Artificial Intelligence

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Artificial Intelligence

Top news of the week: 17.08.2022.

#AI
#MachineLearning
#fintech
#ArtificialIntelligence
#DeepLearning
#Billion
#robotics
#BigData
#Amazon
#Human

@Fisher85M shared
On Aug 14, 2022
RT @SpirosMargaris: Why #DeepLearning Alone Isn’t Getting Us To #Human-Like #AI https://t.co/TVSFAHNGtD #fintech #ArtificialIntelligence #MachineLearning @GaryMarcus @NoemaMag @Paula_Piccard @ipfconline1 @Julez_Norton @kalydeoo @asokan_telecom @WSWMUC @enilev @jblefevre60 @Fisher85M @Xbond49 https://t.co/L4T3x4xrRO
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Deep Learning Alone Isn’t Getting Us To Human-Like AI

Deep Learning Alone Isn’t Getting Us To Human-Like AI

Artificial intelligence has mostly been focusing on a technique called deep learning. It might be time to reconsider.

@WSJ shared
On Aug 15, 2022
The first robot that many human beings welcomed into their homes was a peculiar creature born 20 years ago with a funny name. What did the inventors of the Roomba learn from their robot? https://t.co/IfewypbLX2
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Why Amazon Paid $1.7 Billion for a Roomba

Why Amazon Paid $1.7 Billion for a Roomba

How a robot born as a $10,000 prototype found its way into the middle of a $1.7 billion deal.

@TechCrunch shared
On Aug 13, 2022
This morning, #Hyundai announced that the robotics firm will form the foundations of the Boston Dynamics AI Institute, which aims to advance research in artificial intelligence and robotics. https://t.co/VDdNhVE3J1
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Hyundai announces $400M AI, robotics institute powered by Boston Dynamics

Hyundai announces $400M AI, robotics institute powered by Boston Dynamics

Hyundai announced the Boston Dynamics AI Institute, which aims to advance research in artificial intelligence and robotics. Headquartered in Cambridge, Mass.

@KirkDBorne shared
On Aug 16, 2022
RT @efipm >> Some computational neuroscientists say self-supervised #AI #MachineLearning Models have shown a closer correspondence to brain function than supervised-learning models: https://t.co/g3WdZubt76 ——— #DataScience #neuroscience #NeuralNetworks #ComputationalScience https://t.co/WCbTXuiXC1
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Self-Taught AI Shows Similarities to How the Brain Works

Self-Taught AI Shows Similarities to How the Brain Works

Self-supervised learning allows a neural network to figure out for itself what matters. The process might be what makes our own brains so successful.

@IEET shared
On Aug 14, 2022
RT @techreview: A conversation about equity and what it takes to make effective AI policy. https://t.co/VL7KzBM3he
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How to craft effective AI policy

How to craft effective AI policy

A conversation about equity and what it takes to make effective AI policy. This episode was taped before a live audience at MIT Technology Review’s annual AI conference, EmTech Digital. ...

@ipfconline1 shared
On Aug 13, 2022
RT @enilev: Neurotechnologically Augmented #Lawyers ? By @bobambrogi #Neurotech #AI #BCI #Law #regulation #Ethics @RLDI_Lamy @IanLJones98 @ChrisGGarrod @ChuckDBrooks @andi_staub @ipfconline1 @SpirosMargaris @psb_dc @BetaMoroney @efipm @Nicochan33 @RagusoSergio https://t.co/P5YwltwQVG
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Neurotechnologically Augmented Lawyers? Billable Units of Attention? New Study Sees Threats and Opportunities for Neurotechnology and the Law

Neurotechnologically Augmented Lawyers? Billable Units of Attention? New Study Sees Threats and Opportunities for Neurotechnology and the Law

The rise of artificial intelligence has led some to speculate that robots could someday replace lawyers in performing many legal tasks. But what if chips in lawyers' brains — or some other ...

@Fisher85M shared
On Aug 16, 2022
RT @SpirosMargaris: How #AI was supposed to #transform #healthcare. It hasn’t. https://t.co/CPNi27c6P0 #fintech #ArtificialIntelligence #MachineLearning #DeepLearning @_BenLeonard_ @RuthReader @politico @Paula_Piccard @Julez_Norton @kalydeoo @asokan_telecom @WSWMUC @enilev @Fisher85M @psb_dc https://t.co/J5tBtcmGu9
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Artificial intelligence was supposed to transform health care. It hasn’t.

Artificial intelligence was supposed to transform health care. It hasn’t.

Machine learning could improve medicine by analyzing data to improve diagnoses and target cures, but technological, bureaucratic, and regulatory obstacles have slowed progress.

@xamat shared
On Aug 10, 2022
Really excited to be attending (and presenting) at my first IRL conference at KDD next week in DC. I hope to see some of you at my invited ADS talk on Thursday. Ping me if you want to catch up in DC! https://t.co/kP75DdDFmb
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ADS Invited Speakers

ADS Invited Speakers

She joined Xerox Research Centre Europe in 2013 as a research scientist in the computer vision team, working on topics including fine-grained visual categorization, image …

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