#computer vision

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#computer-vision
ScienceDaily
2 weeks ago
Data science

Tracking animals without markers in the wild

Research developed computer vision framework for markerless tracking of animals in the wild. [ more ]
Inverse
3 weeks ago
Artificial intelligence

Someone Made a DIY Version of Google's Most Exciting AI - and You Can Use It Right Now

Google's Gemini generative AI was used to create DIY-Astra, a chatbot with vision capabilities providing a sneak peek into the potential of improved AI chatbots. [ more ]
www.dw.com
3 weeks ago
Artificial intelligence

AI Lexicon I DW 05/17/2024

Image recognition categorizes digital images or videos into specific items such as people, objects, or places, distinct from computer vision extracting information from visual data. [ more ]
Theregister
1 month ago
Cars

Attack makes autonomous vehicle tech ignore road signs

Autonomous vehicles can be attacked by manipulating CMOS sensors to distort road signs, posing serious security risks. [ more ]
Engadget
1 month ago
Artificial intelligence

Rabbit R1 review: A $199 AI toy that fails at almost everything

Standalone AI gadgets like Rabbit R1 are viewed as hyped devices without real user benefits. [ more ]
Axios
1 month ago
Artificial intelligence

China tops the U.S. on AI research in over half of the hottest fields: report

CSET's research found global AI research doubled from 2017-2022, with computer vision, natural language processing, and robotics leading the way. [ more ]
ScienceDaily
2 weeks ago
Data science

Tracking animals without markers in the wild

Research developed computer vision framework for markerless tracking of animals in the wild. [ more ]
Inverse
3 weeks ago
Artificial intelligence

Someone Made a DIY Version of Google's Most Exciting AI - and You Can Use It Right Now

Google's Gemini generative AI was used to create DIY-Astra, a chatbot with vision capabilities providing a sneak peek into the potential of improved AI chatbots. [ more ]
www.dw.com
3 weeks ago
Artificial intelligence

AI Lexicon I DW 05/17/2024

Image recognition categorizes digital images or videos into specific items such as people, objects, or places, distinct from computer vision extracting information from visual data. [ more ]
Theregister
1 month ago
Cars

Attack makes autonomous vehicle tech ignore road signs

Autonomous vehicles can be attacked by manipulating CMOS sensors to distort road signs, posing serious security risks. [ more ]
Engadget
1 month ago
Artificial intelligence

Rabbit R1 review: A $199 AI toy that fails at almost everything

Standalone AI gadgets like Rabbit R1 are viewed as hyped devices without real user benefits. [ more ]
Axios
1 month ago
Artificial intelligence

China tops the U.S. on AI research in over half of the hottest fields: report

CSET's research found global AI research doubled from 2017-2022, with computer vision, natural language processing, and robotics leading the way. [ more ]
morecomputer-vision
Nature
6 months ago
Artificial intelligence

How AI is expanding art history

AI and machine learning technologies are being used to analyze and understand fine-art paintings and drawings.
AI-driven tools can analyze brush strokes, color, and style to reveal artists' understanding of optics and perspectives.
Collaborations between computer scientists and art scholars are leading to new approaches and classes of questions in art scholarship. [ more ]
www.housingwire.com
6 months ago
Business intelligence

Demo Day: CoreLogic Image Analytics

CoreLogic's Image Analytics feature uses computer vision technology to analyze and extract insights from real estate property images.
The tool can identify property features and conditions, streamlining decision-making and enhancing real estate operations. [ more ]
Medium
1 year ago
Data science

Even More Demo Sessions Coming to ODSC East to Help You Build AI Better

It's time for part 2 of our partner session highlight.Check out more of the talks and workshops from industry-leading data science and AI organizations coming to ODSC East 2023 below.You can see our first round of sessions here.Human-in-the-Loop: Strategies for Improving Time Series Anomaly Detection Andrew Cheesman｜Head of Data Science｜Bigeye
Despite the availability of expertise and effective tools, challenging problems still remain in the field of anomaly detection.
 @micshasan1 year ago
Super interesting technical exploration here.
KDnuggets
1 year ago
Data science

How LinkedIn Uses Machine Learning To Rank Your Feed - KDnuggets

In this article, we will cover how LinkedIn uses machine learning to feed the user's rank.
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Designing a personalized LinkedIn feed to maximize the long-term engagement of the user.Since the LinkedIn feed should provide beneficial professional content for each user to increase his long-term engagement.Therefore it is important to develop models that eliminate low-quality content and leave only high-quality professional content.
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We can measure user engagement by measuring the click probability or known as the ClickThroughRate (CTR).
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Scalability: One of the main technical challenges is the scalability of the system.
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Therefore we have around 120 billion observations or samples.
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