#mlhardware search results
We're at the AI Hardware & Edge AI Summit starting TODAY, at the Santa Clara Marriott, California! The event brings together leading experts and covers the design and deployment of #MLhardware and #MLsoftware infrastructure across the cloud-edge continuum.
Thank you @tenstorrent our Gold sponsor for their continued support and at the 5th Annual @TMLS_TO Toronto Machine Learning Society (TMLS) 5th Annual Summit. torontomachinelearning.com #MachineLearning #mlhardware
New #SpecialIssue "Advances in Intelligent Hardware, Systems and Applications", edited by Dr. Zhiqiang Que. Deadline is 31 January 2026. Submissions are welcome until deadline! mdpi.com/journal/inform… #MLhardware #hardwareoptimization @ComSciMath_Mdpi
New Video from the #AIHardwareSummit: Counterintuitive Intelligence: Doing More to Cost Less, a TCO Story; presented by Carlos Macian, eSilicon bit.ly/30RCVmI #MLhardware #AIchip #AIhardware
Industry veterans provide guidance for eSilicon’s AI ASIC offering: eSilicon announces AI technical advisory board. neuASIC IP platform for #AIchip, #MLhardware bit.ly/2Sl4Rzf
Recently got interviewed by Electronics Weekly, where we discussed the recent paper on #TsetlinMachine #MLHardware to be published by Royal Society Philosophical Trans A. Also reflected on our ongoing research on new architectures and applications. See: tinyurl.com/yxuhjouo.
#NuitBlanche Hardware for Machine Learning goo.gl/fb/AvHPBR #ml #mlhardware
#NuitBlanche The High-Dimensional Geometry of Binary Neural Networks goo.gl/fb/Z8UJIP #ml #mlhardware
#NuitBlanche Slides; Deep Learning Summer School 2015 goo.gl/fb/lAar6B #ml #mlhardware
#HackGT is now #StackedGT with this expo #MLHardware instagram.com/p/tNnf8-JPG6/
#NuitBlanche Approximating Kernels at the Speed of Light goo.gl/fb/QomFfF #ml #mlhardware
sending #MLHardware to #HackDuke much excite #MajorLeaguePacking instagram.com/p/vOyCrkHJU9/
#NuitBlanche #MLHardware: Deep Learning on FPGAs: Past, Present, and Future goo.gl/fb/qsh05m #ml
#NuitBlanche #MLHardware: Understanding and Optimizing Asynchronous Low-Precision… goo.gl/fb/Ejxb2K
#NuitBlanche Paris Machine Learning Meetup #12 Season 3: #ML Hardware goo.gl/fb/w9hQj0 #mlhardware #mlparis
'CHAOS' a Parallelization Method for Training #ConvolutionalNeuralNetworks: aimechanic.com/2017/02/28/d38… #AIHardware #MLHardware #MachineLearning
Run a TensorFlow Lite model on an NXP i.MX RT1050 EVK to perform gesture recognition using built-in accelerometers and a simple neural network. codemotion.com/magazine/dev-h… #machinelearning #MLhardware #edgecomputing #gesturerecognition #MLmodels @MouserElec
Interested in running machine learning at the edge? Take a look at the tools and hardware that can help. bit.ly/3ljzIXm #ML #machinelearning #MLhardware #edgecomputing #MLmodels @MouserElecEU
codemotion.com
ML at the Edge: a Practical Example
This article is about Machine Learning at the Network Edge presents a practical implementation of ML using an NXP i.MX RT1050 evaluation kit.
New #SpecialIssue "Advances in Intelligent Hardware, Systems and Applications", edited by Dr. Zhiqiang Que. Deadline is 31 January 2026. Submissions are welcome until deadline! mdpi.com/journal/inform… #MLhardware #hardwareoptimization @ComSciMath_Mdpi
Hardware-aware training boosts silicon photonic neural network accuracy from 67% to 95% & cuts tuning power 10x, without needing complex controls #MLHardware #Photonics #GreenAI Read more: bulletpape.rs/WakDSMI
We're at the AI Hardware & Edge AI Summit starting TODAY, at the Santa Clara Marriott, California! The event brings together leading experts and covers the design and deployment of #MLhardware and #MLsoftware infrastructure across the cloud-edge continuum.
Thank you @tenstorrent our Gold sponsor for their continued support and at the 5th Annual @TMLS_TO Toronto Machine Learning Society (TMLS) 5th Annual Summit. torontomachinelearning.com #MachineLearning #mlhardware
Interested in running machine learning at the edge? Take a look at the tools and hardware that can help. bit.ly/3ljzIXm #ML #machinelearning #MLhardware #edgecomputing #MLmodels @MouserElecEU
codemotion.com
ML at the Edge: a Practical Example
This article is about Machine Learning at the Network Edge presents a practical implementation of ML using an NXP i.MX RT1050 evaluation kit.
We take a look at the history of image recognition, and a practical tutorial that you can try out yourself using a Microchip SAM E54.(LINK) #ML #machinelearning #MLhardware #edgecomputing #MLmodels @MouserElecEU
Run a TensorFlow Lite model on an NXP i.MX RT1050 EVK to perform gesture recognition using built-in accelerometers and a simple neural network. codemotion.com/magazine/dev-h… #machinelearning #MLhardware #edgecomputing #gesturerecognition #MLmodels @MouserElec
Recently got interviewed by Electronics Weekly, where we discussed the recent paper on #TsetlinMachine #MLHardware to be published by Royal Society Philosophical Trans A. Also reflected on our ongoing research on new architectures and applications. See: tinyurl.com/yxuhjouo.
New Video from the #AIHardwareSummit: Counterintuitive Intelligence: Doing More to Cost Less, a TCO Story; presented by Carlos Macian, eSilicon bit.ly/30RCVmI #MLhardware #AIchip #AIhardware
ML, Edge Drive IP To Outperform Broader Chip Market #MLhardware #AIchip #AIhardware bit.ly/2Iy7t6q
Optimizing Power For Learning At The Edge Making learning at the edge work requires a significant reduction in power, which means rethinking all parts of the flow. #LowPowerChip #MLhardware #AIchip @ANSYS @Synopsys bit.ly/2MT7UeR
Industry veterans provide guidance for eSilicon’s AI ASIC offering: eSilicon announces AI technical advisory board. neuASIC IP platform for #AIchip, #MLhardware bit.ly/2Sl4Rzf
Thank you @tenstorrent our Gold sponsor for their continued support and at the 5th Annual @TMLS_TO Toronto Machine Learning Society (TMLS) 5th Annual Summit. torontomachinelearning.com #MachineLearning #mlhardware
We're at the AI Hardware & Edge AI Summit starting TODAY, at the Santa Clara Marriott, California! The event brings together leading experts and covers the design and deployment of #MLhardware and #MLsoftware infrastructure across the cloud-edge continuum.
New #SpecialIssue "Advances in Intelligent Hardware, Systems and Applications", edited by Dr. Zhiqiang Que. Deadline is 31 January 2026. Submissions are welcome until deadline! mdpi.com/journal/inform… #MLhardware #hardwareoptimization @ComSciMath_Mdpi
New Video from the #AIHardwareSummit: Counterintuitive Intelligence: Doing More to Cost Less, a TCO Story; presented by Carlos Macian, eSilicon bit.ly/30RCVmI #MLhardware #AIchip #AIhardware
Industry veterans provide guidance for eSilicon’s AI ASIC offering: eSilicon announces AI technical advisory board. neuASIC IP platform for #AIchip, #MLhardware bit.ly/2Sl4Rzf
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