research scientist yahoo

Research Areas

Yahoo research.

Applied Science and Fundamental Research

At Yahoo Research, we address unique challenges which require customized solutions that match our data scale and requirements. While crafting applications impacting millions, we actively contribute to and drive advancements in the scientific community. Our interests span various domains, including:

Advertising Science

We combine our immense trove of data with tools from large-scale machine learning, statistical modeling, feedback control, and more to develop the high-performing and robust algorithms that drive impression allocation and ad serving. including machine learning, statistics, operations research, economics, mathematics, control theory, etc. Some representative areas of work are: click and conversion prediction, viewability and video completion prediction, incremental reach optimization, campaign budget spend pacing, bidding strategies, supply path optimization, app marketing optimization, and optimization and performance measurement on internet traffic with privacy-driven restricted user traceability.

Generative AI

Our interdisciplinary team works tirelessly to pioneer inventive solutions to bring Generative AI to our customers. Through research and development, we architect cutting-edge algorithms and systems, including query generation, synthetic data generation, metadata enrichment, and multi-modal detection.

Image & Video Understanding

We research and innovate in image and video understanding, including object recognition, augmented-reality, visual aesthetics, and creativity. Our work directly impacts many of our flagship products and platforms by powering core technologies such as video highlights, labeling and summarization, and search by visual content.

Information Retrieval

We handle a lot of text: from mail and news, to travel reviews, user comments, and the whole web. Finding information and answers in them requires machine learning, natural language understanding and large-scale data processing.

Knowledge Graphs

As a team of research scientists and engineers, we develop methods and systems to extract, organize and enrich information about entities. Particularly, we extract information about entities from various sources of structured and unstructured data, integrate this information into large normalized knowledge graphs that contain billions of facts about millions of interconnected entities, and utilize these resulting knowledge graphs to create or enhance products and services across Yahoo, particularly for Web Search and Commerce use cases.

Machine Learning

Machine Learning is core to our products. Our researchers and engineers develop and deploy large scale ML and deep learning algorithms on one of the largest grid computing platforms in the world. We process over 100 billion daily user activities and over 200 billion daily ad requests over our global media and advertising networks.

Metrics and User Engagement

Metrics and User Engagement researchers collaborate across product teams to define metrics for experimentation, user engagement, and product success. We use data-driven user understanding methods to enable optimization of products through experimentation, and guide product development by using large-scale data in deep, grounded analysis.

Natural Language Understanding

Natural Language Understanding (NLU) encompasses statistical natural language understanding, dialogue planning, and understanding across multiple turns. We leverage language models to power classification, extraction, summarization, and dialogue management

We tackle a broad spectrum of security challenges, including cybersecurity, privacy concerns, ethical considerations, and the impact of emerging technologies on society. Our researchers develop robust encryption techniques, intrusion detection systems, and access controls to fortify digital infrastructures against cyberattacks and data breaches.

Time Series Analysis & Forecasting

Our research and engineering team develop sophisticated mathematical models and algorithms to analyze historical data, uncover trends, seasonality, and dependencies, and make accurate predictions about future trends or values. We uncover financial insights to power products on Yahoo! Finance and detect popular trends to facilitate Yahoo! News and Search.

User Modeling and Personalization

Personalization is the science of developing user models to anticipate the interaction each user will have with a product. We look for ways in which personalization can be used within real-time experiences on mobile devices with rich context. Key problems in this area include contextual profiling, context-based intent prediction, personalized recommendations, and real-time federated search.

Yahoo Research also explores unconventional ideas, niche domains, and interdisciplinary intersections that push the boundaries of technological innovation. Some notable examples are (but not limited to) Data Sketches and Search Monetization & Econometrics.

Publications

Read the latest Publications by our Yahoo Research team.

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Yahoo’s New Research Model

By Yoelle Maarek, Vice President of Research

Recently we announced our efforts to make Yahoo a more focused company. This focus will let us accelerate the pace of innovation to make our products even better. We saw these changes as an opportunity to better align our research efforts, while preserving Yahoo’s culture of exploration and inquiry. As a result, we are reorganizing Yahoo Labs and moving forward with a new approach to research at Yahoo.

Our new approach is to integrate research teams directly into our product teams in order to produce innovation that will drive excellence in those product areas. We will also have an independent research team that will work autonomously or in partnership with product partners. The integrated and independent teams, as a whole, will be known as Yahoo Research. Yahoo Research will drive the company’s scientific efforts, look to the future, think out of the box, and be responsible for pushing the frontiers of the consumer internet. I will lead the independent research team, and together with Ben Shahshahani and the other integrated product research partners, will guide our research activities across the company.

Without a centralized Labs organization, Yahoo’s Chief Scientist, Head of Labs, and my mentor, Ron Brachman, and my fellow VP of Research and friend, Ricardo Baeza-Yates, will be leaving the company. They have shaped much of the scientific innovation at Yahoo and leave behind a legacy that will continue to guide us as we stretch the boundaries of innovation. We cannot thank them enough for their outstanding contributions to Yahoo.

Over the past decade, Yahoo’s scientists have built a strong relationship with the global community of researchers and academics. Our commitment there remains unhindered. We will continue to publish scholarly works, participate in global scientific fora, and share our research around Yahoo-related findings that can benefit the larger community on our soon-to-be-relaunched website, research.yahoo.com.

As we focus efforts across the company, our research scientists will, more than ever, be an invaluable resource to Yahoo and remain meaningful contributors to the global research community. We are thrilled to take on a new approach in which we will play an even more significant role and have the opportunity to innovate and help lead Yahoo toward a thriving future.

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Research Scientist

Us - united states of america, full time usd 128k - 266k.

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Posted 1 week ago

A Little About Us The Consumer Research team at Yahoo has a direct impact on the quality of various products and services at Yahoo including: Yahoo Mail, Yahoo’s Home Page, Yahoo News, Yahoo Finance, Yahoo Sports, Yahoo Search, Yahoo Advertising, and others. Our team within research engineering provides solutions and technologies in machine learning for recommendation and personalization, information extraction, knowledge graph construction and management. 

The Search and Recommendation Research team is under the Consumer Research team at Yahoo. We are researchers who work across organizational boundaries to apply and advance state-of-the-art machine learning techniques in areas such as search, recommendation and personalization. The team pioneers and provides solutions and technologies in AI and machine learning. The team’s work has a direct impact on the quality of various products and services at Yahoo including Yahoo Search, Yahoo Home Page, Yahoo News, Yahoo Finance, Yahoo Sports, and others.

A Lot About You

As a Research Scientist in the Consumer Research team, you will apply and advance state-of-the-art machine learning techniques in areas such as personalization and ranking, information extraction, and information retrieval.

Responsibilities:

Identify, scope, and formulate new problems

Review state-of-the-art approaches, explore new ones, propose appropriate solutions

Design metrics and experiments to analyze problems and measure results

Prototype and evaluate effective solutions based on agreed-upon goals and metrics

Work and communicate effectively with engineering partners to put research results into action

Provide thought leadership to guide the direction of products and services

Generate intellectual property with patent applications and publications at relevant forums

Stay current on state-of-the-art research and emerging technologies in related disciplines

Maintain world-class credentials through publications, collaborations, and service to the research community

Requirements:

Masters or Ph.D. in Computer Science, Electrical Engineering, Statistics, or Applied Math

Expertise in machine learning, AI, web mining and natural language processing

Experience in information extraction, knowledge management, information retrieval or related field

Advanced programming skills in languages such as Java, Scala, Python or similar

Experience with collaborative research, as evidenced through solid publications

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form ( www.yahooinc.com/careers/contact-us.html ) or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

At Yahoo, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion ( www.yahooinc.com/diversity/ ) page to learn more.

Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements. 

If you’re curious about how this factors into this role, please discuss with the recruiter.

Currently work for Yahoo? Please apply on our internal career site.

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Tags: Computer Science Engineering Finance Java Machine Learning Mathematics NLP Python Research Scala Statistics

Perks/benefits: 401(k) matching Career development Equity / stock options Flex hours Flex vacation Parental leave Salary bonus Team events

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Yahoo lawsuit alleges employee stole trade secrets upon receiving Trade Desk job offer

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By Kendra Barnett, Associate Editor

May 19, 2022 | 8 min read

Listen to article 4 min

Yahoo alleges that a former employee stole valuable intellectual property when he downloaded approximately 570,000 pages of proprietary source code, advertising algorithms and internal documents upon securing a job offer from The Trade Desk, a direct competitor of Yahoo’s advertising technology arm.

Yahoo is suing a former employee for stealing about 570,000 pages of internal documents and intellectual property / Adobe Stock

Yahoo Ad Tech, together with Oath Holdings – a financial subsidiary of Yahoo Inc – are suing a former employee for allegedly stealing trade secrets upon receiving a job offer from a competitor.

The civil lawsuit, filed in a Fairfax, Virginia circuit court on April 29, claims that Qian Sang, who previously served as senior research scientist at the company, stole proprietary information about Yahoo AdLearn. Yahoo AdLearn is essentially the technological backbone of the organization’s demand-side platform (DSP) – a digital marketplace enabling real-time ad buying.

“In the minutes after receiving a job offer from a direct industry competitor, Sang downloaded on to personal devices more than 500,000 files including data consisting of source code, backend advertising architecture, algorithms that control ad placement and associated earnings tracking on the Yahoo Demand Side Platform ... and strategy behind Yahoo’s backend advertising technology,” allege the plaintiffs in the filing. “With Yahoo’s sophisticated trade secrets in hand, Sang then joined The Trade Desk, Inc ... a digital advertising platform and Yahoo competitor, as a staff data scientist.”

Explore frequently asked questions

AdLearn works by feeding real-time data inputs to machine learning (ML) algorithms, which process the information to intelligently place ads in real-time based on a customer’s pre-set factors. Yahoo claims that AdLearn stands out among competing technologies and is uniquely poised to deliver results for the advertisers that use it; the company asserts that “by constantly computing campaign-level bid adjustments,” the solution “maximizes a customer’s return on investment,” which in turn drives customer loyalty.

Per the filing, the technology was developed by Yahoo Ad Tech’s research and engineering employees. While the research team conducts data mining and develops the ML capabilities, the engineering team is principally tasked with developing the code to implement AdLearn’s algorithms.

At the time of his resignation in February, the suit says that Sang served as the most senior leader of one of four unique research teams responsible for developing elements of AdLearn. Specifically, he headed up the budget spend pacing control system – the system responsible for constantly adjusting bid pricing and frequency to meet a customer’s predefined parameters in the DSP. Yahoo alleges that, in his role, Sang “regularly” worked with colleagues on the engineering side, handling source code and determining how to implement it.

Sang, who holds a PhD in electrical and computer engineering from the University of Virginia, was employed with the company for nearly six years. Initially, he joined AOL in 2015 as a senior research scientist, just a month before AOL was acquired by Verizon Communications and subsequently renamed Oath Inc. Since then, through a number of mergers and acquisitions, Verizon Communications and Oath Inc have become Yahoo. Sang was officially employed by Oath Holding Companies from 2018 until his recent resignation.

In February, The Trade Desk, a leading advertising technology player currently valued at $24.7bn, officially extended an employment offer to Sang, which included a salary raise, six-figure cash signing bonus and close to $1m in stock units that would vest over time, per the suit. Yahoo claims that about 45 minutes after receiving the letter on February 11 – still four days before he would submit his resignation to Yahoo – Sang downloaded approximately 570,000 files from his company laptop to two personal external storage devices without authorization from his employer.

Sang allegedly had possession of the devices until Yahoo issued a cease-and-desist order a few weeks later, upon which he returned them to the company for forensic analysis. The analysis uncovered the trove of downloaded information, which included what the filing describes as “the substantial majority (if not exclusive content) of the source code reflecting the budget spend pacing control algorithms” as well as other AdLearn code and files entitled “bidding research,” which were scraped from Yahoo Github repositories. The company also alleges that Sang stole sensitive and confidential information including Yahoo’s competitive analysis of The Trade Desk as well as specific strategy plans.

“Sang’s misappropriation divested Yahoo of the exclusive dominion and control of its trade secrets,” the filing says. “The files Sang transferred constitute a serious misappropriation of intellectual property that would provide any DSP competitor with a competitive advantage in the online advertising space,” it goes on to say, suggesting that Yahoo believes Sang intended to divulge the company’s secrets to his new employer.

The suit explains that Yahoo’s forensic analysis also found that Sang communicated – though to whom it’s unclear – via WeChat as early as September 2020 about using a Western Digital cloud system for file back-up purposes. According to his LinkedIn profile, Sang worked for Western Digital, a San Jose, California-based hardware and software firm, before he was originally employed by AOL in 2018.

Yahoo has brought three separate charges against Sang: violation of the Virginia Uniform Trade Secrets Act; breach of his fiduciary duty; and conversion, or theft, of the company’s intellectual property. The company is seeking $5m plus punitive damages.

Yahoo is being represented by McGuireWoods, a storied law firm that has represented parties ranging from Boeing – in the federal investigation surrounding issues related to its 737 MAX aircraft – to the parents of Otto Warmbier, the US college student who in 2017 died following his imprisonment in North Korea.

Yahoo and its representatives at McGuireWoods declined requests for comment. The Trade Desk and Sang have not responded to requests for comment.

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Yahoo Salary for Senior Research Scientist BETA

What is the average salary for a Senior Research Scientist at Yahoo in the United States? Based on our data, it appears that the optimal compensation range for a Senior Research Scientist at Yahoo is between $123,957 and $148,315, with an average salary of $137,232. Salaries can vary widely depending on the region, the department and many other important factors such as the employee’s level of education, certifications and additional skills.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

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Yahoo Overview

Yahoo! Inc., together with its subsidiaries, provides search and display advertising services on Yahoo properties and affiliate sites worldwide. The company offers Yahoo Search that serves as a guide for users to discover information on the Internet; Yahoo Mail, which connects users to the people and content; and Yahoo Messenger, an instant messaging service, which enables users to connect, communicate, and share experiences in real-time. It also provides digital content products, including Yahoo News, which gives users to discover, consume, and engage around the news, content, and video; Yahoo Sports, which serves audiences of sports enthusiasts; Yahoo Finance that offers a range of financial data, information, and tools; Yahoo Lifestyle to engage users passionate about style and fashion; and Tumblr, which provides a Web platform and mobile applications on iOS and android to create, share, and curate content, as well as Tumblr messaging that enables users to engage with other users that share their same interests and passions. In addition, the company provides advertiser products, such as Yahoo Gemini, a marketplace for search and native advertising; and BrightRoll, which offers a suite of media-agnostic tools to enable advertisers, publishers, and partners connect with users across ad formats and devices. Further, it offers advertising formats; and digital advertising products, such as Yahoo native, Yahoo video, Yahoo premium, and Yahoo audience ads. Additionally, the company offers Yahoo Mobile Developer suite consisting of Flurry Analytics, Yahoo App Publishing, Yahoo App Marketing, and Tumblr In-App Sharing tools to measure, monetize, advertise, and improve their apps. Yahoo! Inc. was founded in 1994 and is headquartered in Sunnyvale, California.

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What skills does a person need at yahoo.

At Yahoo, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

• Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
• Data Science: Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems". Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities.
• Machine Learning: Using mathematical models, data, and algorithms to help a computer learn without direct instruction.
• Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
• Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.

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Harvard Scientists Say There May Be an Unknown, Technologically Advanced Civilization Hiding on Earth

A provocative hypothesis..

What if — stick with us here — an unknown technological civilization is hiding right here on Earth, sheltering in bases deep underground and possibly even emerging with UFOs or disguised as everyday humans?

In a new paper that's bound to raise eyebrows in the scientific community, a team of researchers from Harvard and Montana Technological University speculates that sightings of "Unidentified Anomalous Phemonemona" (UAP) —  bureaucracy-speak for UFOs, basically — "may reflect activities of intelligent beings concealed in stealth here on Earth (e.g., underground), and/or its near environs (e.g., the Moon), and/or even 'walking among us' (e.g., passing as humans)."

Yes, that's a direct quote from the paper. Needless to say, the researchers admit, this idea of hidden "crypoterrestrials" is a highly exotic hypothesis that's "likely to be regarded skeptically by most scientists." Nonetheless, they argue, the theory "deserves genuine consideration in a spirit of epistemic humility and openness."

The interest in unexplained sightings of UFOs by military personnel has grown considerably over the past decade or so. This attention grew to a peak last summer, when former Air Force intelligence officer and whistleblower David Grusch testified in front of Congress , claiming that the US had already recovered alien spacecraft as part of a decades-long UFO retrieval program.

Even NASA has opened its doors for researchers to explore mysterious, high-speed objects that have been spotted by military pilots over the years.

But several Pentagon reports later, we have yet to find any evidence of extraterrestrial life.

That hasn't dissuaded these Harvard researchers, though. In the paper, they suggest a range of possibilities, each more outlandish than the next.

First is that a "remnant form" of an ancient, highly advanced human civilization is still hanging around, observing us. Second is that an intelligent species evolved independently of humans in the distant past, possibly from "intelligent dinosaurs," and is now hiding their presence from us. Third is that these hidden occupants of Earth traveled here from another planet or time period. And fourth — please keep a straight face, everybody — is that these unknown inhabitants of Earth are "less technological than magical," which the researchers liken to "earthbound angels."

UFO sightings of "craft and other phenomena (e.g., 'orbs') appearing to enter/exit potential underground access points, like volcanoes," they write, could be evidence that these cryptoterrestrials may not be drawn to these spots, but actually reside in underground or underwater bases.

The paper quotes former House Representative Mike Gallagher, who suggested last year that one explanation for the UFO sightings might be "an ancient civilization that’s just been hiding here, for all this time, and is suddenly showing itself right now," following Grusch's testimony.

The researchers didn't stop there, even suggesting that these cryptoterrestrials may take on different, non-human primate or even reptile forms.

Beyond residing deep underground, they even speculate that this mysterious species could even be concealing themselves on the Moon or have mastered the art of blending in as human beings, a folk theory that has inspired countless works of science fiction.

Another explanation, as put forward by controversial Harvard astrophysicist Avi Loeb, suggests that other ancient civilizations may have lived on "planets like Mars or Earth" but a "billion years apart and hence were not aware of each other."

Of course, these are all "far-fetched" hypotheses, as the scientists admit, and deserve to be regarded with plenty of skepticism.

"We entertain them here because some aspects of UAP are strange enough that they seem to call for unconventional explanations," the paper reads.

"It may be exceedingly improbable, but hopefully this paper has shown it should nevertheless be kept on the table as we seek to understand the ongoing empirical mystery of UAP," the researchers conclude.

More on UFOs: New Law Would Force Government to Declassify Every UFO Document

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Scientists Reveal the Absolutely Metal Physics of Wormholes

Accreting wormholes likely form “plasma tornadoes” in its throat while firing matter at one-fifth the speed of light.

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• Wormholes (as far as we know) only exist in the world of theoretical astrophysics and myriad sci-fi stories. But scientists are trying to piece together what such a celestial phenomenon might look like and how it could behave.
• Previous studies have determined that wormholes would appear remarkably similar to black holes, but new research puts forward that traversable wormholes—ones that actively gobble up matter—would have slight differences.
• This kind of wormhole would likely form extremely hot plasma tornadoes in its throat—which could be visible—and would also fire matter out from its other “mouth” at a staggering 125 million miles per hour, or one-fifth the speed of light.

Based on our understanding of physics, there are a couple different kinds of wormholes, including Schwarzchild wormholes, Einstein-Rosen wormholes, and (most importantly for the sci-fi minded among us) traversable wormholes—bridges that matter could technically travel through. While this last type of wormhole relies on exotic matter, negative energy, or very specific conditions, that hasn’t stopped scientists from trying to figure out how exactly such a wormhole would work.

In a new study published in May in the journal Physical Review D , Luciano Combi, a postdoctoral researcher at the Perimeter Institute based in Ontario, Canada, investigated what would happen if one side of a wormhole began accreting (read: gobbling up) matter. The results of such a (purely theoretical) phenomena would likely create a plasma tornado trapped in the “throat” of the wormhole, and eventually lead to the firing of that plasma out of the other wormhole “mouth” at a blazing 125 million miles an hour.

“We present the first dynamical model of plasma accretion onto traversable wormholes by performing general relativistic magnetohydrodynamical (GRMHD) simulations of the flow on both sides of the wormhole,” the paper reads. “The wormhole cloud acts as an engine in which gas coming from one side accumulates at the center, dissipates energy , and powers a mildly relativistic thermal wind toward the other side.”

This is bad news for anyone that’d want to travel through the wormhole, considering the heat alone from the plasma tornado could likely cause nuclear fusion . But there is a bright side—quite literally.

“In principle, you could say that even though you don’t have an event horizon, the gravitational pull will slow down the light and you won’t see anything,” Combi told New Scientist . “But it’s so, so bright that you can actually overcome that.”

This particular side effect means that wormholes could theoretically be visible. The ring surrounding the wormhole would look similar to the accretion disk around black holes , but with a bright spot in its center. The other “mouth” of the wormhole would look a bit different, as it’d be busy spewing plasma at one-fifth the speed of light.

However, this “visibility” might be incredibly unstable. As Sofia University’s Petya Nedkova described to New Scientist , the wormhole “will disintegrate and transform into another type of space-time ... which may make their experimental detection complicated.” Nedkova was part of a 2022 study that explored methods for detecting wormholes by recognizing different polarization properties between black holes and wormholes.

In other words, actually finding wormholes remains as difficult as ever. But if science were to stumble upon one, we’d at least know what we were looking at.

Darren lives in Portland, has a cat, and writes/edits about sci-fi and how our world works. You can find his previous stuff at Gizmodo and Paste if you look hard enough. 

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2024 china energy internet conference held in future science city, beijing.

BEIJING , June 24, 2024 /CNW/ -- The China Energy Internet Conference was held in Future Science City, Changping district, Beijing , from June 20 to 21 . It was hosted by Tsinghua University, the Administrative Committee of Beijing Future Science City, the Energy Internet Research Institute of Tsinghua University and Beijing Future Science City Group Co., Ltd.

With the theme of "AI empowering Energy Internet Innovation and Development of New Quality Productive Forces", the conference invited academicians from the Chinese Academy of Sciences and the Chinese Academy of Engineering and other industry experts, as well as guests from energy Internet related enterprises, research institutes, financial institutions and industry associations.

The 2024 Annual Report on the Development of National Energy Internet, Construction Plan of Carbon Monitoring and Management Platform for Future Science City were officially released at the conference.

Attendees had extensive in-depth discussions and exchanges during seven sub-forums on the topics of technological innovation and engineering application of energy digitalization industry, intelligent hydrogen power, carbon neutralization of energy storage application and standardization of energy Internet.

After visiting the exhibition hall of the Future Science City, the Energy Internet Building, and the Central Research Institute of the State Power Investment Corporation, attendees gained a more comprehensive and in-depth understanding of the support policies and latest construction achievements for the industrial development planning of the Energy Valley, Future Science City.

The conference aims to build a platform for cross-border exchange of innovative resources such as universities and venture capital institutions of energy Internet-related enterprises to help China take a more solid step towards innovation and transformation in the field of energy, and to provide Chinese wisdom and solutions for the construction and development of the global energy Internet network.

View original content to download multimedia: https://www.prnewswire.com/news-releases/2024-china-energy-internet-conference-held-in-future-science-city-beijing-302180018.html

SOURCE 2024 China Energy Internet Conference

View original content to download multimedia: http://www.newswire.ca/en/releases/archive/June2024/24/c9556.html

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Boone Ashworth

Artifact’s DNA Lives on in Yahoo’s Revamped AI-Powered News App

Today Yahoo is debuting a revamped version of its news app. This new Yahoo News app, which is available as a free download now, is powered by the underlying code of the well-received yet short-lived app Artifact. And of course, the new app is infused with AI capabilities to surface the news articles that might interest you most.

Artifact was a news reader app that launched in 2023 and was helmed by Instagram cofounders Kevin Systrom and Mike Krieger. It made heavy use of AI, employing algorithms to process user behavior and serve readers highly personalized content based on which news stories they engaged with. A little more than a year after it started, the Artifact team shut down the service after it became clear it wasn’t growing enough.

Though the app may have floundered, its resurrection was swift. In April, Yahoo announced it had bought Artifact with the goal of bringing Yahoo users “more content tailored to their interests.” Just a little more than two months later, that plan has emerged in the form of the revamped Yahoo News app.

Extra, Extra

Yahoo News is gigantic. It’s the biggest news platform in the US, with more than 185 million monthly visitors. Now, Yahoo hopes to use the machine intelligence engine behind Artifact to revitalize its app by sharpening its powers of personalization, a move that could help Yahoo hop headfirst into the AI scrum.

The new Yahoo News app is free (though ad-supported), available on iOS and Android , and can be used with or without a Yahoo account. This AI push for the News app comes a few days after Yahoo introduced AI updates to its Mail app . Yahoo is also adding generative AI summaries of news articles. In the new app, users will see a prompt in some stories to generate “Key Takeaways.” After tapping the prompt, users will see a quick summary load after a second or two of computation. The AI summaries appear in the desktop version of Yahoo News too, but only for a small subset of users who are selected and then choose to opt in.

The recommendation features enabled by the Artifact-driven algorithms in the Yahoo News app are only mobile for now. They aren’t powering the desktop version of Yahoo News yet, but Yahoo says the goal is to eventually synchronize features across all platforms.

Kat Downs Mulder, senior vice president and general manager of Yahoo News, says the update is a “complete top to bottom redesign of our Yahoo News app.” Even at first glance, the difference is immediately noticeable. The app looks slick and uncluttered, and it’s simple to navigate. And behind the scenes, there’s a variety of AI algorithms pulling strings to show you what you want to see. Some of these features are powered by proprietary technology, and some are powered by the AI bigwigs Yahoo has partnered with, like OpenAI.

By Adrienne So

By Simon Hill

By Julian Chokkattu

By Christopher Solomon

The actual articles displayed in the app are curated from news websites and are available without paywalls or subscription requirements. (Yahoo News partners with more than 1,000 publishers, who get paid based on revenue sharing agreements. It’s kind of like Spotify, but for news.)

Getting started requires minimal effort. When you launch it, the app asks you to pick five or more news topics you’re interested in, like politics, science, gaming, and climate. From there, a combination of algorithmic curation and some human finagling from people in an editorial role at Yahoo News determine what you see. Additional customization options let you block individual publications or keywords if you don’t ever want to see them in your feed again. (Something like “Elon,” for example.)

Downs Mulder says what you see in the new Yahoo News app is the result of a careful balance of AI and editorial decisionmaking. It’s tailored to your interests, while also showing a Top Stories section that displays what Yahoo considers the most important stories of the day. Those are decided on via a symbiotic process where AI flags stories that seem to have more heft or user interest, and people in editorial roles at Yahoo News decide to include the stories that seem most important. The team also wants to keep the app from being annoying, and Yahoo says it’s intentional about which notifications you get pestered with.

“People want places to spend their time that are going to help them save time and get what they want to get done, done,” Downs Mulder says. “And in this case, that’s getting informed, having things to talk about.”

Tomorrow’s Headlines

Still, the main problems with recommendation algorithms that aggressively track user behavior and promote news stories with high engagement is that they often reinforce bias and can lead to the spread of misinformation. If you can select exactly what news sources and what types of stories you want delivered to you, there’s a risk that you’ll get locked into an echo chamber. Downs Mulder says Yahoo is trying to very carefully walk that ethical tightrope of delivering what users want to read without causing troublesome side effects.

“I really like the way this app has come together, because it does balance that Top Stories with that ‘for you’ in a way that’s going to provide you that awareness of what I need to know and what I want to know,” Downs Mulder says. “That’s what’s going to keep a reader from getting too far down a rabbit hole.”

Another one of Artifact’s bias-combating features that shows up in the redesign is the ability for clickbait headlines to get rewritten on the fly. Users who see a headline that feels like clickbait can flag it, and once enough people have reported it, the headline will be replaced in the app with a clearer, often more direct rewrite. The new headlines are composed by the generative AI engine and fine-tuned by Yahoo’s human news curators.

To keep people clicking, the Yahoo News app also includes an element of gamification, where the app tracks how many articles you read and bestows fun titles upon you to mark your level of effort. Read enough stories and you’ll get rewarded with a badge. For example, reading one story gets you the Learner title, while going up to 250 reads labels you a Sage, which Yahoo says labels you “one of the top readers on Yahoo News” within the app.

The Artifact-ification of the News app might also pave the way for future features across Yahoo. Downs Mulder envisions a future where those reading badges pay off in a more finite way. If someone is classified as a Sage, they might be treated as having more authority or credibility within the broader Yahoo community.

Some former Artifact features haven’t quite made their way into the new Yahoo News. The pre-Yahoo version of Artifact included a feature that used AI voices to read articles aloud , including AI-generated voices that sounded like rapper Snoop Dogg and not-rapper Gwyneth Paltrow, among others. That option isn’t in Yahoo News yet, though when asked about it, Downs Mulder says more features are coming to the Yahoo News app in the near future, and some of them will be along those lines. “I would just encourage you to stay tuned,” she says.

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The man who dared to revolt against Sam Altman at OpenAI just started a research lab promoting 'safe superintelligence'

• Ilya Sutskever initially pushed for Sam Altman's ouster as OpenAI's CEO
• Sutskever later expressed regret for his decision before leaving the company in May.
• On Wednesday, Sutskever said he's starting a new company, Safe Superintelligence Inc. 

OpenAI cofounder and former chief scientist Ilya Sutskever announced his new venture on Wednesday — a research lab committed to developing " safe superintelligence ."

"I am starting a new company," Sutskever said of his new project, Safe Superintelligence Inc. (SSI) in an X post.

I am starting a new company: https://t.co/BG3K3SI3A1 — Ilya Sutskever (@ilyasut) June 19, 2024

According to SSI's website, the lab has "one goal and one product: a safe superintelligence." SSI says this will be achieved by advancing their "capabilities as fast as possible while making sure safety always remains ahead."

"This way, we can scale in peace," the company said.

Besides Sutskever, the company lists among its cofounders former Apple AI lead, Daniel Gross , and ex-OpenAI technical staff member Daniel Levy .

When Bloomberg's Ashlee Vance asked about the company's financial backers, Sutskever declined to reveal SSI's backers and the funding it has received.

In its launch announcement, SSI said that it wasn't distracted by "management overhead or product cycles" because its "singular focus" on safety meant that it was "insulated from short-term commercial pressures."

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"It will be fully insulated from the outside pressures of having to deal with a large and complicated product and having to be stuck in a competitive rat race," Sutskever told Bloomberg's Vance.

Representatives for Safe Superintelligence and OpenAI didn't immediately respond to requests for comment from BI sent outside regular business hours.

SSI comes after months of uncertainty over Sutskever's future at OpenAI

Talks of Sutskever's post-OpenAI moves have been brewing ever since he left the ChatGPT maker last month . In a farewell post he published on X on May 14, Sutskever only said that he was going to work on a " project that is very personally meaningful" to him.

Sutskever played a critical role in OpenAI's AI breakthroughs, with fellow cofounder Elon Musk even referring to him as the " linchpin " of the company's success.

But Sutskever's future at OpenAI became uncertain after it came to light that he'd initially pushed for Sam Altman's ouster as CEO in November.

The company's board said in a statement on November 17, 2023, that Altman's removal came after he "was not consistently candid in his communications with the board" but did not give further details.

Sutskever later expressed regret for his decision and called for Altman's reinstatement alongside other OpenAI employees.

Altman was eventually brought back as CEO just five days after he was ousted, but the incident appeared to drive a wedge between him and Sutskever.

Following Altman's return, Sutskever appeared to have been shut out of OpenAI, BI reported in December , citing people familiar with the situation.

This isn't the first time OpenAI has seen its staff members splintering off to start their own AI companies.

In 2021, former OpenAI employees and siblings Dario and Daniela Amodei founded their own AI startup, Anthropic . The company, which has investors including Amazon and Google , has also sought to position itself as more safety-conscious than its industry competitors.

Watch: Sam Altman moves to Microsoft after OpenAI fires him as CEO

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