Tuesday, April 6, 2021

Google Translate has been downloaded 1 billion times on the Play Store - HT Tech - Translation

Google Translate is one of the easiest translation apps to go to for quick and easy translations. And it is also free and easy to use, thus its popularity is understandable as far as downloads are concerned. 

It’s been a little more than a decade since Google Translate was introduced as an Android app (it was launched in January 2019) and over time the app has been updated with a whole bunch of new features and UI iterations.

Google Translate has reached a milestone after 11 years and three months since its release - it has crossed 1 billion downloads on the Google Play Store.

Google Translate has crossed more than 1 billion downloads on the Play Store. 
Google Translate has crossed more than 1 billion downloads on the Play Store.  (Play Store )

These more than 1 billion downloads are from users and not OEMs since the Google Translate app is not a part of the mandatory Google Mobile Services core apps package. That means that people with Google Translate on their phones all went to the Play Store and downloaded the app from there.

Given that it’s been more than a decade since Google Translate’s Android App was pushed out, this one billion figure is not surprising. However, time is not the only factor that worked in Google Translate’s favour. There are literally no other translation apps, free or paid, that can wholly trump Google Translate and it continues to sport a 4.5 star rating on the Play Store. 

Google Translate currently supports 109 languages as of now along with support for pronunciation, transcription, offline translation, camera translation, dark mode etc and Google is also constantly adding more features to it. 

Italian LSPs Yellow Hub and TDR Translation Company Merge - Slator - Translation

Italian LSPs Yellow Hub and TDR Translation Company Merge

Milan, Italy, 6 April 2021 – Yellow Hub and TDR Translation Company, leading LSPs in Italy, have merged redefining the landscape of the language services industry in Italy. The new company, Yellow Hub TDR, now ranks among the top 15 translation companies in the country. Giuliana Masolo, President at Yellow Hub TDR, told Slator that the deal closed on March 23, 2021. 

The merger will bring 2021 revenues of the combined company to over EUR 4m and a total of 25 full-time staff members. Giuliana said, “We’ve merged two leading LSPs and successfully created a new major player in the Italian language services market, which is very fragmented. Right now, our growth strategy moving forward prioritizes investments in technology and innovation. We know that’s the only way to attract top talent and offer the kind of solutions our clients are looking for.” 

The completion of the post-merger integration, however, will carry on in the following months, which is when Yellow Hub TDR expects to have successfully rebranded and updated all digital touchpoints with its new visual identity.

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Advising both firms was Roberto Ganzerli, M&A Advisor and Managing Director at LSP Growth.

The Perfect Fit for Both Firms

Apart from sharing the same values and business philosophy, both companies are very complementary with no overlap in terms of clients. Yellow Hub’s client base is made up mostly of manufacturing, communication, legal and financial firms, while TDR counts a mix of life sciences, patent, and fashion & luxury companies in its client portfolio. 

Aside from the wider footprint, another motivation behind the merger was to strengthen their service offering which now covers areas like multilingual SEO, audiovisual translation, and corporate language training — a dedicated business unit to support companies with training programs around language courses. 

Asked about their translation environment, Tiziana De Rosa – former Owner of TDR Translation Company – said: “We want to prioritize automated workflows as much as possible, that’s why we’ve chosen to work using a combination of Memsource and XTRF”. The company also plans to broaden the use of MT all across its production cycle and allocate further resources to innovation and technology.  

As for the impact of Covid-19 on the Italian market, Tiziana stated, “Both companies have quickly adapted to the new market conditions, achieving positive growth rates and higher revenues in 2020 compared to 2019.”

Moving forward Yellow Hub TDR plans to consolidate its market position in Italy and expand to neighboring countries. “Our vast experience with clients in the patent, life sciences, advertising, manufacturing, legal and financial sectors, make us a perfect partner for enterprises in Western Europe and the DACH region,” concluded Giuliana.

About Yellow Hub

Founded by Guliana Masolo in 1982, Yellow Hub provides translation, interpreting services, and corporate language training (www.yellowhub.it).

About TDR Translation Company

TDR Translation Company is a language service provider based in Milan, established in 1995 by Tiziana De Rosa (www.tdrtraduzioni.com).

Monday, April 5, 2021

Skill Data Dictionary: How to Use What You've Got - ATD - ATD - Dictionary

Skill data is complicated. Talking about it and researching it can help, but you’ll often find jargon, acronyms, and even conflicting ideas. Cutting through all that noise matters because understanding skill data is invaluable to your organization. To help you harness its power, we’ve simplified terminology in our three-part series, The Skill Data Dictionary (see part 1 and part 2).

Skill data is extremely versatile; you can develop future skills, find growth opportunities, identify organizational strengths and risks, and more.

To understand how to begin using skill data, first think of it like medical data. When choosing what metrics to look at and how to use medical data, you have to first identify your health goals. Are you trying to lose weight or gain muscle? Run a marathon or rehabilitate your knee? Lower your cholesterol or increase your endurance? These goals will require different (sometimes opposing) metrics and strategies.

When you identify your goals, you can begin finding and tracking the metrics that matter to you. We recommend the same approach when using skill data—allow your organizational goals to help you identify your starting point. When you have an idea of your goals, you can start pulling analytics and insights to help inform your strategy about how to reach them.

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How to Use Your Skill Data

Skill Analytics
  • Definition: Deriving meaning from collected skill data
  • Why it matters: Analytics can help you identify patterns, trends, strengths, weaknesses, and other significant indicators to raise awareness about your larger organization and your people.

Insights

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  • Definition: Inference or prediction of what comes next based on the analysis of data
  • Why it matters: Data cannot tell you how to make improvements to your existing processes. What makes the difference is the way you interpret your data, apply it to your business, and allow those patterns and indicators to help you address new challenges, opportunities, and needs in your workforce.

Reporting

  • Definition: The process of gathering and presenting an accurate analysis of the data collected
  • Why it matters: Gathering, analyzing, and pulling insights from data will not make it actionable. Learning to report and present your findings in accessible ways allows you to communicate the importance of the changes you wish to establish and demonstrate the value of skill data.

Skill Data Integration

  • Definition: Communication between tools that produce or store skill data, including human capital management systems and skill assessment tools
  • Why it matters: Skill data integration allows for a more comprehensive and accurate view of individual and organizational skill levels by pulling skill data from systems in the flow of work. It also enables “skill signals” that describe a user, offering a richer picture of their skill levels.

For more information about how to identify, generate, manage, and use your organization’s skill data, download our Skill Data Handbook.

Yann LeCun Team Uses Dictionary Learning To Peek Into Transformers' Black Boxes - Synced - Dictionary

Transformer architectures have become the building blocks for many state-of-the-art natural language processing (NLP) models. While transformers are certainly powerful, researchers’ understanding of how they actually work remains limited. This is problematic due to the lack of transparency and the possibility of biases being inherited via training data and algorithms, which could cause models to produce unfair or incorrect predictions.

In the paper Transformer Visualization via Dictionary Learning: Contextualized Embedding as a Linear Superposition of Transformer Factors, a Yann LeCun team from Facebook AI Research, UC Berkeley and New York University leverages dictionary learning techniques to provide detailed visualizations of transformer representations and insights into the semantic structures — such as word-level disambiguation, sentence-level pattern formation, and long-range dependencies — that are captured by transformers.

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Previous attempts to visualize and analyze this “black box” issue in transformers include direct visualization and, more recently, “probing tasks” designed to interpret transformer models. Probing tasks such as parts-of-speech (POS) tagging, named-entity recognition (NER) and syntactic dependency, however, are not sufficiently complex to convince researchers the results accurately reflect the true character and capacity of the studied models. Such probing tasks also fail to reveal the semantic structures of transformers beyond prior knowledge and make it difficult to pinpoint where related semantic representations are learned in transformers.

The researchers propose the use of dictionary learning, a method that can explain, improve, and visualize uncontextualized word embedding representations, to alleviate the limitations of existing transformer interpretation techniques.

The team first introduces a hypothesis regarding their method: that contextualized word embedding can serve as a sparse linear superposition of transformer factors. Previous research has shown that word embeddings can represent elementary semantic meanings. The team approaches the latent representation of words as contextualized word embeddings, and proposes that contextualized word embedding vectors can also be factorized as sparse linear superpositions of a set of elementary elements, which they term “transformer factors.”

They then adopt the convention of using input samples, which trigger the top activation of a feature, to visualize features in deep learning. Because a contextualized word vector is generally affected by many tokens in a sequence, a weight is assigned to each token to identify its relative importance to the largest sparse coefficients of contextualized word vectors.

Finally, they build a single dictionary for all transformer layers to identify low-, mid-, and high-level transformer factors with importance scores (IS), using the IS curves to determine in which layers transformer factors emerge.

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The researchers used a 12-layer pretrained BERT model for their evaluation experiments. They divided semantic meaning into three categories: word-level disambiguation, sentence-level pattern formation, and long-range dependency, generating detailed visualizations for each semantic category.

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For the low-level, word-level disambiguation, transformer factors with early IS curve peaks tended to correspond to specific word-level meanings. For example, In layer 0, the top activated word “left” has different word senses, but this becomes less ambiguous in layer 2. By layer 4, all instances of “left” are seen to correspond to the same sense.

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It is also possible to quantify the disambiguation ability quality of a transformer model to enable for example classifying sentences containing the word “left” annotated as a verb into one set, distinct from sentences containing “left” annotated as other POS.

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For mid-level, sentence-level pattern formation, the proposed method detected patterns in the consecutive usage of adjectives. The results reveal for example a pattern that starts to emerge at layer 4, continues to develop at layer 6, and becomes quite reliable at layer 8. The team concluded that most transformer factors with an IS curve that peaks after layer 6 capture mid-level or high-level semantic meanings.

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For high level, long-range dependencies, the transformer factors corresponded to linguistic patterns that span a long range in the text, with results showing the top two activated words and their contexts for each such transformer factor. The team observed that this high-level analysis contains more abstract repetitive structures, and could also use mid-level information snippets such as date of birth, first and last name, familial relations, career, etc., to form “the beginning of a biography.”

The researchers believe this simple tool could open up transformer networks, showing the hierarchical semantic representation learned from and at different stages. They have created an interactive website where users can gain additional insights into transformer models by visualizing their latent space.

The paper Transformer Visualization via Dictionary Learning: Contextualized Embedding as a Linear Superposition of Transformer Factors is on arXiv.


Author: Hecate He | Editor: Michael Sarazen


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LCMC providing translation services at mass vaccination site - WDSU New Orleans - Translation

LCMC has hired translators to staff its mass vaccination site at the convention center in New Orleans.TNOLA Languages provides the services and applauded the health care system for trying to improve access to the vaccine for all residents."We’re really appreciative of them taking efforts from the start to make sure that they had language access services being provided here on-site to ensure that all folks, regardless of their preferred language, can get access to the vaccine," said Andrew Dafoe, with TNOLA Languages.On Monday, the convention center extended its hours until 8 p.m. to encourage people who work and specifically, the Hispanic community, to get vaccinated. Dafoe helped several people navigate the process.He said he is thankful for the work after the coronavirus changed how his business operates."We had, by in large, been doing onsite interpretive services," Dafoe said. "About 95% of those kind of vanished overnight last March."Dafoe hopes for similar opportunities in the future."We’re excited to see events like this and be a part of events like this because hopefully, it means that we’re getting back to some more of that onsite work, conferences, larger events, that sort of thing," Dafoe said.

LCMC has hired translators to staff its mass vaccination site at the convention center in New Orleans.

TNOLA Languages provides the services and applauded the health care system for trying to improve access to the vaccine for all residents.

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"We’re really appreciative of them taking efforts from the start to make sure that they had language access services being provided here on-site to ensure that all folks, regardless of their preferred language, can get access to the vaccine," said Andrew Dafoe, with TNOLA Languages.

On Monday, the convention center extended its hours until 8 p.m. to encourage people who work and specifically, the Hispanic community, to get vaccinated.

Dafoe helped several people navigate the process.

He said he is thankful for the work after the coronavirus changed how his business operates.

"We had, by in large, been doing onsite interpretive services," Dafoe said. "About 95% of those kind of vanished overnight last March."

Dafoe hopes for similar opportunities in the future.

"We’re excited to see events like this and be a part of events like this because hopefully, it means that we’re getting back to some more of that onsite work, conferences, larger events, that sort of thing," Dafoe said.

Language Translation Service Market Bigger Than Expected | TransPerfect, Lionbridge, FBC Global · Wall Street Call - Reported Times - Translation

Global Language Translation Service Market Size, Status and Forecast 2021-2027  , Covid 19 Outbreak Impact research report added by Report Ocean, is an in-depth analysis of market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography. It places the market within the context of the wider Language Translation Service market, and compares it with other markets., market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, Language Translation Service market size forecast, market data & Graphs and Statistics, Tables, Bar &Pie Charts, and many more for business intelligence. Get complete Report (Including Full TOC, 100+ Tables & Figures, and Chart). – In-depth Analysis Pre & Post COVID-19 Market Outbreak Impact Analysis & Situation by Region

Download Free Sample Copy of ‘Language Translation Service market’ Report @

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Key Segments Studied in the Global Language Translation Service Market 

Language Translation Service market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Language Translation Service market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type

    Document Translation

    Patent Translation

    Real-time Interpretation

    Others

Segment by Application

    Medical

    Electronic

    Government

    Academic Research

    Other

By Company

    TransPerfect

    Lionbridge

    FBC Global

    SDL

    RWS

    Appen

    Keywords Studios

    STAR Group

    CyraCom International

    SDL

COVID-19 – Next Thoughts: In this piece, we have shared key data and numbers that shine a spotlight on the current scale of the crisis and the economic fallout.

A combination of factors, including COVID-19 containment situation, end-use market recovery & Recovery Timeline of 2020/ 2021

covid-19 scenario

Market Behavior/ Level of Risk and Opportunity

End Industry Behavior/ Opportunity Assessment

Expected Industry Recovery Timeline

Business Impact Horizon

Opening of Economy by Q3 2020

xx

xx

xx

xx

Recovery – Opening of Economy extended till Q4 2020 / Q1 2021

xx

xx

xx

xx

Under COVID-19 Outbreak Impact Analysis:
We analyzed industry trends in the context of COVID-19. We analyzed the impact of COVID-19 on the product industry chain based on the upstream and downstream markets. We analyze the impact of COVID-19 on various regions and major countries.
The impact of COVID-19 on the future development of the industry is pointed out.

Study Explore :

  • Market Behavior/ Level of Risk and Opportunity
  • End Industry Behavior/ Opportunity Assessment
  • Expected Industry Recovery Timeline

For more information or any query mail at [email protected]

Geographical Breakdown: The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the impact and recovery path of Covid 19 for all regions, key developed countries and major emerging markets.

Geographically, this report is segmented into some key Regions, with manufacture, revenue (million USD), and market share and growth rate in these regions, (forecast), covering China, USA, Europe, Japan, Korea, India, Southeast Asia & South America and its Share (%) and CAGR for the forecasted period 2019 to 2025.

In-Depth Qualitative COVID 19 Outbreak Impact Analysis Include Identification And Investigation Of The Following Aspects:

Informational Takeaways from the Market Study: The report includes the completely examined and evaluated data of the noticeable companies and their situation in the market considering impact of Coronavirus. The measured tools including SWOT analysis, Porter’s five powers analysis, and assumption return debt were utilized while separating the improvement of the key players performing in the market.

Key Development’s in the Market: This report fuses the major developments of the market that contains confirmations, composed endeavors, R&D, new thing dispatch, joint endeavours, and relationship of driving members working in the market.

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Key questions answered: Study Explore COVID 19 Outbreak Impact Analysis

The study objectives of this report are:

Important Features that are under offering & key highlights of the report:
– Detailed overview of market
– Changing market dynamics of the industry
– In-depth market segmentation by Type, Application etc
– Historical, current and projected market size in terms of volume and value
– Recent industry trends and developments
– Competitive landscape of market
– Strategies of key players and product offerings
– Potential and niche segments/regions exhibiting promising growth
– A neutral perspective towards market performance
– Market players information to sustain and enhance their footprint

The Study Explore COVID 19 Outbreak Impact Analysis

  • What should be entry strategies, countermeasures to economic impact, and marketing channels?
  • What are market dynamics?
  • What are challenges and opportunities?
  • What is economic impact on market?
  • What is current market status? What’s market competition in this industry, both company, and country wise? What’s market analysis by taking applications and types in consideration?

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Key Points Covered in Language Translation Service Market Report:

Chapter 1, About Executive Summary to describe Definition, Specifications and Classification of Language Translation Service market, Applications, Market Segment by Regions North America, Europe or Asia;
Chapter 2, objective of the study.
Chapter 3, to display Research methodology and techniques.
Chapter 4 and 5, to show the Overall Market Analysis, segmentation analysis, characteristics;
Chapter 6 and 7, to show the Market size, share and forecast; Five forces analysis (bargaining Power of buyers/suppliers), Threats to new entrants and market condition;
Chapter 8 and 9, to show analysis by regional segmentation, comparison, leading countries and opportunities; Regional Marketing Type Analysis, Supply Chain Analysis
Chapter 10, focus on identifying the key industry influencer’s, overview of decision framework accumulated through Industry experts and strategic decision makers;
Chapter 11 and 12, Market Trend Analysis, Drivers, Challenges by consumer behavior, Marketing Channels and demand & supply.
Chapter 13 and 14, describe about the vendor landscape (classification and Market Positioning)
Chapter 15, deals with Language Translation Service  Market sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

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Is it time to break out the dictionary on infrastructure? - Politico - Dictionary

With help from Gavin Bade and Alex Guillén

Editor’s Note: Weekly Transportation is a weekly version of POLITICO Pro’s daily Transportation policy newsletter, Morning Transportation. POLITICO Pro is a policy intelligence platform that combines the news you need with tools you can use to take action on the day’s biggest stories. Act on the news with POLITICO Pro.

A WORD GAME: Biden administration officials continued to pitch the president’s $2.5 trillion infrastructure plan on the Sunday morning news shows, where they were repeatedly challenged over the plan’s broad scope. Fox News’ Chris Wallace and White House National Economic Council Director Brian Deese sparred over whether hundreds of billions of dollars for housing and elderly and disabled care — which Wallace likened to “a social program” — belonged in an infrastructure proposal. ”Well, look, I think we really need to update what we mean by infrastructure for the 21st century,” Deese said.

Likewise: Transportation Secretary Pete Buttigieg similarly defended the administration’s vision on ABC’s “This Week” after Sen. Roy Blunt (R-Mo.) suggested on the program (as well as on “Fox News Sunday”) that Democrats would have a better chance of winning bipartisan support if they narrowed the focus to what has been considered traditional infrastructure and away from areas like electric vehicles. And then “the other 70 or so percent of the package that doesn’t have very much to do with infrastructure, if you want to force that in a partisan way, you could still do that,” he said.

Buttigieg’s response to Blunt: Infrastructure is about more than roads and bridges, he said. He added that he would work to try to convince Blunt that “electric vehicle charging infrastructure is absolutely a core part of how Americans are going to need to get around in the future.”

Further opposition: Sen. Roger Wicker (R-Miss.) also blasted the administration’s proposed corporate tax hike to fund the plan on NBC’s “Meet the Press.” “What the president proposed this week is not an infrastructure bill, it’s a huge tax increase,” he said. “How could the president expect to have bipartisanship when his proposal is a repeal of one of [Republicans’] signature issues in 2017?”

IT’S MONDAY: You’re reading Morning Transportation, your guide to what Washington’s doing on planes, trains, cars and everything that moves. MT would love to hear your tips, pitches and feedback about the next four years. Get in touch at [email protected] or @samjmintz.

“Since he went away the blues walked in and met me / If he stays away, old rocking chair will get me / All I do is pray the Lord above will let me walk in the sun once more.”

A message from SEIU:

President Biden is investing $400 billion in care workers — largely women of color & immigrants working on the frontlines of this pandemic. We have a once-in-a-generation opportunity to create millions of sustainable union care jobs of the future. It’s time for Congress to pass President Biden’s jobs plan! Learn more

THE ROAD AHEAD: When handicapping the chances that President Joe Biden’s infrastructure plan passes Congress, it’s important to make the distinction between “a bill” getting through and “this bill,” said Peter Rogoff, a former high-ranking DOT official and longtime Hill staffer who is now the CEO of Sound Transit in Seattle.

“This bill as proposed is incredibly bold, incredibly transformative,” Rogoff said Friday on a webinar put on by JTR Strategies. “I think it hits all of the right buttons on what some people think are ancillary issues to transportation, but are really quite relevant, especially as it relates to climate change, and things like housing and equity.” But he said that the bill is likely to face “a lot of headwinds” in Congress, which we’re already starting to see signs of, and that passing such a bill is a “big if.” He advised the Biden administration to take the case out of the Beltway. “You’re not going to win this argument in Washington, D.C. You’re going to win it out in America.”

Rogoff also said he hopes that “not everything is negotiable” as Biden’s team gets ready to wheel and deal. And he pointed to a remarkable sentence in the bill that’s gone under the radar: "Every dollar spent on rebuilding our infrastructure during the Biden administration will be used to prevent, reduce, and withstand the impacts of the climate crisis."

RED LIGHT, GREEN LIGHT: The CDC updated its guidance for vaccinated Americans on Friday, saying that it’s safe for them to resume travel — but continued to recommend that it be avoided, citing the latest surge in cases. “We must balance this guidance with the fact that most Americans are still not vaccinated," said CDC director Rochelle Walensky, according to POLITICO’s Erin Banco.

On the surface, the agency’s statements could be interpreted as contradictory. But POLITICO health reporter David Lim summed up the logic neatly on Twitter: “Societal risk and individual risk are different. Travel is a low risk activity for fully vaccinated people. BUT inherently travel creates more interactions between people, including the not vaccinated public. So CDC is urging the public to not travel yet.”

The airline and travel industries have been waiting (and pushing) for this step. The U.S. Travel Association called the new guidance “a major step in the right direction that is supported by the science and will take the brakes off the industry that has been hardest hit by the fallout of COVID by far.” And Airlines for America had a similar reaction, noting that the industry is “especially pleased that the CDC study confirms those who are fully vaccinated are unlikely to transmit COVID-19 to others.”

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SHOW ME THE MONEY: Our Tanya Snyder took a deep dive into how Amtrak is hoping to spend some of the $80 billion Biden proposed for rail in his infrastructure plan. Amtrak has been heavily promoting its ambitious cross-country expansion plan since the administration’s proposal was unveiled since last week and launched a new Twitter account for a new Amtrak Connects US marketing campaign Friday. Biden has yet to say just how much he wants to go to Amtrak, but the plan expressly says part of the money should be used to help Amtrak catch up on its $40 billion backlog of repairs, as well as for improvements along the Northeast Corridor and to “juice its most successful routes, among others,” Tanya writes.

Big dreams: But Amtrak has even more in mind, like serving 15 additional states with 30 or more new routes and increasing service on existing routes. “I think they’re reminding the White House and Congress, ‘Hey we are a receptacle for these funds, and we’re ready to spend it efficiently and quickly should the need arise,’” said Sean Jeans-Gail, vice president for policy and government affairs at the Rail Passengers Association. And Democrats can make changes to Amtrak’s existing programs to “expand the rail network” through the budgetary reconciliation process that they will likely have to use to get the funding enacted, he added.

ZERO TOLERANCE: Amtrak fired an employee who participated in the Jan. 6 Capitol riot, according to Amtrak’s inspector general. “A company trackman was terminated from employment on March 31, 2021, after our investigation found he violated Amtrak policies by not reporting for his assigned shift thereby failing to attend to his duties, and by participating in the unauthorized entry of the Capitol building on January 6, 2021,” according to an investigative summary.

DIFFERENCES: The Federal Transit Administration has been slower to disburse CARES Act funds to rural and tribal communities than urban areas, Tanya reported. FTA officials said during a webinar Friday that the agency had disbursed 72 percent of funding to urbanized areas as of March 26. However, just 33 percent of the funds designated for rural areas and 26 percent of funds for tribal communities has been paid out, they said.

NO EASY CHOICES: Biden this week must decide whether to overturn an International Trade Commission decision that threatens to derail his dream of kick-starting the electric vehicle economy in the U.S., POLITICO's Gavin Bade reports. The ITC in February ruled that battery maker SK Innovation misappropriated trade secrets from rival South Korean firm LG Chem. SK says that if Biden does not overturn the decision by April 11, it will likely have to halt work on a $2.6 billion factory in Commerce, Ga.

Rock and a hard place: If Biden decides to overturn the decision, SK could finish the factory and he could brag about saving thousands of jobs in a key swing state. But it also would undermine intellectual property laws that the U.S. supports. And it would come as Biden resists calls from progressive lawmakers and activists to waive intellectual property restrictions on Covid-19 vaccines.

TAILPIPE LITIGATION PUT IN PARK: Despite procedural objections from states and environmentalists, the D.C. Circuit Court of Appeals on Friday granted the Biden administration's request to pause litigation over federal auto emissions and fuel economy standards. That will give the agencies time to rewrite the SAFE Vehicles rule that significantly scaled back federal tailpipe standards. The first status update from EPA and the National Highway Traffic Safety Administration is due to the court July 1 — the same month in which Biden has directed the agencies to issue a proposed revision.

Waymo CEO John Krafcik is stepping down, the company announced Friday. He will be replaced by Dmitri Dolgov and Tekedra Mawakana, who will serve as co-CEOs. Dolgov was previously Waymo’s chief technology officer, while Mawakana was the company’s chief operating officer.

— “Logjam deepens at the world's ports as pandemic strikes shipping.” AFP.

— “What the U.S. can learn from China‘s infatuation with infrastructure.“ The Wall Street Journal.

— “Travel is coming back. That‘s great news for airport stores.” CNN.

— “Biden's green energy plans clash with pledge to create union jobs.” POLITICO.

— “Wreckage of helicopter crash that killed 5 found on glacier.” The Associated Press.

— “A maglev would be a speedy option over protected land. But research and wildlife might suffer.” The Washington Post.

A message from SEIU:

President Biden’s plan to invest $400 billion in essential care infrastructure is a commitment to America’s future. It means millions of good union jobs for women of color and immigrant workers. It means accessible and affordable home care for all families — so our parents, grandparents and people with disabilities can live at home with dignity and independence. It means thriving, resilient communities.

Congress must meet the president’s commitment to invest in care infrastructure and care workers as a cornerstone of the American economy. Learn more and join us!