British fintech Wise said this week it would shift its primary listing from London to New York, joining a growing list of firms snubbing the London Stock Exchange. UK chip designer Arm opted for a New York IPO in 2023, while food delivery giant Just Eat Takeaway quit the LSE for Amsterdam in November.  Sweden’s Klarna has confirmed plans to go public in New York, following in the footsteps of fellow Stockholm-based tech darling Spotify, which listed on the NYSE in 2018.  The draw? Bigger valuations, deeper capital, and more appetite for risk. Register Now “The US economy continues to perform far better than the EU, and valuations are simply higher for companies that can list there,” Victor Basta, managing partner at Artis Partners, told TNW.    The numbers back him up. The NYSE boasts a market cap of around $27 trillion — compared to just $3.5 trillion for the LSE.  That scale — and the deep-pocketed investors it attracts — pushed Arm to list across the pond. Wise followed for the same reason, according to CEO Kristo Käärmann.  Käärmann said the move would tap “the biggest market opportunity in the world for our products today, and enable better access to the world’s deepest and most liquid capital market.”  Beyond sheer growth potential, US investors are also known for taking bigger bets on growth-stage tech companies.   “US investors understand the whole ‘revenue-before-profit’ strategy,”  Andrey Korchak, a British serial entrepreneur, told TNW. “Meanwhile, in Europe, they often want to see revenue from day one.”  That risk aversion, Korchak believes, restricts the growth of startups. “Europe just doesn’t have the same density of tech unicorns,” he said. “And when startups here do hit that billion-dollar mark, most still prefer to list in the US.” Sean Reddington, co-founder of UK tech firm Thrive, fears that Wise’s New York listing will deepen the problems.  “Wise’s move to the US signals a worrying trend,” he said. “It threatens a ‘brain drain’ of capital and talent, making it harder for growth-stage VCs to invest in UK scaleups without a clear US exit plan.” He called for urgent government action, including providing “meaningful incentives” for tech firms to list in the UK.  “If the ultimate reward of a domestic IPO is diminished, it pushes more companies to consider relocating or listing overseas,” he said. Europe’s startup struggles will be a hot topic at TNW Conference, which takes place on June 19-20 in Amsterdam. Tickets for the event are now on sale — use the code TNWXMEDIA2025 at checkout to get 30%. Story by Siôn Geschwindt Siôn is a freelance science and technology reporter, specialising in climate and energy. From nuclear fusion breakthroughs to electric vehic (show all) Siôn is a freelance science and technology reporter, specialising in climate and energy. From nuclear fusion breakthroughs to electric vehicles, he's happiest sourcing a scoop, investigating the impact of emerging technologies, and even putting them to the test. He has five years of journalism experience and holds a dual degree in media and environmental science from the University of Cape Town, South Africa. When he's not writing, you can probably find Siôn out hiking, surfing, playing the drums or catering to his moderate caffeine addiction. You can contact him at: sion.geschwindt [at] protonmail [dot] com Get the TNW newsletter Get the most important tech news in your inbox each week. Also tagged with

From flagship and budget to flipping and folding, Samsung’s Galaxy range spans the breadth of the smartphone cosmos. WIRED’s here to help you make your choice.

Text embedding and reranking are foundational to modern information retrieval systems, powering applications such as semantic search, recommendation systems, and retrieval-augmented generation (RAG). However, current approaches often face key challenges—particularly in achieving both high multilingual fidelity and task adaptability without relying on proprietary APIs. Existing models frequently fall short in scenarios requiring nuanced semantic understanding across multiple languages or domain-specific tasks like code retrieval and instruction following. Moreover, most open-source models either lack scale or flexibility, while commercial APIs remain costly and closed. Qwen3-Embedding and Qwen3-Reranker: A New Standard for Open-Source Embedding Alibaba’s Qwen Team has unveiled the Qwen3-Embedding and Qwen3-Reranker Series—models that set a new benchmark in multilingual text embedding and relevance ranking. Built on the Qwen3 foundation models, the series includes variants in 0.6B, 4B, and 8B parameter sizes and supports a wide range of languages (119 in total), making it one of the most versatile and performant open-source offerings to date. These models are now open-sourced under the Apache 2.0 license on Hugging Face, GitHub, and ModelScope, and are also accessible via Alibaba Cloud APIs. These models are optimized for use cases such as semantic retrieval, classification, RAG, sentiment analysis, and code search—providing a strong alternative to existing solutions like Gemini Embedding and OpenAI’s embedding APIs. Technical Architecture Qwen3-Embedding models adopt a dense transformer-based architecture with causal attention, producing embeddings by extracting the hidden state corresponding to the [EOS] token. Instruction-awareness is a key feature: input queries are formatted as {instruction} {query}<|endoftext|>, enabling task-conditioned embeddings. The reranker models are trained with a binary classification format, judging document-query relevance in an instruction-guided manner using a token likelihood-based scoring function. The models are trained using a robust multi-stage training pipeline: Large-scale weak supervision: 150M synthetic training pairs generated using Qwen3-32B, covering retrieval, classification, STS, and bitext mining across languages and tasks. Supervised fine-tuning: 12M high-quality data pairs are selected using cosine similarity (>0.7), fine-tuning performance in downstream applications. Model merging: Spherical linear interpolation (SLERP) of multiple fine-tuned checkpoints ensures robustness and generalization. This synthetic data generation pipeline enables control over data quality, language diversity, task difficulty, and more—resulting in a high degree of coverage and relevance in low-resource settings. Performance Benchmarks and Insights The Qwen3-Embedding and Qwen3-Reranker series demonstrate strong empirical performance across several multilingual benchmarks. On MMTEB (216 tasks across 250+ languages), Qwen3-Embedding-8B achieves a mean task score of 70.58, surpassing Gemini and GTE-Qwen2 series. On MTEB (English v2): Qwen3-Embedding-8B reaches 75.22, outperforming other open models including NV-Embed-v2 and GritLM-7B. On MTEB-Code: Qwen3-Embedding-8B leads with 80.68, excelling in applications like code retrieval and Stack Overflow QA. For reranking: Qwen3-Reranker-0.6B already outperforms Jina and BGE rerankers. Qwen3-Reranker-8B achieves 81.22 on MTEB-Code and 72.94 on MMTEB-R, marking state-of-the-art performance. Ablation studies confirm the necessity of each training stage. Removing synthetic pretraining or model merging led to significant performance drops (up to 6 points on MMTEB), emphasizing their contributions. Conclusion Alibaba’s Qwen3-Embedding and Qwen3-Reranker Series present a robust, open, and scalable solution to multilingual and instruction-aware semantic representation. With strong empirical results across MTEB, MMTEB, and MTEB-Code, these models bridge the gap between proprietary APIs and open-source accessibility. Their thoughtful training design—leveraging high-quality synthetic data, instruction-tuning, and model merging—positions them as ideal candidates for enterprise applications in search, retrieval, and RAG pipelines. By open-sourcing these models, the Qwen team not only pushes the boundaries of language understanding but also empowers the broader community to innovate on top of a solid foundation. Check out the Paper, Technical details, Qwen3-Embedding and Qwen3-Reranker. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. Asif RazzaqWebsite |  + postsBioAsif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.Asif Razzaqhttps://www.marktechpost.com/author/6flvq/A Step-by-Step Coding Guide to Building an Iterative AI Workflow Agent Using LangGraph and GeminiAsif Razzaqhttps://www.marktechpost.com/author/6flvq/From Clicking to Reasoning: WebChoreArena Benchmark Challenges Agents with Memory-Heavy and Multi-Page TasksAsif Razzaqhttps://www.marktechpost.com/author/6flvq/Mistral AI Introduces Mistral Code: A Customizable AI Coding Assistant for Enterprise WorkflowsAsif Razzaqhttps://www.marktechpost.com/author/6flvq/NVIDIA AI Releases Llama Nemotron Nano VL: A Compact Vision-Language Model Optimized for Document Understanding

The auto industries in both the US and Europe could come to a standstill within weeks thanks to China’s ongoing restrictions on exports of rare earth minerals and magnets. Several European car part manufacturers have already halted production lines a

Android users could soon welcome yet another browser to challenge Chrome's hegemony.

News Earth Small earthquakes can have a big impact on the movements of major faults The little quakes can disrupt the growth of slow-slip events along megathrust faults Megathrust faults can generate some of Earth’s largest quakes. One example is the 2011 Tohoku earthquake, which rocked Japan and fomented a tsunami that devastated coastal areas, as shown. These same faults can also release immense amounts of seismic energy over days or weeks in harmless slow-slip events. enase/Getty Images By Nikk Ogasa 15 hours ago Seismic symphonies of minor earthquakes may affect grand movements on major faults. Small and distant earthquakes can disrupt the growth of slow-slip events — gradual fault movements that can release tremendous amounts of energy at gentle tempos, a new analysis of seismic data suggests. Reported in the May 16 Science Advances, the research shows that the more frequently small earthquakes occur near a fault’s slow-slip zone, the less synchronized the slipping becomes. Megathrust faults — massive fractures where one tectonic plate pushes under another — are notorious for hatching Earth’s most devastating temblors. These same faults can also slide steadily for days or weeks in slow-slip events while emitting faint vibrations called tectonic tremor. First identified around two decades ago, these softly humming events can shift stress on faults and may influence the timing of large, destructive earthquakes. But it’s not clear why these enigmatic events can grow for hundreds of kilometers along some faults while remaining restricted to small parts of others. Sign up for our newsletter We summarize the week's scientific breakthroughs every Thursday.

Bacteria wouldn’t be so bad if we could tell them what to do. “Stop spreading! Stop sticking together! Stop fending off our antibiotics!” A new method is starting to allow scientists to do just that, letting them use light to control certain functions of bacteria. Introduced in a paper published in The European Physical Journal Plus, the preliminary approach could have several potential applications, including a possible avenue for combating antibiotic resistance.The Problem of Antibacterial Resistance Bacteria are behind a variety of diseases, from strep to staph to pneumonia and meningitis, and they attack our bodies in a variety of ways, as well, including through the production of toxins that damage and disrupt our cells. Some of these infections stop on their own, but others are too stubborn, or too serious, to leave untreated. These are the infections that we target with antibiotics — that is, as long as our antibiotics are working.But, because bacteria are constantly changing, they can develop defenses against the antibiotics that we use to stave them off, making these treatments much less effective. That’s the gist of the growing threat posed by antibiotic resistance, which has contributed to millions of deaths since 1990 and is anticipated to contribute to millions more by 2050. Setting out to find a new solution to this growing problem, scientists from the Italian Institute of Technology and the Polytechnic University of Milan embarked on the Engineering of Bacteria to See Light (EOS) project. The project aims to use light to control bacteria, primarily for the fight against antibiotic resistance. And the new method pushes the project closer to achieving that aim. Using light and light-sensitive molecules to adjust the electrical signals that are transmitted across the bacterial membrane, the method impacts the biological activity of bacteria without any alterations to their genetic makeup.“This interplay between light and electrical [signaling] allows us to control key biological processes such as movement, biofilm formation, and antibiotic sensitivity,” said Giuseppe Maria Paternò, a study author and a professor at the Polytechnic University of Milan, according to a press release. “We can influence antibiotic uptake and restore or even enhance the effectiveness of treatments against resistant strains.”Coating Bacteria to Curb Antibiotic ResistanceTo control bacteria, the method takes advantage of a light-sensitive molecule called Ziapin2, which sticks to the bacterial surface. By covering bacteria with this light-sensitive molecule and by subjecting the covered bacteria to light, the scientists were able to modify the electrical signals that were transmitted across their bacterial membranes, transforming the bacteria’s basic functioning. Testing their method on one of the most studied bacterial species, the scientists changed the electrical signaling across the membranes of Bacillus subtilis, a popular model organism that’s often used as a stand-in for Staphylococcus aureus, the bacterium that causes staphylococcus, or staph, infections.When tested, the method modulated the bacteria’s susceptibility to Kanamycin, an intracellular antibiotic that’s frequently used as a treatment for severe bacterial infections after other treatments fail. “Under blue light,” Paternò said in the release, “the effectiveness of Kanamycin was significantly reduced,” indicating that the electrical signaling on the bacterial membrane “plays a crucial role in the drug’s uptake.”Additional research is required to tailor the method to increase the effectiveness of Kanamycin and other antibiotics against bacteria. But for now, it seems that such an outcome could be possible. “This initial assessment […] represents a first step in a completely new field of study,” the scientists state in their paper. “This proof-of-concept study underscores the potential of non-genetic, light-based interventions to modulate bacterial susceptibility in real time. Future work will expand this approach […] ultimately advancing our understanding of bacterial bioelectric regulation and its applications in antimicrobial therapies.”This article is not offering medical advice and should be used for informational purposes only.Article SourcesOur writers at Discovermagazine.com use peer-reviewed studies and high-quality sources for our articles, and our editors review for scientific accuracy and editorial standards. Review the sources used below for this article:The European Physical Journal Plus. Photocontrol of Bacterial Membrane Potential Regulates Antibiotic Persistence in B. SubtilisSam Walters is a journalist covering archaeology, paleontology, ecology, and evolution for Discover, along with an assortment of other topics. Before joining the Discover team as an assistant editor in 2022, Sam studied journalism at Northwestern University in Evanston, Illinois.

New Bond game 007 First Light just got a reveal at State of Play, showcasing the man himself, some of his colleagues, and showcasing some of his origin storyTech22:58, 04 Jun 2025Updated 22:59, 04 Jun 2025007 First Light will debut a new BondWe've not known what to expect from IO Interactive's James Bond game, at least until we got the name reveal and a promise of a reveal this week.A surprise appearance at Sony's latest State of Play event, 007: First Light got its first real trailer, showing off a new Bond, and teeing up an origin story that feels familiar and refreshing all at once.‌Here's what we learned from the studio behind the Hitman franchise, including the trailer in all of its glory.‌007 First Light will launch in 2026, and is coming to PC, PS5, Xbox Series consoles and the new Nintendo Switch 2."This unique, standalone original story has been created by the passionate development team at IO Interactive," a press release explains.Article continues below"In 007 First Light, players will step into the shoes of a young Bond, a promising yet rebellious Royal Navy air crewman who is recruited into MI6"."His sharp instincts and heroism in combat propel him into the agency’s rigorous training program for the once revered, and newly resurrected, elite 00 section."IO Interactive says Bond will be 26 years old in this game's story, moving across the globe with a series of missions but with the ability to choose how to overcome obstacles through "brute force, cunning guile, or charming wit".‌IO is wisely opting for its own Bond"With 25 years of experience in creating captivating action-adventure games with the Hitman franchise, our studio has been energized with this monumental opportunity in harnessing that expertise in bringing 007 back to video games,” said Hakan Abrak, CEO of IO Interactive in a press release.“We’re pouring our energy and passion for the franchise into creating a cinematic adventure that pushes the boundaries of what a James Bond game can be, while telling a fresh, new story. We can’t wait for players and fans to discover an experience tailor-made for them.”Article continues belowThe trailer is quintessential Bond. There's what appears to be M, British actor Lennie James, gadgets, flirting, and what appears to be vehicular combat, too.Can it be 2026 already, please? Thankfully, we'll be seeing more of the game in a couple of days at IO Interactive's showcase which will also show off MindsEye, which the company is publishing.For the latest breaking news and stories from across the globe from the Daily Star, sign up for our newsletters.‌‌‌

23andMe has a path to a higher purchase price than the $256 million offered by biotech giant Regeneron after the genetic-testing company’s former chief executive pushed a bankruptcy court to reopen its sale process.

More enterprises have moved to pay-for-performance salary and promotion models that measure progress toward goals -- but how do you measure goals for a maintenance programmer who barrels through a request backlog but delivers marginal value for the business, or for a business analyst whose success is predicated on forging intangibles like trust and cooperation with users so things can get done? It’s an age-old question facing companies, now that 77% of them use some type of pay-for-performance model. What are some popular pay-for-performance use cases? A factory doing piece work that pays employees based upon the number of items they assemble. A call center that pays agents based on how many calls they complete per day. A bank teller who gets rewarded for how many customers they sign up for credit cards. An IT project team that gets a bonus for completing a major project ahead of schedule. The IT example differs from the others, because it depends on team and not individual execution, but there nevertheless is something tangible to measure. The other use cases are more clearcut -- although they don’t account for pieces in the plant that were poorly assembled in haste to make quota and had to be reworked, or a call center agent who pushes calls off to someone else so they can end their calls in six minutes or less, or the teller who signs up X number of customers for credit cards, although two-thirds of them never use the credit card they signed up for. Related:In short, there are flaws in pay-for-performance models just as there are in other types of compensation models that organizations use. So, what’s the best path for IT for CIOs who want to implement pay for performance? One approach is to measure pay for performance based upon four key elements: hard results, effort, skill, and communications. The mix of these elements will vary, depending on the type of position each IT staff member performs. Here are two examples of pay per performance by position: 1. Computer maintenance programmers and help desk specialists Historically, IT departments have used hard numbers like how many open requests a computer maintenance programmer has closed, or how many calls a help desk employee has solved. There is merit in using hard results, and hard results should be factored into performance reviews for these individuals -- but hard numbers don’t tell the whole story.  For example, how many times has a help desk agent gone the extra mile with a difficult user or software bug, taking the time to see the entire process through until it is thoroughly solved? lf the issue was of a global nature, did the Help Desk agent follow up by letting others who use the application know that a bug was fixed? For the maintenance programmer who has completed the most open requests, which of these requests really solved a major business pain point? For both help desk and maintenance programming employees, were the changes and fixes properly documented and communicated to everyone with a need to know? And did these employees demonstrate the skills needed to solve their issues? Related:It’s difficult to capture hard results on elements like effort, communication and skills, but one way to go about it is to survey user departments on individual levels of service and effectiveness. From there, it’s up to IT managers to determinate the “mix” of hard results, effort, communication and skills on which the employee will be evaluated, and to communicate upfront to the employee what the pay for performance assessment will be based on. 2. Business analysts and trainers Business analysts and trainers are difficult to quantify in pay for performance models because so much of their success depends upon other people. A business analyst can know everything there is to know about a particular business area and its systems, but if the analyst is working with unresponsive users, or lacks the soft skills needed to communicate with users, the pay for performance can’t be based upon the technology skillset alone.  Related:IT trainers face a somewhat different dilemma when it  comes to performance evaluation: they can produce the training that new staff members need before staff is deployed on key projects,  but if a project gets delayed and this causes trainees to lose the knowledge that they learned, there is little the trainer can do aside from offering a refresher course. Can pay for performance be used for positions like these? It’s a mixed answer. Yes, pay per performance can be used for trainers, based upon how many individuals the trainer trains and how many new courses the trainer obtains or develops. These are the hard results. However, since so much of training’s execution depends upon other people downstream, like project managers who must start projects on time so new skills aren’t lost,  managers of training should also consider pay for performance elements such as effort (has the trainer consistently gone the extra mile to make things work?), skills and communication.  In sum, for both business analysts and trainers, there are hard results that can be factored into a pay for performance formula, but there is also a need to survey each position’s “customers” -- those individuals (and their managers) who utilized the business analyst’s or trainer’s skills and products to accomplish their respective objectives in projects and training. Were these user-customers satisfied?  Summary Remarks The value that IT employees contribute to overall IT and to the business at large is a combination of tangible and intangible results. Pay for performance models are well suited to gauge tangible outcomes, but they fall short when it comes to the intangibles that could be just as important. Many years ago, when Pat Riley was coaching the Los Angeles Lakers, an interviewer asked what type of metrics he used when he measured the effectiveness of individual players on the basketball court. Was it the number of points, rebounds, or assists? Riley said he used an “effort" index. For example, how many times did a player go up to get a rebound, even if he didn’t end up with the ball? Riley said the effort individual players exhibited mattered, because even if they didn’t get the rebound, they were creating situations so someone else on the team could. IT is similar. It’s why OKR International, a performance consultancy, stated “Intangibles often create or destroy value quietly -- until their impact is too big to ignore. In the long run, they are the unseen levers that determine whether strategy thrives or withers.”  What CIOs and IT leadership can do when they use pay for performance is to assure that hard results, effort, communications and skills are appropriately blended for each IT staff position, and its responsibilities and realities -- because you can’t attach a numerical measurement to everything -- but you can observe visible changes that begin to manifest when a business analyst turns around what has been a hostile relationship with a user department and you begin to get things done.