Goto

Collaborating Authors

artificialintelligence


Pinaki Laskar on LinkedIn: #AI #artificialintelligence #technology

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Machine Activities, Which tasks in your process are best suited for machines rather than human? How might you make the best use of machine precision and accuracy? Which limitations of human abilities could be taken over by machines in your process? Human Activities, What AI technology allows your human agents to focus on? How might you make best use of human agents' judgment, flexibility and creativity?


Biggest influencers in artificial intelligence: The top individuals to follow

#artificialintelligence

GlobalData research has found the top influencers in artificial intelligence based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in artificial intelligence on Twitter during Q4 2020. Kirk Borne is a principal data scientist and executive advisor at Booz Allen Hamilton, analytics, digital and engineering consulting firm. Borne also serves as an advisory board member of Syntasa, a computer software company, and as an executive committee member of the Astroinformatics and Astrostatistics International Organisations. Ronald Van Loon is a principal analyst and CEO of the Intelligent World, an influencer network that connects people and businesses.


Alessandro Ferrari on LinkedIn: #AI #artificialintelligence #machinelearning

#artificialintelligence

This work exploits a large source domain for pretraining and transfer the diversity information from source to target. Highlights: Anchor-based strategy for realism over regions in latent space A novel cross-domain distance consistency loss Existing models can be leveraged to model new distributions with less data Extensive results demonstrates qualitatively and quantitatively that this few-shot model automatically discovers correspondences between source and target domains and generates more diverse and realistic images than previous methods.


Alessandro Ferrari on LinkedIn: #AI #AI #artificialintelligence

#artificialintelligence

This #AI uses *MIRRORS* to largely improve the 3D human pose reconstruction Compared to general scenarios of 3D pose estimation from a single view, the mirror reflection provides an additional view for resolving the depth ambiguity Highlights: Exploiting mirror symmetry constraints for accurate 3D pose Estimating the surface normal of the mirror from vanishing points Mirrored-Human: a brand new dataset of "mirrored" human subjects Mirrored-Human with reconstructed 3D poses as pseudo ground-truth largely improves the accuracy and generalizability of existing single-view 3D pose estimators. Link to the paper, code and additional material in the first comment Want to know more about #AI and our projects?


Pinaki Laskar on LinkedIn: #artificialintelligence #neuralnetworks #Robotics

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Can "Natomic Theory" create real intelligence in a thinking machine? Building Machines That Learn and Think Like People. We argue that these machines should (a) build causal models of the world that support explanation and understanding, rather than merely solving pattern recognition problems; (b) ground learning in intuitive theories of physics and psychology, to support and enrich the knowledge that is learned; (c) harness compositionality and learning-to-learn to rapidly acquire and generalize knowledge to new tasks and situations. We suggest concrete challenges and promising routes towards these goals that can combine the strengths of recent neuralnetwork advances with more structured cognitive models. As long as natural intelligence remains the best example of intelligence, we believe that the project of reverse engineering the human solutions to difficult computational problems will continue to inform and advance AI. #artificialintelligence #neuralnetworks #Robotics #deeplearning #algorithms


Pinaki Laskar on LinkedIn: #artificialintelligence #neuralnetworks #datascience

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner In The AGI architecture, Where is the learning and reasoning module? The entire structure of AGI serves the dual purpose of permanent learning and permanent use of accumulated knowledge for decision-making. An AGI system - even if the prototype cannot reach the intellectual level of a human - should be a kind of active control system, capable of exploring the environment, controlling sensors and actuators to collect the most important and valuable information.


Pinaki Laskar on LinkedIn: #ArtificialIntelligence #Philosophy #deeplearning

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Could #ArtificialIntelligence have a Soul? What exactly a soul is, is a fundamental question, that wasn't physical body but the breath of life. And Thinking is a function of man's immortal soul, the word we use for each person's idea of what they are and why. When Alan Turing considered thinking machines. Hence Machine can think....If you left an intelligent machine by itself, or a community of them together, they would try to figure out where they came from and what they are.


Pascal BORNET on LinkedIn: #artificialintelligence #deeplearning #machinelearning

#artificialintelligence

Machine learning brings OLD PAINTINGS and PHOTOS to LIFE Researchers at Samsung AI have created a new system able to generate a video of a person speaking and making ordinary expressions, from just ONE single image of this person's face. The result is quite convincing This AI-based system uses three steps: 1. The neural network model learns facial landmarks on a large amount of video data 2. We feed in the face picture (can be a picture or a painting) 3. Via a "style transfer loss" process, in just a few seconds, a realistic video of the head in movement is obtained This technology is expected to help graphic designers, game developers and other artists to accelerate development time, allowing them to spend more time on creative activities In addition, for all of us, it enables to give life to the grand-grand-parents we have never met, just from one picture of them Read more detail in the paper: https://lnkd.in/d2pfGQ6


Pinaki Laskar on LinkedIn: #healthcare #digitaltwin #artificialintelligence

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner How to predict individuals' future #healthcare needs as well as to prepare to respond more quickly and effectively. Your #digitaltwin could work for proactive, personalized medicine. Building a personalized digitaltwin, Data from multiple scales are needed to build computational representations of biological processes and body systems that are affected by viral infection. These submodels are integrated and personalized with clinical data from individual patients. The digitaltwin can then be used to derive predictions about diagnosis, prognosis, and efficacy and optimization of therapeutic interventions.


Biggest influencers in robotics in Q4 2020: The top individuals to follow

#artificialintelligence

GlobalData research has found the top influencers in robotics based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in robotics on Twitter during Q4 2020. Ronald Van Loon is the principal analyst and CEO of the Intelligent World, an analyst and influencer network that enables experts and businesses to interact and collaborate with each other and new audiences. He is regarded as a notable expert in data analytics and digital transformation. Loon is also an advisory board member for Simplilearn, an online platform for digital skills training and has previously worked as the director of Advertisement, an information technology and services company.