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  • Can Solana bounce back? THESE factors fuel optimism

    Lennox Gitonga

    Solana behaved like a more of a volatile version of Ethereum until press time.
    Pump.Fun and institutions impacted price of SOL.

    Solana [SOL] is poised to shine in the upcoming bull market, p

    The post Can Solana bounce back? THESE factors fuel optimism appeared first on AMBCrypto.

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  • 10 Fast-Rising Crypto VCs Shaping the World of Web3

    10 Fast-Rising Crypto VCs Shaping the World of Web3

    Livine Sanchez

    10 Fast-Rising Crypto VCs Shaping the World of Web3

    In web3, venture capital firms play a crucial role in nurturing innovation and driving the adoption of blockchain technologies. While the same multi-billion-dollar funds tend to hog the spotlight during pre-seed and seed stages, an influx of agile crypto-native VCs has emerged in recent years, each bringing fresh perspectives and outside-the-box strategies to the table. […]

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    10 Fast-Rising Crypto VCs Shaping the World of Web3

  • Peer Review Demystified: What, Why, and How

    Shrey Pareek, PhD

    Learnings as an AI & Robotics Associate Editor with 100 Peer Reviews

    Photo by Annie Spratt on Unsplash

    I will share what I have learnt about the academic peer review process through a personal journey from a hesitant reviewer to an Associate Editor for the IEEE Robotics and Automation Letters (Impact Factor 4.6).

    While most traditional science and engineering publications require prior publication experience and academic credentials to serve as reviewers, machine learning and data science might be an exception. A significant driver of the widespread adoption and use of data science has been open-source projects and repositories. Many influential contributors to open-source data science are not always published researchers but possess deep knowledge of the field through practice and experimentation. Additionally, formal academic degrees in machine learning have only existed for a few years, and many current researchers come from diverse backgrounds. I, for example, have a background in Mechanical Engineering.

    With the above in mind, I hope that if you are a machine learning practitioner who is curious about the review process and wants to get involved, this article should provide some value.

    Table of Content

    · My Story
    · What is Peer Review?
    Shouldn’t Editorial Board Members be the Experts?
    · Peer Review Process
    · Why You Should Consider Peer Reviewing
    · How Can You Get Involved?
    Tracking Peer Reviews using Web of Science
    Do I need to be a published researcher?
    · How Much Time Does it Take?
    · Conclusion
    · Cold Email Template
    · Disclaimer

    My Story

    In August 2024, I reached 100 verified peer reviews for 9 different academic journals and conferences. Although I performed my first review in 2016, it was not until mid-2022 that I truly started enjoying the process.

    Peer Review metrics from my Web of Science profile. Image by author.

    As a graduate student (2015–2020), I never really enjoyed reviewing papers. Instead, I mostly did it as an academic obligation when my advisor asked me to do so. Furthermore, I lacked confidence in my ability to critique others’ work, given that I only had few publications under my belt.

    After graduating, I found it challenging to stay up-to-date with new research. As a student, reading papers was part of the job. In industry, however, I only read the most popular papers. To stay current with the latest research, fulfill my academic responsibilities, and build a stronger research profile, I began emailing editors of various journals to express my interest in becoming a reviewer. Although I received responses from almost all the journals, only 2–3 assigned me papers initially. Over time, I started receiving review requests from journals I hadn’t contacted as well.

    In late 2023, I applied to IEEE RA-L for an Associate Editor role and was eventually selected to serve in the human-robot-interaction track.

    In the rest of this article, I will explain:

    • the importance of peer reviewing and what the process entails,
    • why you should consider reviewing for academic publications and how you can get started
    • time commitment and other factors to consider

    Finally, I will also share a cold email template that you can use to reach out to editors.

    Although there is some controversy over the efficacy of the peer review process, I do not consider myself well-versed enough to comment on that aspect. Instead, I will focus on sharing my experiences and learnings.

    What is Peer Review?

    Peer review is a crucial tool that, ideally, ensures high-quality scientific work. It is a process used to evaluate the quality, validity, and relevance of research or scholarly work before it is published or accepted for presentation. This evaluation is performed by expert peers in the relevant domain. The peer review process helps ensure that published research is of high quality and contributes meaningfully to the field, maintaining academic standards and credibility.

    Publication rely on a network of volunteer peer reviewers for the above. This is primarily due to two reasons:

    1. Submission Volume : Academic publications may receive thousands of potential manuscripts each year. For instance, the IEEE Computer Vision and Pattern Recognition Conference (CVPR) received 11,532 submissions in 2024. Even though editorial boards of popular journals/conferences may include a few hundred members, they are far out numbered by the number of submissions. Additionally, most publications have at least 2 rounds of reviews, effectively doubling the number of reviews required.
    2. Varied Domain Expertise : Although most publications have a relatively narrow scope, they still cover a vast domain of scientific knowledge within a specific field. To this end, editorial boards comprise of experts from numerous sub domains, but the nature of academic research is highly specific and it is nigh impossible for the editorial staff to have the right expertise to fairly critique every submission.

    Shouldn’t Editorial Board Members be the Experts?

    Yes, but the scope (or focus areas) of journals is often too broad. For example, consider the scope of the IEEE Robotics and Automation Letters (RA-L), where I serve as an Associate Editor:

    publishes peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.

    The phrase areas of robotics and automation describes the wide variety of work the journal focuses on. This may include bio-inspired robotics biomedical robotics, field robotics, human-robot interaction, humanoid robotics, soft robotics — to name a few. In addition, the automation part may be based on machine learning, rule-based methods, or good old control theory.

    Most robotics researchers specialize in a particular domain. I myself obtained my doctorate in medical robotics. Within that, I focused on physical therapy assistive robots. Within that, upper limb stroke rehabilitation. And finally within that, I explored the use of advanced deep learning and biomechanical signals for automated assistance. So although on paper I am a so called “expert” on medical robots, I do not have in-depth knowledge of say — use of deep learning for surgical robotics.

    However, I do know fellow researchers and colleagues with expertise in these specialized fields. I can rely on their knowledge to provide feedback and recommendations for publications. These peers are essential to the publication process, ensuring that submissions receive informed and comprehensive evaluations.

    Peer Review Process

    Very briefly, the peer review process usually comprises of the following steps:

    • Submission: Author submits a manuscript to a journal or conference.
    • Initial Screening: Editor checks if the submission fits the journal’s scope and standards.
    • Review Assignment: Editor sends the manuscript to experts (peer reviewers) in the field.
    • Review: Reviewers assess the manuscript’s quality, methodology, and significance, providing feedback. They may recommend accept, request revisions, or reject the manuscript.
    • Editorial Decision: Editor decides to accept, request revisions, or reject the manuscript based on feedback from multiple reviewers.
    • Revisions: If needed, the author revises the manuscript and resubmits it for further review.
    • Re-Review: Reviewers re-review revised manuscripts and recommend accept, request revisions, or reject. Most journals only allow a binary accept or reject at this stage. Although this varies.
    • Publication: Accepted manuscripts are edited and published.

    Why You Should Consider Peer Reviewing?

    Peer reviewing can be a gratifying experience and a valuable way to contribute to the advancement of scientific research, even if you are not an active researcher. Here’s a breakdown of why peer review is important:

    1. Academic Responsibility: If you are a researcher who publishes papers, the general guideline is to maintain a 3:1peer review-to-publication ratio. This means that for every paper you publish, you should ideally review three papers. This ratio reflects the typical practice where most publications assign three reviewers to each submission.
    2. Staying Up to Date: Reviewing papers involves reading work that has not yet been published, often representing the cutting edge of your field. While you are not permitted to disclose or use results from unpublished reviews, you still gain insight into new techniques and current research trends within your area of expertise.
    3. Build Research Network and Profile: Serving as a peer reviewer highlights your expertise in a particular field and is an excellent way to expand your research network. It connects you with fellow researchers globally and provides direct access to editorial board members, enhancing your professional visibility and connections.
    4. Improve Paper Writing: Most journals allow you to review the feedback provided by other reviewers on the same submission. This exposure offers valuable insights into what fellow researchers consider strong versus weak papers, which can help you refine and enhance your own writing skills.
    5. Green Card Criteria: The following is not legal advice and only reflects my personal experience. Please consult an immigration lawyer if you need further information.
      This is relevant if you are an immigrant in the U.S. seeking an Employment-Based (EB) Green Card. Categories such as EB1-A, EB1-B, and EB1-NIW often require “evidence of participation, either on a panel or individually, as a judge of the work of others in the same or allied academic field” as one of the criteria to demonstrate expertise. Therefore, reviewing more papers can strengthen your application and increase your chances of meeting this criteria. In fact, I myself used my peer review background as a criteria for the EB1-B Green Card.

    How Can You Get Involved?

    Peer reviewing might seem intimidating, but it is quite manageable and resembles the code review process. Similar to creating a pull request that needs to reviewed before merged, a manuscript needs to reviewed before it can be published.

    Editors are constantly seeking peer reviewers and are often very receptive if you reach out to them. A straightforward cold email can be very effective. I will provide an email template at the end of this article for you to use.

    As long as your aim is to offer unbiased feedback to help authors improve their work, you are approaching the process with the right mindset. Most editors will value and respect your contributions.

    Tracking Peer Reviews Using Web of Science

    I would highly recommend creating a Web of Science profile. It enables you to get your reviews verified and all in one place. It has a handy export feature that can serve as a proof of your reviewer experiences that is expected by most organizations. It also provides intersting metrics such as the average length of your reviews.

    Some interesting metrics that can be generated by Web of Science. Image by author.

    Do I need to be a published researcher?

    Not necessarily. While many top journals and conferences require some publication experience, others do not. If you do not have publications and are a millennial (i.e. suffer from imposter syndrome), you can start by reviewing poster or abstract submissions for smaller, local conferences to build your profile and confidence. You can then use this as a crux to graduate to international publications as well as a filler for a lack of publication history.

    Keep in mind that each manuscript is typically reviewed by 2–3 reviewers at various career stages. As a newcomer, you may offer a fresh perspective compared to more experienced researchers. Editors value all feedback, and a diverse range of viewpoints is highly beneficial.

    How Much Time Does it Take?

    The time commitment for peer reviewing varies and is entirely up to you. I typically limit myself to 1–2 papers per month (this includes my AE assignments). In 2023, I reviewed more frequently, but I am now more selective. You can always decline invitations if needed, as peer reviewing is a voluntary activity, and editors respect your time.

    The duration of each review also varies. In my experience, reviews can take anywhere from a couple of hours to several days. If a paper is closely related to my research, I can complete it in an afternoon. However, papers that are adjacent to my field or involve complex equations can take longer, especially if they require extensive verification. Personally, I avoid papers with too many equations as I do not enjoy reading them. More pictures, less math, please!

    Sometimes I do receive terrible quality papers that appear to be a waste of time. But these usually take the least amount of time to review anyway.

    In summary, the time commitment varies, but you can choose the number and type of papers to review based on your preferences and availability.

    Conclusion

    In conclusion, the peer review process is a crucial component of academic publishing that ensures the quality and integrity of scientific research. The process, while challenging, offers significant benefits, including staying abreast of cutting-edge research, enhancing one’s academic profile, and contributing meaningfully to the scholarly community.

    Ultimately, peer reviewing is not only a responsibility but also an opportunity for personal growth and professional development. It provides a platform for researchers to influence the advancement of their field, build valuable networks, and improve their own research skills. While the peer review system is not without its criticisms, it remains a vital component of the research ecosystem, fostering academic rigor and innovation.

    Cold Email Template

    As promised, here is the cold email template I have used in the past.

    SUB: Request to serve as peer reviewer for [Publication Name]

    Dear [Editor’s Name],

    I hope this message finds you well.

    I am writing to express my interest in serving as a peer reviewer for [Publication Name]. Currently, I am a [Your Role] at [Your Organization], with a [Bachelor’s/Master’s/Doctorate] in [Field] from [University]. My areas of expertise include [Expertise 1, Expertise 2, Expertise 3], and I have demonstrated proficiency through [briefly mention any relevant experience or achievements].

    I have published articles in [Publication 1, Publication 2, Publication 3] and contributed to open-source projects such as [Project 1, Project 2] and [Blog 1, Blog 2]. I also serve as a reviewer for [Publication 1, Publication 2, Publication 3].

    You can find more information about my work on my [Google Scholar and/or GitHub] profile, and I have attached my resume for your reference.

    I am confident that my background and expertise make me a suitable candidate for reviewing submissions, particularly in areas related to [List Areas of Interest]. I would be honored to contribute to [Publication Name] and support the advancement of research in these fields.

    Thank you for considering my application. I look forward to your response.

    Best regards,

    [Your Full Name]
    [Your Contact Information]

    Disclaimer

    ChatGPT was used as a proof-reading tool for this article. Minor edits were made based on the feedback. Content was created by author.


    Peer Review Demystified: What, Why, and How was originally published in Towards Data Science on Medium, where people are continuing the conversation by highlighting and responding to this story.

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  • Build an ecommerce product recommendation chatbot with Amazon Bedrock Agents

    Build an ecommerce product recommendation chatbot with Amazon Bedrock Agents

    Mahmoud Salaheldin

    In this post, we show you how to build an ecommerce product recommendation chatbot using Amazon Bedrock Agents and foundation models (FMs) available in Amazon Bedrock.

    Originally appeared here:
    Build an ecommerce product recommendation chatbot with Amazon Bedrock Agents

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  • How Thomson Reuters Labs achieved AI/ML innovation at pace with AWS MLOps services

    How Thomson Reuters Labs achieved AI/ML innovation at pace with AWS MLOps services

    Andrei Voinov

    In this post, we show you how Thomson Reuters Labs (TR Labs) was able to develop an efficient, flexible, and powerful MLOps process by adopting a standardized MLOps framework that uses AWS SageMaker, SageMaker Experiments, SageMaker Model Registry, and SageMaker Pipelines. The goal being to accelerate how quickly teams can experiment and innovate using AI and machine learning (ML)—whether using natural language processing (NLP), generative AI, or other techniques. We discuss how this has helped decrease the time to market for fresh ideas and helped build a cost-efficient machine learning lifecycle.

    Originally appeared here:
    How Thomson Reuters Labs achieved AI/ML innovation at pace with AWS MLOps services

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  • Stability AI adds its best 3 text-to-image models to Amazon Bedrock

    Thomas Macaulay


    Stability AI has added three new image generators to Amazon Bedrock, a platform for building apps. Stable Image Ultra, Stable Diffusion 3 Large, and Stable Image Core are all now live on the service. The trio are Stability’s “top three text-to-image models,” the company said. By adding them to Bedrock, the London startup hopes to reach new audiences — and customers. Scott Trowbridge, VP of business development at Stability, told TNW that the move will “drive enterprise adoption of our models.” Amazon, meanwhile, receives another boost to Bedrock. A Bedrock for Stability? Launched last year, Bedrock provides a fully-managed service…

    This story continues at The Next Web

    Or just read more coverage about: Amazon

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  • Audio transcription compared — Cloud-based vs. on-device

    Audio transcription compared — Cloud-based vs. on-device

    In iOS 18, Apple’s Notes and Voice Memos apps get a new audio transcription feature. Here’s everything you need to know about the different types of audio transcription, how they compare, and what Apple’s implementation brings to the table.

    A tablet screen displays a transcript of a recording discussing architectural structures, with a timer at 3 minutes and 16 seconds, against a background of blue sound waves.
    You can transcribe audio on Apple hardare

    Apple’s latest assortment of operating systems lets users transcribe audio directly within Notes and Voice Memos, in real-time and without an internet connection.

    iOS 18.1, iPadOS 18.1 and macOS Sequoia 15.1 also introduce support for Apple Intelligence, meaning that users will be able to summarize and edit transcriptions through AI, though only on more recent devices.

    Continue Reading on AppleInsider | Discuss on our Forums

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    Audio transcription compared — Cloud-based vs. on-device

  • Lock in the best trade-in value for your used iPhone, Apple Watch ahead of the iPhone 16

    Lock in the best trade-in value for your used iPhone, Apple Watch ahead of the iPhone 16

    In anticipation of Monday’s Apple Event, iPhone and Apple Watch users who are looking to upgrade to the iPhone 16 and Apple Watch Series 10 can lock in an exclusive cash bonus on pre-owned devices.

    Two hands holding a green and a purple iPhone, with US dollar bills in the background.
    Lock in the best trade-in value for your iPhone.

    Popular buyback retailers BuyBackWorld.com and Decluttr.com are each offering an exclusive cash bonus to AppleInsider readers when you trade in a used iPhone, Apple Watch, iPad or MacBook upon the release of the iPhone 16.

    A rundown of each offer can be found below, and you can also check out our roundup of the best iPhone trade-in deals for the September 9 “It’s Glowtime” Apple event.

    Continue Reading on AppleInsider

    Go Here to Read this Fast! Lock in the best trade-in value for your used iPhone, Apple Watch ahead of the iPhone 16

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    Lock in the best trade-in value for your used iPhone, Apple Watch ahead of the iPhone 16

  • US charges Russian state media employees over a social media influence scheme

    Kris Holt

    The Department of justice (DOJ) has indicted two employees of the Russian state-owned broadcaster RT over an alleged pro-Russia influence scheme on social media platforms. Kostiantyn Kalashnikov and Elena Afanasyeva have been accused of being involved in a plan to pay an unnamed Tennessee company almost $10 million to spread nearly 2,000 videos (most of which included disinformation and/or pro-Russia propaganda) in English across YouTube, TikTok, Instagram and X. The DOJ says the videos had been viewed more than 16 million times on YouTube alone.

    Attorney General Merrick Garland said at a press conference that, following Russia’s invasion of Ukraine, “RT’s editor-in-chief said the company had built an ‘entire empire of covert projects’ designed to shape public opinion in ‘Western audiences.’” As part of that goal, RT and employees (including the two defendants) “implemented a nearly $10 million scheme to fund and direct a Tennessee-based company to publish and disseminate content deemed favorable to the Russian government.”

    “To implement this scheme, the defendants directed the company to contract with US-based social media influencers to share this content and their platforms. The subject matter and content of many of the videos published by the company were often consistent with Russia’s interest in amplifying US domestic divisions in order to weaken US opposition to core Russian interests, particularly its ongoing war in Ukraine,” Garland said.

    The Tennessee company didn’t inform the influencers or their millions of followers of its links to the Russian government, Garland added. It instead claimed to be sponsored by a fictitious “private investor,” according to the DOJ. 

    Kalashnikov and Afanasyeva have been charged with conspiracy to violate the Foreign Agents Registration Act (FARA) and conspiracy to commit money laundering. Both are at large. However, the charges do not signal the end of the case. Galand pointed out the investigation is ongoing.

    The DOJ unsealed the indictment amid a broader push by the government to clamp down on Russian propaganda and disinformation ahead of November’s general election. In a separate action, the DOJ seized 32 websites “that the Russian government and the Russian-sponsored actors have used to engage in a covert campaign to interfere and influence the outcome of our country’s elections,” Garland said.

    The campaign, which Russia is said to have called “Doppelganger,” included the creation of websites that “were designed to appear to American readers as if they were major US news sites, like The Washington Post or Fox News, but, in fact, they were fake sites,” Garland said. “They were filled with Russian government propaganda that had been created by the Kremlin to reduce international support for Ukraine, bolster pro-Russian policies and interests and influence voters in the United States and in other countries.”

    Meanwhile, the Treasury and State departments announced parallel actions. The Treasury Department sanctioned ANO Dialog, a Russian nonprofit that’s said to help orchestrate the Doppleganger campaign, along with RT editor-in-chief, Margarita Simonyan and other RT employees.

    The State Department sanctioned RT and four other state-funded publishers. It is also offering a $10 million reward for information regarding to foreign interference over an American election.

    This article originally appeared on Engadget at https://www.engadget.com/big-tech/us-charges-russian-state-media-employees-over-a-social-media-influence-scheme-200028302.html?src=rss

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