artificialIntelligence   6416

« earlier    

Practical AI
A practical approach to learning machine learning with Python and notebooks.
python  machinelearning  artificialintelligence  notebook 
yesterday by garrettc
Artificial Intelligence | ScienceSquared
Sure, computers can do sums. But can they think like a mathematician? In Prague Josef Urban wants to make computers prove theorems
TheoremProvers  artificialintelligence 
2 days ago by researchknowledge
[1609.03543] Logical Induction
We present a computable algorithm that assigns probabilities to every logical statement in a given formal language, and refines those probabilities over time. For instance, if the language is Peano arithmetic, it assigns probabilities to all arithmetical statements, including claims about the twin prime conjecture, the outputs of long-running computations, and its own probabilities. We show that our algorithm, an instance of what we call a logical inductor, satisfies a number of intuitive desiderata, including: (1) it learns to predict patterns of truth and falsehood in logical statements, often long before having the resources to evaluate the statements, so long as the patterns can be written down in polynomial time; (2) it learns to use appropriate statistical summaries to predict sequences of statements whose truth values appear pseudorandom; and (3) it learns to have accurate beliefs about its own current beliefs, in a manner that avoids the standard paradoxes of self-reference.
2 days ago by researchknowledge
T-800 (The Terminator) | Terminator Wiki | FANDOM powered by Wikia
Den berømte replik fra Terminator - "It can't be bargained with. It can't be reasoned with. It doesn't feel pity or remorse or fear and it absolutely will not stop EVER until you are dead!"
er faktisk meget god at have in mente, når det kommer til de rigtige kunstige intelligenser. For man kan virkelig ikke forhandle med dem, argumentere med dem, og de føler ingenting. De er maskiner - de har ikke nogen som helst af disse egenskaber. Og de stopper rent taktisk aldrig. Heller ikke når du er død.
aibog  quotes  artificialintelligence 
2 days ago by
The seductive diversion of ‘solving’ bias in artificial intelligence • Medium
Julia Powles and Helen Nissenbaum:
<p>What has been remarkably underappreciated is the key interdependence of the twin stories of A.I. inevitability and A.I. bias. Against the corporate projection of an otherwise sunny horizon of unstoppable A.I. integration, recognizing and acknowledging bias can be seen as a strategic concession — one that subdues the scale of the challenge. Bias, like job losses and safety hazards, becomes part of the grand bargain of innovation.

The reality that bias is primarily a social problem and cannot be fully solved technically becomes a strength, rather than a weakness, for the inevitability narrative. It flips the script. It absorbs and regularizes the classification practices and underlying systems of inequality perpetuated by automation, allowing relative increases in “fairness” to be claimed as victories — even if all that is being done is to slice, dice, and redistribute the makeup of those negatively affected by actuarial decision-making.

In short, the preoccupation with narrow computational puzzles distracts us from the far more important issue of the colossal asymmetry between societal cost and private gain in the rollout of automated systems. It also denies us the possibility of asking: Should we be building these systems at all?

The endgame is always to “fix” A.I. systems, never to use a different system or no system at all.
In accepting the existing narratives about A.I., vast zones of contest and imagination are relinquished. What is achieved is resignation — the normalization of massive data capture, a one-way transfer to technology companies, and the application of automated, predictive solutions to each and every societal problem.

Given this broader political and economic context, it should not surprise us that many prominent voices sounding the alarm on bias do so with blessing and support from the likes of Facebook, Microsoft, Alphabet, Amazon, and Apple. These convenient critics spotlight important questions, but they also suck attention from longer-term challenges. The endgame is always to “fix” A.I. systems, never to use a different system or no system at all.</p>
artificialintelligence  machinelearning  bias 
3 days ago by charlesarthur
DeepMind's AlphaZero algorithm taught itself to play Go, chess, and shogi with superhuman performance and then beat state-of-the-art programs specializing in each game. The ability of AlphaZero to adapt to various game rules is a notable step toward achie
We introduce a full evaluation of AlphaZero, published in the journal Science, which describes a single algorithm that taught itself from scratch how to master the games of chess, shogi (Japanese chess), and Go, convincingly beating a world champion program in each case. AlphaZero’s ability to learn each game by itself results in a distinctive, creative and dynamic playing style that has captured the attention of the chess community. The result also marks an important step towards creating a flexible, general-purpose system that could one day learn to solve many different important and complex scientific problems.
5 days ago by joeybaker

« earlier    

related tags

+++--  1968  1999  2008  2017  2018  accountability  ai  aibog  ainow  algorithm  algorithms  amazon  analogy  analogyspace  analytics  animation  app  art  articles  artificialintelligence  autocomplete  automaticdifferentiation  automation  babysitters  banks  bayes  bbc  bias  big  bigdata  blockchain  body  book  books  bots  brain  broadcast  businessmodels  california  capitalism  cars  cathyoneil  cathyoneill  charts  chatbots  checking  children  china  classes  climate  coding  collaboration  colorado  commonsense  computervision  computing  conceptnet  corpus  courses  credit  criminaljustice  customerexperience  dance  data  dataextractivism  datascience  dc:creator=morozovevgeny  dctagged  december  deepfake  deepfakes  deeplearning  defect  differentiableprogramming  dimension  divorcedwomen  ecommerce  economics  ed-future  education  eff  elections  emergence  emilysegal  employment  ethics  everything2  existenz  explainer  facialrecognition  fariness  fashion  fearmongering  fintech  foia  foodstamps  forbes  fordfoundation  france  francescomarconi  francia  freedom  future  futureofwork  gender  genre  geoffreyhinton  google  googlesearch  guardian  hardware  health  hospitals  housing  human  humanresources  ibm  illusion  improv  institutions  insurance  intelligence  internet  iot  jobs  julia  khole  knowledge  labor  language  languages  larp  larsvontrier  latanya  learning  legal  machinelearning  mapreduce  marketing  marvinminsky  math  mathematics  matrices  media  medicine  medium  metrics  microsoft  mimesis  minibar  mit  ml  mobile  monopolies  mstechsummit  nemesisglobal  neuralnetworks  neuroscience  news  niemanlab  nlp  notebook  nytimes  openmindcommonsense  opensource  orchestra  oslo  pairprogramming  papers  pdf  peopletofollow  personaldata  personalitytests  pewresearch  philosophy  phishing  phrase  play  podcasts  politics  polymathsai  presentation  presentations  privacy  programming  psychology  puppeteering  python  pytorch  quotes  race  readers  reality  reference  report  research  resort  retail  robotics  robots  rolepaly  scalability  scipy  search  semantic  seo  services  ski-season  slides  smallbusiness  socialgood  soma  somatic  speech  sports  statistics  stats  strangedays  study  surveillancestate  susanploetz  syntheticlearning  technology  techreview  tensorflow  theidiots  theintercept  thematrix  theoremprovers  thinktank  time  tools  toread  tradingbot  translation  trend  trends  uswest  video  videos  war  washingtonpost  weapons  wikidata  winter  work  writing  wsj  wto  youtube  zipcode 

Copy this bookmark: