DevOps company JFrog's stock closed above $64 per share, up 47% from its opening of $44, raising $509M from its IPO and valuing the company at about $4B — JFrog (FROG) stock jumped by double digits as trading began Wednesday, raising $509 million with an initial public offering …
Sources: as part of its proposal to the Trump admin, Oracle would get full access to TikTok's source code and updates to search for back doors from ByteDance — - Administration officials say concerned about ByteDance control — Trump says he'll be briefed on TikTok-Oracle deal on Thursday
AT&T says it is considering offering wireless phone plans partially subsidized by advertising as soon as a year from now — (Reuters) - AT&T Inc is considering offering wireless phone plans partially subsidized by advertising as soon as a year from now, Chief Executive John Stankey said in an interview on Tuesday.
Amazon Personalize is a machine learning (ML) service that enables you to personalize your website, app, ads, emails, and more with private, custom ML models that you can create with no prior ML experience. We’re excited to announce the general availability of Amazon Personalize in the EU (Frankfurt) Region. You can use Amazon Personalize to create higher-quality recommendations that respond to the specific needs, preferences, and changing behavior of your users, improving engagement and conversion. For more information, see Amazon Personalize Is Now Generally Available.
To use Amazon Personalize, you need to provide the service user interaction(events) data (such as page views, sign-ups, purchases etc.) from your applications, along with optional user demographic information (such as age, location) and a catalog of the items you want to recommend (such as articles, products, videos, or music). This data can be provided via Amazon S3 or be sent as a stream of user events via a JavaScript tracker or a server-side integration (learn more). Amazon Personalize then automatically processes and examines the data, identifies what is meaningful, and trains and optimizes a personalization model that is customized for your data. You can then easily invoke Amazon Personalize APIs from your business application and fetch personalized recommendations for your users.
Learn how our customers are using Amazon Personalize to improve product and content recommendations and for targeted marketing communications.
For more information about all the Regions Amazon Personalize is available in, see the AWS Region Table. Get started with Amazon Personalize by visiting the Amazon Personalize console and Developer Guide.
Vaibhav Sethi is the Product Manager for Amazon Personalize. He focuses on delivering products that make it easier to build machine learning solutions. In his spare time, he enjoys hiking and reading.
Amazon Personalize is a machine learning (ML) service that enables you to personalize your website, app, ads, emails, and more with private, custom ML models that you can create with no prior ML experience. We’re excited to announce the general availability of Amazon Personalize in the EU (Frankfurt) Region. You can use Amazon Personalize to create higher-quality recommendations that respond to the specific needs, preferences, and changing behavior of your users, improving engagement and conversion. For more information, see Amazon Personalize Is Now Generally Available.
To use Amazon Personalize, you need to provide the service user interaction(events) data (such as page views, sign-ups, purchases etc.) from your applications, along with optional user demographic information (such as age, location) and a catalog of the items you want to recommend (such as articles, products, videos, or music). This data can be provided via Amazon S3 or be sent as a stream of user events via a JavaScript tracker or a server-side integration (learn more). Amazon Personalize then automatically processes and examines the data, identifies what is meaningful, and trains and optimizes a personalization model that is customized for your data. You can then easily invoke Amazon Personalize APIs from your business application and fetch personalized recommendations for your users.
Learn how our customers are using Amazon Personalize to improve product and content recommendations and for targeted marketing communications.
For more information about all the Regions Amazon Personalize is available in, see the AWS Region Table. Get started with Amazon Personalize by visiting the Amazon Personalize console and Developer Guide.
Vaibhav Sethi is the Product Manager for Amazon Personalize. He focuses on delivering products that make it easier to build machine learning solutions. In his spare time, he enjoys hiking and reading.
Sources: teens are being paid by conservative youth org Turning Point Action to promote pro-Trump posts on Twitter and Facebook; Twitter suspended ~20 accounts — One tweet claimed coronavirus numbers were intentionally inflated, adding, “It's hard to know what to believe.” Another warned, “Don't trust Dr. Fauci.”
Spotify calls on authorities to restrict “Apple's anti-competitive behavior”; Apple says alternatives to its services exist, bundling can save customers money — Spotify released a public statement after Apple's Time Flies event to protest the newly announced Apple One bundle …
Courier, which offers an API that helps developers add multichannel user notifications to their apps, raises $10.1M Series A led by Bessemer Venture Partners — Courier is an API platform with a no-code twist that helps developers add multichannel user notifications to their applications.
Swedish online payments startup Klarna raises $650M led by Silver Lake Partners, valuing the company at $10.6B — - Klarna nearly doubled its prior valuation in the new $650 million round, led by Silver Lake Partners, from $5.5 billion to $10.6 billion. — Known for its “buy now …
The Trump administration, in a filing, says that Trump's EO on a TikTok ban will not hinder the company from paying salaries to its employees in the country — An executive order banning TikTok from the US won't affect employees' paychecks, the Trump administration said Monday in a court filing.
In an updated S-1 filing, Snowflake raises its expected IPO price by around 30% which would value the company between $27.7B-$30.5B compared to $20.9B-$23.7B — - Snowflake raised its estimated IPO price by around 30% in a new S-1 filing Monday. — Snowflake now expects to IPO …
Sources: Gojek and Grab have resumed talks for a merger at the behest of shareholders including SoftBank, after Masayoshi Son threw his weight behind a deal — South-east Asia's biggest start-ups consider merger as coronavirus lockdowns hit business — Gojek and Grab, south-east Asia's …
US Customs seized a shipment of OnePlus Buds thinking they were counterfeit Apple AirPods — Well this is awkward — In a truly bizarre situation that I'm still trying to wrap my head around, US Customs and Border Protection tonight tweeted that its officers had “recently seized 2,000 …
AI-based drug discovery company Recursion raises $239M Series D and partners with pharma giant Bayer to develop new treatments for fibrotic diseases — Startups that want to leverage artificial intelligence in drug discovery are a dime a dozen in today's biotech landscape.
Analysis of Nvidia's purchase of Arm, which will impact nearly every chip market segment, with statements from NVIDIA CEO Jensen Huang and Arm CEO Simon Segars — I talked today with NVIDIA CEO Jensen Huang and Arm CEO Simon Segars on the largest and what I consider the most important semiconductor acquisition- ever.
Source: Oracle has won the bidding for the US operations of TikTok as a “trusted tech partner”; the deal will likely not to be structured as an outright sale — Deal is likely not to be structured as an outright sale — Oracle Corp. won the bidding for the U.S. operations …
NVIDIA founder and CEO Jensen Huang sent the following letter to NVIDIA employees today:
Hi everyone,
Today, we announced that we have signed a definitive agreement to purchase Arm.
Thirty years ago, a visionary team of computer scientists in Cambridge, U.K., invented a new CPU architecture optimized for energy-efficiency and a licensing business model that enables broad adoption. Engineers designed Arm CPUs into everything from smartphones and PCs to cloud data centers and supercomputers. An astounding 180 billion computers have been built with Arm — 22 billion last year alone. Arm has become the most popular CPU in the world.
Simon Segars, its CEO, and the people of Arm have built a great company that has shaped the computer industry and nearly every technology market in the world.
We are joining arms with Arm to create the leading computing company for the age of AI. AI is the most powerful technology force of our time. Learning from data, AI supercomputers can write software no human can. Amazingly, AI software can perceive its environment, infer the best plan, and act intelligently. This new form of software will expand computing to every corner of the globe. Someday, trillions of computers running AI will create a new internet — the internet-of-things — thousands of times bigger than today’s internet-of-people.
Uniting NVIDIA’s AI computing with the vast reach of Arm’s CPU, we will engage the giant AI opportunity ahead and advance computing from the cloud, smartphones, PCs, self-driving cars, robotics, 5G, and IoT.
NVIDIA will bring our world-leading AI technology to Arm’s ecosystem while expanding NVIDIA’s developer reach from 2 million to more than 15 million software programmers.
Our R&D scale will turbocharge Arm’s roadmap pace and accelerates data center, edge AI, and IoT opportunities.
Arm’s business model is brilliant. We will maintain its open-licensing model and customer neutrality, serving customers in any industry, across the world, and further expand Arm’s IP licensing portfolio with NVIDIA’s world-leading GPU and AI technology.
Arm’s headquarter will remain in Cambridge and continue to be a cornerstone of the U.K. technology ecosystem. NVIDIA will retain the name and strong brand identity of Arm. Simon and his management team are excited to be joining NVIDIA.
Arm gives us the critical mass to invest in the U.K. We will build a world-class AI research center in Cambridge — the university town of Isaac Newton and Alan Turing, for whom NVIDIA’s Turing GPUs and Isaac robotics platform were named. This NVIDIA research center will be the home of a state-of-the-art AI supercomputer powered by Arm CPUs. The computing infrastructure will be a major attraction for scientists from around the world doing groundbreaking research in healthcare, life sciences, robotics, self-driving cars, and other fields. This center will serve as our European hub to collaborate with universities, industrial partners, and startups. It will also be the NVIDIA Deep Learning Institute for Europe, where we teach the methods of applying this marvelous AI technology.
The foundation built by Arm and NVIDIA employees has provided this fantastic opportunity to create the leading computing company for the age of AI. The possibilities of our combined companies are beyond exciting.
I can’t wait.
Jensen
The post Letter From Jensen: Creating a Premier Company for the Age of AI appeared first on The Official NVIDIA Blog.
Artificial intelligence is the most powerful technology force of our time.
It is the automation of automation, where software writes software. While AI began in the data center, it is moving quickly to the edge — to stores, warehouses, hospitals, streets, and airports, where smart sensors connected to AI computers can speed checkouts, direct forklifts, orchestrate traffic, and save power. In time, there will be trillions of these small autonomous computers powered by AI, connected by massively powerful cloud data centers in every corner of the world.
But in many ways, the field is just getting started. That’s why we are excited to be creating a world-class AI laboratory in Cambridge, at the Arm headquarters: a Hadron collider or Hubble telescope, if you like, for artificial intelligence.
NVIDIA, together with Arm, is uniquely positioned to launch this effort. NVIDIA is the leader in AI computing, while Arm is present across a vast ecosystem of edge devices, with more than 180 billion units shipped. With this newly announced combination, we are creating the leading computing company for the age of AI.
Arm is an incredible company and it employs some of the greatest engineering minds in the world. But we believe we can make Arm even more incredible and take it to even higher levels. We want to propel it — and the U.K. — to global AI leadership.
We will create an open center of excellence in the area once home to giants like Isaac Newton and Alan Turing, for whom key NVIDIA technologies are named. Here, leading scientists, engineers and researchers from the U.K. and around the world will come develop their ideas, collaborate and conduct their ground-breaking work in areas like healthcare, life sciences, self-driving cars and other fields. We want the U.K. to attract the best minds and talent from around the world.
The center in Cambridge will include:
We are ambitious. We can’t wait to build on the foundations created by the talented minds of NVIDIA and Arm to make Cambridge the next great AI center for the world.
The post NVIDIA and Arm to Create World-Class AI Research Center in Cambridge appeared first on The Official NVIDIA Blog.
Nvidia to buy Arm from SoftBank in a $40B deal, says it will keep Arm's HQ in UK, expand R&D facilities there, and keep Arm's open licensing business model — - Acquirer pledges to keep Arm independent to retain customers — Nvidia to build AI research facility at Arm's U.K. location
Microsoft says ByteDance has rejected its offer to take over TikTok's US operations; Oracle is the only known remaining bidder — The move leaves Oracle as the sole known remaining bidder, as the clock ticks down on President Trump's executive order to block the app.
The public's phobia of touching cash amid COVID-19 could help SoftBank popularize mobile payments in cash-addicted Japan; SoftBank has invested $1B+ in PayPay — Masayoshi Son zeros in on Japan, where he is ready to lose billions in a battle to conquer cash