagnostic  digital  discover  discovering  disseminating  dna  docker  doctor  domain  domains  doodle  dow  drawing  drywall  edge  education  email  emails  endi  engine  engine4  enrich  enriching  enrichment  environment  example  examples  executive  experiment  facebook  faces  factiva  fake  fastai  festival  finance  financial  find  finishes  flow  for  francis  francisco  free  fridge  full  future  generation  geoff  github  go  going  google  gpu  gtc  gutsche  hardware  health  healthcare  help  himss  hinton  hitl  hitm  human  hunter  hw  ibm  id  ideas  identification  identify  image  images  in  inference  info  information  install  installation  installing  intel  intelligence  iot  iphone  is  it  jeremy  job  jobs  jones  journal  june  jupyter  kaggle  know  kyc  label  labeling  lambda  language  laptop  later  lattice  law  lawyer  lead  leads  learn  learning  lecture  lectures  legal  line  linkedin  links  linux  list  loop  lot  low  machine  magazine  manufacture  manufacturing  market  marketing  markets  me  mechanical  medical  medicine  medium  meetings  member  membership  mental  middle  mining  mit  ml  mobile  musing  nano  nanodegree  natural  near  network  networks  neural  news  nlp  notebook  notebooks  notes  nurse  nvidia  nytimes  nyu  object  ocean  oem  of  off  office  online  open  order  organization  pantry  paper  papers  parking  pay  people  personal  phone  phonecall  photo  photos  physician  physicians  pi  picture  pictures  platform  play  playground  pneumonia  podcasr  portal  power  pr  practical  privacy  probabilistic  processing  profile  profiles  profiling  programming  propagation  psychiatrist  pub  publication  publishing  puerto  python  pytorch  qualified  rack  raspberry  raspberrypi  read  realistic  recognition  recognize  recommendation  recommendations  reference  references  report  research  resource  resources  reveal  revealing  review  rico  robot  robotic  salaries  salary  sales  san  satellite  schedule  science  search  second  server  service  sfo  share  sharing  shelf  siri  sirius  siriusxm  skin  skip  slides  source  space  speech  stack  standard  stanford  startup  stethoscope  stick  stock  store  story  street  stress  structured  study  studying  suggestion  suggestions  super  syllabus  symptom  symptoms  tagged  talking  taylor  tech  technology  tensor  tensorflow  test  testing  the  though  thoughts  tisona  tizona  tontext  tool  tpu  trabuco  trabuco.lan  track  tracker  tracking  trade  trading  traffic  training  transcribe  transcription  trend  trends  trump  turk  twitter  ubuntu  udacity  unintended  unstructured  usb  use  ventures  victor  video  videos  virtual  vision  visual  voice  vpu  wall  we  were  wired  wordpress  work  worker  workstation  world  xm  xray  your  youtube 

Copy this bookmark: