Google’s premier cloud computing AI conference, Google Cloud Next 2023, took place the last week of August at Moscone Center in San Francisco. I attended the event and had the opportunity to spend several days in a variety of keynotes, briefings, sessions, as well as explore the event’s expo floor. Of course, I shared some...
I recently had the opportunity to attend the Google Cloud Executive Forum, held at Google’s impressive new Bay View campus, in Mountain View, California. The Forum was an invitation-only event that brought together CIOs and CTOs of leading companies to discuss Generative AI and showcase Google Cloud’s latest advancements in the domain. I shared my...
Are you interested in exploring and experimenting with Generative AI and Large-Language Models, or brushing up on your deep learning fundamentals? If so, look no further than our weekly study groups! Our Generative AI Study Group meets every Friday at 8am PST. The group focuses on exploring practical applications of generative models. We’ll dig into a...
A recent New Yorker article, “ChatGPT Is a Blurry JPEG of the Web,” has been making the rounds. After sharing an anecdote about a Xerox copier with an overly aggressive compression system, author Ted Chiang constructs an analogy between ChatGPT and compression technology, comparing the AI-powered chatbot to a Photoshop-esque blur tool applied to paragraphs...
With the widespread news of tech company layoffs, it looks like the industry is entering the inevitable downward phase in the economic cycle. This is the second-and-a-half time I’ve experienced this in my career. The first was the dot-com bust in the early 2000s. The second was the global financial crisis of 2007-2008. The “half”...
Guess what? TWIMLcon: AI Platforms is just a few days away and our virtual conference platform opens TODAY! If you’ve been procrastinating with your registration, now is the time! We’ve got a great lineup of sessions, workshops, panels, and fun networking events in store for attendees. Last year at TWIMLcon we launched TWIMLconnect, our attendee networking program, which is back again this...
TWIMLcon: AI Platforms starts NEXT WEEK 🎉🎊🙌! I’m obviously super excited for the conference, and I think you should be too! Here are the top 10 reasons why I think you should register for TWIMLcon today! 1. Great Sessions: We’ve got an incredible session line-up for this year’s TWIMLcon. If you care about real-world ML or MLOps, you’ll...
You may know Intuit as the public company (INTU) behind Quickbooks and Turbotax but thanks to $20B of recent acquisitions, they are also the new owners of the Mailchimp marketing automation company and Credit Karma – a personal finance application. The company invests heavily in machine learning and AI as a way to deliver new...
Check out this demo of Qualcomm Technologies’ AIMET, the AI Model Efficiency Toolkit. AIMET is a library that provides users with advanced quantization and compression techniques from Qualcomm AI Research for trained neural network models. In this video, Sam is joined by Abhijit Khobare, director of software engineering at Qualcomm Technologies. The two explore why AIMET is an important tool...
Earlier this year, we rolled out a major update to the TWIML website designed to make it easier for you to discover, use, and share podcast episodes and other TWIML content. Here are our top 10 favorite features of the new site: All of TWIML’s content together at last More FREE content With the release...
Back in the fall of 2018, we conducted a series of interviews with some of the people behind the large-scale ML platforms at organizations like Facebook, Airbnb, LinkedIn, OpenAI and more. That series of interviews turned into the first volume of our AI Platforms podcast series, led to the publication of the The Definitive Guide...
A conversation with Ziad Asghar Qualcomm Technologies provides connectivity and intelligence for a wide variety of devices, spanning mobile to vehicles to robotics and beyond. The company launched its first AI project in 2007 and has since launched 15 platforms and systems with AI on board. To support this innovation, the company invests in fundamental...
There are few things I love more than cuddling up with an exciting new book. There are always more things I want to learn than time I have in the day, and I think books are such a fun, long-form way of engaging (one where I won’t be tempted to check Twitter partway through). This...
Running out of gift ideas and need a little inspiration? The TWIML team has you covered! We put together a 2021 Holiday Gift Guide featuring some of our favorite new AI products. This is just a small sampling of some of the nifty gadgets and services that caught our attention this holiday season. This year,...
A couple of days ago was #GivingTuesday, a “global generosity movement” that aims to harness some of the energy of Black Friday and Cyber Monday in support of charitable organizations. Hopefully you took advantage of the opportunity to donate to organizations you believe in. While you’re in the giving spirit, don’t forget those organizations working...
MLOps at Redfin Redfin is a real estate brokerage founded by software developers that makes the process of buying and selling houses more efficient. They are the biggest real estate brokerage site on the web. When Akshat initially joined the company, the machine learning team at Redfin was a separate unit that focused on both...
Who is Edward Raff? Edward Raff works as a head scientist at the consulting firm Booz Allen Hamilton (BAH). As Edward describes it, their business model is “renting out people’s brains” to business and government organizations. Edward sees BAH research as both a way to establish expertise in their field and a way to train...
Who is Tim Rocktäschel? Tim Rocktäschel got his start in NLP research, earning a PhD from University College London. Initially, his research focused on knowledge representation and textual entailment, until he became disillusioned with the static nature of the data sets and tired of “chasing scores on a leaderboard.” Tim’s transition to the field of...
Getting to know Andrea Banino Andrea’s background as a neuroscientist informed his work in deep learning. At DeepMind, Andrea’s research falls in the realm of Artificial General Intelligence, specifically memory, along with investigating ways to shape deep learning systems so they better mimic the human brain. “I think for us, we have a different sort...
“Speech is the most natural way to communicate, so using voice to interact with machines has always been one of the top scenarios associated with AI.” Getting to know Li Jiang Li Jiang, now a distinguished engineer at Microsoft Speech, was introduced to speech recognition while doing research as an undergraduate student in the mid-1980’s....
A quick note: While they’re still early in their ML/AI journey, Stack Overflow is a company that is well-known and beloved in technical communities, and often one of the first places we look to solve problems big or small. For that reason I’m excited to share the conversation with you. That said, if you’re looking...
Getting to Know Kanaka Rajan Kanaka Rajan had a circuitous route into computational neuroscience. Initially trained in biomedical engineering, she switched to experimental neuroscience in graduate school at Columbia University. While she enjoyed the challenge of the experiments, she felt impeded by experiment design, and ended up following some of her more mathematical training to...
It’s common to think of creativity as conceiving new ideas from nothing, but some of the best examples of creativity come in the form of bringing together previously unconnected ideas. Peanut butter cups provide one tasty example—sorry, I’m writing this at lunchtime—but so do many Tiktok videos, which combine published music with user-created videos to...
Hey everyone! I’m excited to share that show you’re listening to at this very moment in episode 500 of the TWIML AI Podcast! It’s been so amazing having the opportunity to explore, learn about, and chronicle the work of so many amazing people in machine learning and AI over the past five years, and it...
Causality and causal modeling Causality and causal modeling is one of the hottest topics in machine learning. Earlier this year we launched a new causality course and study group with instructor Robert Osazuwa Ness, which received great feedback from students: “I liked the course very much. Robert did a great job of reaching out to...
Sam Charrington: [00:00:00] All right, everyone. I am here with Jabran Zahid, Senior Researcher with Microsoft Research. Jabran, welcome to the TWIML AI Podcast. Jabran Zahid: [00:00:09] Thank you very much, Sam. It’s a pleasure to be here. Sam Charrington: [00:00:11] Great to have you on the show. I’m really looking forward to digging into...
Sam Charrington: [00:00:00] Welcome to the TWIML AI podcast. I’m your host, Sam Charrington. Hey, what’s up, everyone. Before we jump into today’s interview, I’d like to give a huge thanks to our friends at Microsoft for their continued support of the podcast. Microsoft’s mission is to empower every single person on the planet to...
Solmaz Shahalizadeh In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago to now having over 100 models in production across all aspects of the business. Though she had much to share, one quote that stood out...
How do you build a machine learning platform for one of the world’s largest websites from the ground up? This is the question we posed to Chris Albon, Director of Machine Learning, at the Wikimedia Foundation. This is what told us: Learn everything you can about your organization, the customers it serves, and the critical...
What are the most important factors to consider when building a global data science team? Ya Xu, Head of Data Science at LinkedIn, recently shared at TWIMLcon how she went from being an individual contributor to becoming a data science leader with over 350 global team members. During our conversation, Ya encouraged us to remember...
Sam Charrington: [00:00:00] Welcome to The TWIML AI Podcast. I’m your host, Sam Charrington. Before we jump into the interview, I’d like to take a moment to thank Microsoft for their support of the show and their sponsorship of this series of episodes highlighting just a few of the fundamental innovations behind Azure Cognitive Services....
Sam Charrington: Hey Everyone! Last week was the first week of our TWIMLcon: AI Platforms conference, and what a great first week it was! Following three days of informative sessions and workshops, we concluded the week with our inaugural TWIMLcon Executive Summit, a packed day featuring insightful and inspiring sessions with leaders from companies like...
We hope you’re taking some time to relax over the holidays and want to make sure you have plenty of content for when you’re in the mood for a technical binge! December is always slammed with end-of-year events, and this year is no different. We’ve covered some of the month’s events and innovations in our...
One of the silver linings to an otherwise crazy year was that I spent a lot of time at a desk that would have otherwise been spent in planes, trains, and automobiles. As a result, Team TWIML got quite a lot done this year! I thought I’d share a few of the accomplishments we’re most...
Causality and causal modeling is one of the hottest topics in machine learning. Earlier this year we launched a new causality course and study group with instructor Robert Osazuwa Ness, which received great feedback from students: “I liked the course very much. Robert did a great job of reaching out to students to understand their...
In spite of all the hype, the reality is that the typical enterprise doesn’t need to do anything different to benefit from AI. They won’t need to hire data scientists, or collect any training data, or build any machine learning or deep learning models. It is already the case, and it will be increasingly true...
Running out of gift ideas and need a little inspiration? The TWIML team has you covered! We put together a Holiday Gift Guide featuring some of our favorite AI-enabled products. It’s probably no surprise if you listen to the podcast, but AI has found its way into a bunch of different areas. This is just...
In this webinar on Feature Stores for Accelerating AI Development we’re joined by leaders from Tecton, Gojek, and Preset to discuss how organizations can increase value and decrease time-to-market for machine learning using feature stores, MLOps, and open source. We discuss the main data challenges of AI/ML, and the role of the feature store in solving...
Sam Charrington: Hey, what’s up everyone! We are just a week away from kicking off TWIMLfest, and I’m super excited to share a rundown of what we’ve got in store for week 1. On deck are the Codenames Bot Competition kickoff, an Accessibility and Computer Vision panel, the first of our Wellness Wednesdays sessions featuring...
Sam Charrington: Hey, what’s up everyone! We are just a week away from kicking off TWIMLfest, and I’m super excited to share a rundown of what we’ve got in store for week 1. On deck are the Codenames Bot Competition kickoff, an Accessibility and Computer Vision panel, the first of our Wellness Wednesdays sessions featuring...
Causality and causal modeling is one of the hottest topics in machine learning. Earlier this year we launched a new causality course and study group with instructor Robert Osazuwa Ness, which received great feedback from students: “I liked the course very much. Robert did a great job of reaching out to students to understand their...
We’re collaborating with machine learning practitioner and leader Louis Dorard to bring his course and study group, ML Systems for Leaders & Innovators, to the TWIML Community. If you’re a machine learning manager or decision-maker or aspire to be one, please check out our recent webinar above to learn more about how Louis can help...
Today, we premiere my conversation with Dillon Erb, Co-founder and CEO of Paperspace on the latest TWIML Watch Party! Dillon and I will be in the chat answering all of your questions and sharing our reflections on the interview. In our conversation, Dillon and I explore the relationship (differences and overlap) between traditional software development...
Join us on Thursday, August 27th as we premiere my conversation with Dillon Erb, Co-founder and CEO of Paperspace on the latest TWIML Watch Party! Dillon and I will be in the chat answering all of your questions and sharing our reflections on the interview. In our conversation, Dillon and I explore the relationship (differences...
We’re collaborating with machine learning practitioner and instructor Luigi Patruno to bring his course and study group, Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker, to the TWIML Community. Please visit our Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker course page to learn more about the course, peruse FAQs, and...
The use of machine learning in business, government, and other settings that require users to understand the model’s predictions has exploded in recent years. This growth, combined with the increased popularity of opaque ML models like deep learning, has led to the development of a thriving field of model explainability research and practice. In this...
Join us at 3pm ET / 12pm PT on Monday, August 3rd for another live TWIML watch party and AMA session featuring Iordanis Kerenidis, Research Director at CNRS Paris and Head of Quantum Algorithms at QC Ware. In our interview, we explored questions like: What machine learning applications can quantum computing be applied to? What...
Use Python? We need your input! Take our survey to help us better understand the Python data science ecosystem. It only takes 3 minutes and as a token of our appreciation, we’ll be selecting three lucky winners to receive a $25 Amazon gift card. Take the Survey The Great ML Language (Un)Debate is the latest...
We’re collaborating with machine learning practitioner and instructor Luigi Patruno to bring his course and study group, Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker, to the TWIML Community. If you’ve been wanting to learn more about one of the hottest Machine Learning products of 2020, please register to join us for...
The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, sparked a great deal of it. PULSE proposes a new approach to the image super-resolution problem, i.e. generating a faithful higher-resolution version of a low-resolution...
Reminder: Today is the last day to enroll in Causal Modeling in Machine Learning. Over the past few years, causality and causal modeling has become a very hot topic in machine learning. Yoshua Bengio and other ML luminaries are excited about its potential to help address pressing issues like transparency and bias that limit our...
Causality and causal modeling is one of the hottest topics in machine learning. Earlier this year we launched a new causality course and study group with instructor Robert Osazuwa Ness, which received great feedback from students: “I liked the course very much. Robert did a great job of reaching out to students to understand their...
In solidarity with #AmplifyBlackSTEM, we’ve put together a playlist to do just that. Over the last four years, we’ve had the privilege of speaking with some of the best in both industry and academia. We’re excited today to highlight their immense talent and hard work. We’d also like to highlight the work of Black in...
Thank you for your interest in TWIML’s ML Pulse 2020: ML Development, Deployment and Operations Survey. The data collection phase of the survey is now complete, and we are deep in the data analysis process. The resulting report will be available soon, and will cover: The State of the Market: A high-level overview of industry...
In a message last week, I addressed the recent death of George Floyd, the protests, and the future we are working towards. While we all have a responsibility to engage in the fight against racism, the ML/AI community has a unique responsibility to ensure that the technologies we produce are fair and responsible and don’t...
What a week. Those of you who follow me on Twitter may have seen that, a week ago today, I was expressing my anger over the behavior of Amy Cooper, a white woman who, after being asked to leash her dog in an area of Central Park where this is required, proceeded to call the...
Buen dia! The Democast is BACK! This month, we had the pleasure of chatting with Karthi Natesan Ramamurthy, a research staff member at the IBM TJ Watson Research Center, and one of the architects of today’s demo topic, IBM’s AI Fairness 360 Toolkit. We had the opportunity to get an early look at 360...
Welcome back, friends! This month, we had the pleasure of sitting down with Andrew Trask, PhD Student at the University of Oxford, and leader of the OpenMined community, for our latest installment of TWIML Democast. Some of you might remember Andrew from the podcast, where he joined Sam in episode #241 to discuss Privacy-Preserving Decentralized...
To hear about Josh Tobin’s various projects in robot learning, check out the full interview! The discussion on projects outside of the NeurIPS paper picks up at 15:58 in the podcast. Enjoy! Robots have a particularly hard time with “reading a room.” In order to know how to act, they first need to understand their...
Ken Goldberg is involved in several projects in collaboration with multiple organizations at UC Berkeley, including some technology-based art projects. To hear about all of them, check out the recent TWIML AI Podcast interview, The Third Wave of Robotic Learning with Ken Goldberg. Ever thought you had a good grip on your phone and then...
Stefan Lee is involved in a number of projects around emergent communication. To hear about more of them, in addition to the ViLBERT model, check out the full interview! TWiML Talk #358 with Stefan Lee. One of the major barriers keeping robots from full immersion in our daily lives, is the reality that meaningful human...
Hi everyone! Unless you’re Jared Leto, or a contestant on Big Brother Germany, you’ve undoubtedly seen your world shift dramatically over the last few weeks. For most of us, this is uncharted territory and unfortunately, we’re not quite able to see the finish line just yet. Now, more than ever before, is the time for...
For more on the SLIDE algorithm check out the podcast that inspired this article—[TWIML AI Podcast #355 with Beidi Chen]. The conversation goes deeper into the team’s work on locality-sensitive hashing. Graphics Processing Units (GPUs) have become the accepted industry standard for training deep learning models. While the raw compute power of GPUs has eclipsed...
For more on the latest advancements in reinforcement learning, check out the podcast that inspired this article—[TWIML AI Podcast #355 with Sergey Levine]. In addition to discussing his team’s work on off-policy reinforcement learning, he also updates us on their efforts in model-based and causal RL. Typically, reinforcement learning involves an agent that interacts with...
Last November, Sam had the pleasure of sitting down for a conversation with Ville Tuulos, Manager of Machine Learning Infrastructure at Netflix. They spoke just hours after he announced the open-sourcing of their Python library, Metaflow. At the time, we’d planned to launch a new video series called TWIML Democasts as a way to walk...
Recently, the fine folks at Technology Review released their annual list of “Breakthrough Technologies,” highlighting 10 areas of tech they see having a real impact on the world in the near future. Well, we see your list, and we raise you one of our own! We took a closer look at the topics as they...
Recently we kicked off a study group to work through the AI Enterprise Workflow sequence of courses created by IBM and on Coursera. Each of the courses in the six course series is two weeks long, and we just completed the second week of the first course. In this post we’ll recap some of the...
Getting to Know Joseph Soriaga Before the deep learning revolution began, Joseph was studying computing information theory, working to use belief propagation to achieve Shannon capacity in wireless networks, which basically means he was trying to optimize the way information was transmitted and received. “The trick was trying to find the right graphical model for...
Hi Everyone, Happy New Year! TL;DR: I’m excited to announce a couple of new study group offerings in conjunction with our ever-expanding array of TWIML Community programs. One is focused on causality and the other on enterprise AI workflows. We’re collaborating with research scientist and instructor Robert Ness to bring his course sequence, Causal Modeling...
Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s not too late to join us, which you can do by visiting...
Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s not too late to join us, which you can do by visiting...
Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s not too late to join us, which you can do by visiting...
We’ve got an amazing TWIMLcon agenda taking shape for you! We’ll be announcing speakers and more agenda details shortly, but in the meantime I wanted to share a preview of some of the keynote interviews we’ve got planned. I’m super pumped about them! TWIMLcon: AI Platforms will feature live “keynote interview” podcast recordings with accomplished...
A few weeks ago I had the opportunity to visit Siemens’ Spotlight on Innovation event in Orlando, Florida. The event aimed to bring together industry leaders, technologists, local government leaders, and other innovators for a real-world look at the way technologies like AI, cybersecurity, IoT, digital twin, and smart infrastructure are helping businesses and cities...
Bits & Bytes Microsoft open sources Bing vector search. The company published its vector search toolkit, Space Partition Tree and Graph (SPTAG) [Github], which provides tools for building, searching and serving large scale vector indexes. Intel makes progress toward optical neural networks. A new article on the Intel AI blog (which opens with a reference...
Today is a very special day! We’re celebrating the third (!!!) birthday of your favorite ML and AI podcast! It’s been a truly amazing experience bringing you the podcast every week, and I’m more appreciative than ever of you, our listeners, and the amazing community we’ve built around the show. From the entire TWIML team,...
Bits & Bytes Google releases MorphNet as open source. Detailed in a paper released last year, MorphNet takes an existing neural network as input and produces a new neural network that is smaller, faster and yields better performance tailored to a new problem. A new open source TensorFlow implementation is now available. Facebook research creates...
Bits & Bytes Google scraps controversial AI ethics council days after it was announced. Google has shuttered its new artificial intelligence ethics council, a little more than a week after announcing it, in large part due to employee reactions to the appointment of a conservative think tank leader to the group. WIPO launches AI-based image...
Bits & Bytes AWS offers Nvidia’s Tesla T4 chip for AI inference. The new EC2 instances, with Tesla T4 GPUs, will provide AWS customers with a new option for reduced-cost AI inference. T4 will also be available through the Amazon Elastic Container service for Kubernetes. Qualcomm launches new, AI-enabled smart speaker platform. The new Qualcomm...
In conjunction with the TensorFlow 2.0 alpha release, and our TensorFlow Dev Summit series, we invite you to enter our TensorFlow Edge Kit Giveaway. Winners will receive a gift box from Google that includes some fun toys including the new Coral Edge TPU device and the SparkFun Edge development board powered by TensorFlow. The giveaway...
Bits & Bytes Google announces TensorFlow 2.0 Alpha, TensorFlow Federated, TensorFlow Privacy. At the 3rd annual TensorFlow Developer Summit, Google announced the first alpha release of TensorFlow 2.0 and several other new releases such as: TensorFlow Federated – a new open-source framework that allows developers to use all the ML-training features from TF while keeping...
Enter to win a FREE ticket to O’Reilly’s AI Conference in New York April 17-18th! Participate in one of the most highly renowned AI conferences of the year, joined by a number of industry leaders and speakers such as Matt Zeiler, Christopher Ré, and Lise Geetor. The giveaway will remain open until April 1st, so...
Sam Charrington: Today we’re excited to present the final episode in our AI for the Benefit of Society series, in which we’re joined by Mira Lane, Partner Director for Ethics and Society at Microsoft. Mira and I focus our conversation on the role of culture and human-centered design in AI. We discuss how Mira defines...
Bits & Bytes IBM takes Watson AI to AWS, Google, Azure. In an effort to broaden the distribution of its AI technology, IBM announced that it is making IBM Watson available across competing public cloud services such as AWS, Google, and Azure. FAIR open-sources new ELF OpenGo data set, research, and insights. Facebook AI Research...
Sam Charrington: Today we’re excited to continue the AI for the benefit of society series that we’ve partnered with Microsoft to bring to you. Today we’re joined by Hanna Wallach principal researcher at Microsoft research. Hanna and I really dig into how bias and a lack of interpretability and transparency show up across machine learning....
Sam Charrington: Today we’re excited to continue the AI for the Benefit of Society series that we’ve partnered with Microsoft to bring you. In this episode. We’re joined by Peter Lee, Corporate Vice President at Microsoft Research responsible for the company’s healthcare initiatives. Peter and I met a few months ago at the Microsoft ignite...
Talk 228 – AI for Earth Interview Transcript Sam Charrington: Today’s episode is part of a series of shows on the topic of AI for the benefit of society, that were excited to have partnered with Microsoft to produce. In this show, we’re joined by Lucas Joppa and Zach Parisa. Lucas is the chief environmental...
Bits & Bytes Facebook and Google researchers build RL framework to study language evolution. Their research paper proposes a computational framework allowing agents to interact in a series of games and uses it to demonstrate that symmetric communication protocols (i.e. languages) emerge and evolve without any innate, explicit mechanisms built in the agent. Google releases...
Talk 227 – AI for Accessibility Interview Sam Charrington: [00:00:00] Today we’re joined by Wendy Chisholm, Lois Brady and Matthew Guggemos. Wendy is a principal accessibility architect at Microsoft and one of the chief proponents of the AI for Accessibility program, which extends grants to a high-powered accessibility projects within the areas of employment daily life...
Talk 226 – MSFT AI for Humanitarian Action Interview Transcript Sam Charrington: [00:00:00] Today’s episode kicks off a series of shows on the topic of AI for the benefit of society that we’re excited to have partnered with Microsoft to produce. In this show, we’re joined by Justin Spelhaug, General Manager of Technology for Social Impact...
Bits & Bytes Google introduces Feast: an open source feature store for ML. GO-JEK and Google announced the release of Feast that allows teams to manage, store, and discover features to use for ML projects. Amazon CEO, Jeff Bezos, is launching a new conference dedicated to AI. The new AI specific conference, re:MARS, will be...
Bits & Bytes Microsoft leads the AI patent race. As per EconSight research findings, Microsoft leads the AI patent race going into 2019 with 697 patents that the firm classifies as having a significant competitive impact as of November 2018. Out of the top 30 companies and research institutions as defined by EconSight in their recent analysis,...
Happy New Year! I’ve spent the week at CES in Las Vegas this week, checking out a bunch of exciting new technology. (And a bunch of not-so-exciting technology as well.) I’ll be writing a bit more about my experiences at CES on the TWIML blog, but for now I’ll simply state the obvious: AI was front and center...
Bits & Bytes IBM, Nvidia pair up on AI-optimized converged storage system. IBM SpectrumAI with Nvidia DGX, is a converged system that combines a software-defined file system, all-flash storage, and Nvidia’s DGX-1 GPU system. The storage system supports AI workloads and data tools such as TensorFlow, PyTorch, and Spark. Google announces Cloud TPU Pods, availability in alpha. ...
A couple of weeks ago I spent the week in Las Vegas at the Amazon Web Services (AWS) re:Invent conference, and we shared a few of my interviews from the event in our AWS re:Invent Series. I’ll share a bit of the news coming out of the event in this post, but if you’re interested...
On Friday we published episode number 200 of the TWIML Talk podcast. That achievement, along with the fact that tomorrow is Thanksgiving here in the U.S., seems like a worthy prompt for a bit of, well, giving thanks. When I think of giving thanks today, there is a growing list of groups that I really...
Bits & Bytes Google Cloud first to offer Tesla T4 GPUs. The NVIDIA Tesla T4 instances are currently available in alpha. They target ML inference, distributed training of models, and computer graphics workloads. Intel unveils Neural Compute Stick 2. Intel announced an update to the Movidius Neural Compute Stick focused on AI at the network edge. The Intel NCS...
“AI Platforms Month” continues on the podcast with our in-depth coverage of scaling machine learning in the enterprise. I’m super-excited about what we’ve done here, and I really hope you’re enjoying it! If you’ve been following the series, you’ve already heard great interviews with folks from Facebook, Airbnb, and OpenAI. The back end of the...
Bits & Bytes AWS introduces Amazon SageMaker Object2Vec. Entity embeddings are a powerful technique gaining traction among many ML users. With its new Object2Vec algorithm, AWS aims to make creating them more accessible for SageMaker users. Object2Vec is a highly customizable multi-purpose algorithm that can learn low-dimensional dense embeddings of high dimensional objects. Microsoft develops flexible...
