Featured Events

[ValleyML.ai] State of AI and ML-January 2020

In this event as part of series of regularly planned events, we plan to cover the state-of-the art advances in AI technology. Attend and learn to know the state-of-the art advances in AI technology from the industry leaders.

[ValleyML.ai] State of AI and ML-December 2019

In this event as part of series of regularly planned events, we plan to cover the state-of-the art advances in AI technology. Attend and learn to know the state-of-the art advances in AI technology from the industry leaders.

Machine Learning and Deep Learning Boot Camp

Build a solid foundation of Machine Learning / Deep Learning principles and apply the techniques to real-world problems. Learn the theoretical details of machine learning algorithms to the latest techniques in deep learning applications. Create prototypes and build practical deep learning applicat...

Simulation Platform Architecture for ML, DL & AI Fraud Models

Tom will walk through the architecture of the Simulation Platform that leverages a Big Data approach to simulate analytic models that are instrumental in the detection and deflection of potential

Industry 4.0 – What is it and why is it important in today’s world?

Industry 4.0 – What is it and why is it important in today’s world? We are entering the 4th major industrial revolution. The first saw the introduction of steam and water power. The 2nd saw assembly lines and mass production. The 3rd was fueled by computers. Now, we see a 4th, marked by AI, big data...

Deep Learning for Intelligent Video Analytics Hands-on Workshop

What you will learn / Topics that will be covered: 1. Intuitive Treatment • Overview of Intelligent Video Analytics and Deep Learning • Convolutional Neural Network (CNN) • Deep Reinforcement Learning and Imitation Learning • Introduction to OpenCV and Apache Spark • Deployment using TensorRT • Appl...

[SF Bay ACM] RACE your FACTs: Making AI work for Enterprises

There is renewed interest among companies these days to implement and deploy AI models in their business processes either to increase automation or to improve human productivity. AI models are making their way as chatbots in customer support scenarios, as doctors' assistants in hospitals, as legal r...

Deep Learning for Robotics Hands-on Workshop

What you will learn / Topics that will be covered: 1. Intuitive Treatment • Overview of Robotics and Deep Learning • Convolutional Neural Network (CNN) • Deep Reinforcement Learning and Imitation Learning • Introduction to ROS and Point Cloud Library (PCL) • Applications: Object Detection, Path Plan...

Building bigger brains: Utilizing neuromorphic engineering as the path towards brain-scale intelligence and Be agile on data and query the world!

Speaker #1: Gordon Wilson: CEO and Co-Founder of Rain Neuromorphics Topic #1: Building bigger brains: Utilizing neuromorphic engineering as the path towards brain-scale intelligence.   Speaker #2: Patrick Holl Co-founder and CTO of Fusionbase.io Topic #2: Be agile on data and query the world!

Deep Learning for Natural Language Processing Hands-on Workshop

What you will learn / Topics that will be covered: 1. Intuitive Treatment • Overview of Natural Language Processing and Deep Learning • Vector representations of Words: word2vec • Convolutional Neural Network (CNN) • Recurrent neural networks (RNN) • Long Short-Term Memory (LSTM) and Gated Recurrent...

Deep Learning for Computer Vision Hands-on Workshop

What you will learn / Topics that will be covered: 1. Intuitive Treatment • Overview of Computer Vision and Deep Learning • Convolutional Neural Network (CNN) • Deep Reinforcement Learning and Imitation Learning • Generative Adversarial Networks (GANs) • Introduction to OpenCV • Applications: Image ...

Deep Learning with CNN and Tensorflow

What you will learn / Topics that will be covered: 1. Intuitive Treatment • Overview of Deep Neural Networks and Deep Generative Models - History and early Neural Networks, A visual proof that neural nets can compute any function, Convnet (LeNet), AlexNet, Recurrent Neural Networks, Deep Belief Netw...

Classic Machine Learning

What you will learn / Topics that will be covered: 1. Intuitive Treatment • Fundamentals of Machine Learning: Traditional machine learning, Machine learning techniques - Supervised, Unsupervised, Reinforcement, Imitation, Parametric/Non-parametric algorithms, Generative models/Discriminative models ...

Statistical Methods for Data Science

What you will learn / Topics that will be covered: 1. Descriptive statistics and probability for data analysis 1-1. Why statistics is foundation of data science 1-2. Central tendency and dispersion measures 1-3. Bivariate statistics, scatterplot, and correlation coefficient 1-4. The concept of proba...

Emergence of RISC-V computer architecture- embedded apps & ML acceleration

RISC-V Instruction Set Architecture has recently become a key driver for driving open source projects across wide gamut of end applications. Most recently we have seen a lot of application in the Internet of Things (IoT) segment, microcontrollers for a variety of traditional embedded applications, a...

State of AI and ML - Summer 2019

Valley Machine Learning and Artificial Intelligence (ValleyML.ai) is the most active and important community of ML & AI Companies and Start-ups, Data Practitioners, Executives and Researchers in the Silicon Valley. ValleyML.ai bring together business leaders and applied machine learning and deep lea...

[ValleyML.ai, IEEE SCV-CIS and CS] AI, ML and Storage

This session covers how the RISC-V revolution is enabling new accelerators for machine learning (ML), the importance of the computation engines that understand the stored data, the new implementations of these computation engines at the storage edge, and a different approach than the digital logic-b...

AI, ML and Storage - Organized by IEEE CIS, CS and ValleyML.ai

Talk 1: "Emergence of RISC-V computer architecture: embedded applications and machine learning acceleration”, Dr. Zvonimir Bandić, Sr. Director of Next Generation Platform Technologies at Western Digital Corporation, Board of Directors member of RISC-V foundation, Chair of OpenCAPI foundation. 7.10 ...

Squeezing down the computing requirements of deep neural networks

Speaker1:  Forrest Iandola, CEO and co-Founder of DeepScale Speaker2: Albert Shaw, Engineer at DeepScale 

Network Services in a Multi-Vendor Environment

Speaker1: Saikrishna Kotha, Director, Global Network Engineering Speaker2: Anand Palaniswamy, Sr. Manager, Cloud Engineering at PayPal

[ValleyML.ai,IEEE SPS, CIS, CS, CAS] Hands-on OpenVX Inference Tutorial

ValleyML.ai is co-sponsoring an OpenVX Inference tutorial at the AMD building in Santa Clara on Friday, June 14. Hands-on OpenVX Inference Tutorial In this tutorial, we will learn how to run inference efficiently using OpenVX and OpenVX Extensions. OpenVX is an open, royalty-free standard for cross...

Artificial Intelligence for Industry (AI4I) Forum

1:00 - 1:30 PM Check-in / Networking & Refreshments 1:30 - 2:15 PM Prof. Kurt Keutzer (UC Berkeley) 2:15 - 3:00 PM Mr. Lingjie Xu (Alibaba) 3:30 - 4:15 PM Prof. Yung-Hsiang Lu (Purdue University) 4:15 - 5:00 PM Dr. Pradeep Dubey (Intel)

Evolution of Artificial Intelligence & Machine Learning for Veracity of Big Data

1) Talk title: The Evolution of Artificial Intelligence: From the Past to the Future   2) Talk Title: Machine Learning for Veracity of Big Data

Drone-assisted Mobile Edge Computing

In mobile access networks, different types of Internet of Things (IoT) devices (e.g., sensor nodes and smartphones) will generate vast traffic demands, thus dramatically increasing the traffic loads of their connected access nodes, especially in the 5G era. Mobile edge computing enables data collect...

Distributed Tensorflow on Kubernetes – Organized by SFBay ACM & ValleyML.ai

-Introduction to Kubernetes -Kubernetes Architecture -Deploy an app to Kubernetes Cluster -Expose App, Scale App And Update App in Kubernetes -Managing State with Deployments -Federations, Auditing and Debugging Kubernetes, Security Best Practices -An introduction to TensorFlow on Kubernetes -Introd...

The Origins of Silicon Valley: Why and How It Happened Here

Why did Silicon Valley come into being? The storygoes back to local Hams (amateur radio operators) trying to  break RCA’s tube patents, “angel” investors, the sinking of the  Titanic, Fred Terman and Stanford University, local invention of  high-power tubes, WW II and radar, William Shockley’s mothe...

Data Management in the Cloud Era

How is Data Management different today than it used to be? Well, to begin with, there is a gazillion times more data today than there used to be just a decade ago. Clearly, traditional tools of data management are not going to work. Let’s take a look at ways to manage enterprise data at scale withou...

[ValleyML.ai, IEEE SCV-CS and CIS] Data Management in the Cloud Era

How is Data Management different today than it used to be? Well, to begin with, there is a gazillion times more data today than there used to be just a decade ago. Clearly, traditional tools of data management are not going to work. Let’s take a look at ways to manage enterprise data at scale withou...

State of AI and ML - Spring 2019

In this event as part of series of regularly planned events, we covered the state-of-the art advances in AI technology. We focused on AI Accelerators, Self-Driving and Face Processing. We featured thought leaders from Computing, Autonomous systems and Computer Vision.

Machine Learning Compiler Workshop - Spring 2019

We would like to explore the state-of-the art in compilers for machine learning in this series of workshops. In our Fall 2018 workshop, we featured the speakers from teams working on Google Tensorflow XLA, Intel nGraph & PlaidML, TVM and Xilinx ML Suite. In this Spring 2019 workshop, we featured spe...

Please note that in-person conferences (i.e. AI Hardware Expo on May 5th-6th 2020, AI Enterprise Expo on August 25th-26th 2020 and AI Robotics Expo on November 12th-13th 2020 at SEMI, Milpitas, Silicon Valley) are converted into this virtual AI Expo series. 

If you have already purchased a ticket please visit here to access the recordings.