A team led by researchers at the University of Illinois Chicago and UC Davis has developed a method to 3D bioprint tissue-specific, high cell-density bioinks capable of forming complex multiphase constructs. Published in Materials Today, the study introduces a platform that combines individual or aggregate-based stem cell bioinks with localized growth factor delivery, offering precise control over spatial differentiation and tissue development. Using a shear-thinning, photocrosslinkable alginate microgel supporting bath, the research team successfully printed structures with high shape fidelity and tunable degradation. These constructs enable self-assembly through cellular condensation and localized differentiation into distinct tissues such as cartilage and bone. After four weeks of culture, the bioprinted structures maintained their original geometry and exhibited clear phase separation between chondrogenic and osteogenic regions. A new approach to bioink precision Conventional bioprinting approaches often rely on biomaterial-laden inks that can interfere with direct cell–cell interactions and degrade unpredictably. To overcome these limitations, the researchers developed bioinks containing either individual stem cells or multicellular aggregates, combined with gelatin microparticlesloaded with growth factors such as TGF-β1 and BMP-2.These formulations demonstrated favorable rheological properties, shear-thinning, self-healing, and low yield stress, making them well-suited for extrusion-based bioprinting. Critically, the growth factor-loaded GMs allowed for spatially controlled, sustained biochemical signaling without requiring external supplementation.Following 3D printing and stabilization of the supporting bath, stem cells underwent lineage-specific differentiation, resulting in stable osteochondral constructs. Histological and biochemical analyses confirmed targeted extracellular matrix deposition and distinct tissue boundaries at the cartilage–bone interface.3D printing of the tissue specific high cell-density bioinks within the OMA microgel supporting bath, which fluidizes via its shear-thinning property. When the printing needle fluidizes the mechanical stable OMA microgels, tissue specific high cell-density bioinks can fill the shear-thinning region. After the needle passes, the OMA microgel bath can be stabilized by its self-healing propertyto firmly hold the printed bioinks. Image via Jeon et al., Materials Today. From biomaterials to biofunction While 3D bioprinting has long promised the recreation of complex biological architectures, printing functional, multicellular, multi-tissue constructs remains a key challenge. Cell-only bioinks often require preformed strands or aggregates, limiting resolution and design flexibility. The approach developed by Jeon et al. addresses this gap, enabling high-resolution deposition of cell-dense bioinks that self-organize into biologically relevant structures. Characterization of resolution and shape fidelity and chondrogenic differentiation of 3D bioprinted constructs.Photomicrographs of the 3D printed individual cell-based tissue specific bioink filamentsinto OMA microgel supporting baths with a 22G printing needle andquantification of their mean diameters, demonstrating the capability of high-resolution printing with narrow filament diameter distribution. Scale bars indicate 500 μm. N.S.: Not significant.Digital images andphotographs of the 3D printed structures, demonstrating high shape fidelity. The scale bars indicate 5 mm.Photomicrographs of Saf-O/Fast Green stained construct sections cultured in BPMand CPM. The scale bars indicate 500 μm.Quantification of GAG/DNA in the chondrogenically differentiated 3D printed constructs. These demonstrate hMSC differentiation and deposition of chondrogenic extracellular matrixin the individual cell-based tissue specific bioink printed constructs. N.S.: Not significant. Image via Jeon et al., Materials Today. Recent innovations have similarly advanced bioink design and tissue engineering. Researchers at Seoul National University of Science and Technology, developed a  SCOBY-derived bioink to 3D print cellulose scaffolds for direct tissue repair, while another team created a personalized heart-on-a-chip using photopolymerizable, patient-specific bioinks. Bio INX and Readily3D launched a ready-to-use bioink for volumetric bioprinting, and Texas A&M engineered a specialized vascular-specific bioink tailored for blood vessel formation. Elsewhere, studies have demonstrated functional brain tissue constructs with active neural networks, and Frontier Bio received a 2024 3DPI Award for developing lung-like tissue in vitro. Jeon et al.’s work builds on these efforts by integrating localized growth factor delivery into high cell-density bioinks, enabling the fabrication of multiphase tissues with fine spatial control and biological fidelity.By controlling the spatial presentation of bioactive cues within densely cellular environments, the platform holds promise for regenerative medicine, disease modeling, and drug screening. Future research will aim to enhance tissue maturation and incorporate vascularization to improve functionality and translational potential. What 3D printing trends should you watch out for in 2025? How is the future of 3D printing shaping up? Subscribe to the 3D Printing Industry newsletter to keep up with the latest 3D printing news.You can also follow us onLinkedIn and subscribe to the 3D Printing Industry Youtube channel to access more exclusive content. #researchers #bioprint #engineered #tissues #using

News Mario Kart World, Donkey Kong Bananza “Could Not Be Realised” on Original Switch – President Nintendo president Shuntaro Furukawa spoke about how the older hardware of the Switch couldn't support new gameplay experiences. Posted By Joelle Daniels | On 14th, May. 2025 While Nintendo has already revealed its forecasts for the sales of the Switch 2 for the next fiscal year, president Shuntaro Furukawa also spoke about the original Switch during an investor Q&A. As caught by GamesRadar, Furukawa mentioned that one of the main reasons for Nintendo to create the Switch 2 was so that developers could work with upgraded hardware. Answering a question about whether the Switch 2 would just be a stopgap console release sandwiched between the original Switch and a more radical new offering down the line, Furukawa spoke about why Nintendo made the choices it did with the upcoming console. In his answer, he said that offering new gameplay experiences was one of the key reasons for the new hardware. “Over the course of these eight years and counting, it has become necessary to increase hardware processing performance in order for software developers to realize one of Nintendo’s most valued tenets: offering new gameplay experiences.” Furukawa said. “Thus, this time we decided to design the hardware with enhanced processing capability. We believe that Mario Kart World and Donkey Kong Bananza offer new gameplay experiences that could not be realized on Nintendo Switch.” Furukawa also spoke about the company’s plans for games going forward, and how it will ultimately make the upcoming Switch 2 the “new standard” for the kind of hardware that developers and customers can expect from the company. “Going forward, we will develop a variety of new titles centered on Nintendo Switch 2 and offer new gameplay experiences,” he said. “We aim to make Nintendo Switch 2 the new standard for Nintendo Switch, as hardware that continues to provide fresh surprises to our consumers.” During the same Q&A, Furukawa had also spoken about the company’s target of selling 15 million units of the Switch 2. He also noted that the conservative forecast for the new console largely came about because of its higher cost, which in turn is expected to add more hurdles when it comes to wider adoption by the player base. “We’ve set projected sales for the Nintendo Switch 2 in the ongoing fiscal year at 15 million units,” said Furukawa. “This figure is based on a target comparable to sales of the original Nintendo Switch during the 10-month period from its launch in March 2017 to the end of December the same year.” “Since the Switch 2 is priced higher than the original Switch, we recognize that there will be considerable hurdles in achieving the console’s widespread adoption in the early stages,” he continued. While Nintendo is gearing up for the June 5 launch of the console, in its recent earnings report, the company also noted that it will continue to support the original Switch with more game releases down the line. Some of the games noted to be coming out for the older console include Pokemon Legends: Z-A, Metroid Prime 4: Beyond, Rhythm Heaven Groove, Tomodachi Life: Living the Dream, and Pokemon Champions. The company has also noted that the $449.99 price tag for the Switch 2 might get affected down the line because of the affects of the US’s tariffs on imported goods. Tagged With: Elden Ring: Nightreign Publisher:Bandai Namco Developer:FromSoftware Platforms:PS5, Xbox Series X, PS4, Xbox One, PCView More DOOM: The Dark Ages Publisher:Bethesda Softworks Developer:id Software Platforms:Xbox Series X, PS5, PCView More Death Stranding 2: On the Beach Publisher:Sony Developer:Kojima Productions Platforms:PS5View More Amazing Articles You Might Want To Check Out! Mario Kart World, Donkey Kong Bananza “Could Not Be Realised” on Original Switch – President Nintendo president Shuntaro Furukawa spoke about how the older hardware of the Switch couldn't support new gam... 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View More Source: https://gamingbolt.com/mario-kart-world-donkey-kong-bananza-could-not-be-realised-on-original-switch-president #mario #kart #world #donkey #kong #bananza #could #not #realised #original #switch #president

Hyper-converged infrastructure pioneer Nutanix is among a number of suppliers that smell blood in the water when it comes to VMware and its customers following the virtualisation giant’s acquisition by Broadcom. At Nutanix’s annual .Next bash in Washington DC last week, migration away from VMware and to – it hopes – its own Acropolis hypervisor (AHV) was a constant theme. As part of this, it gathered three customers to talk about their experiences of moving from VMware to Nutanix.  Of these, only one was directly attributable to Broadcom’s licensing changes, but Broadcom-Amazon Web Services (AWS) relations were key to another. We asked them about their journey to Nutanix and away from VMware, as well as the precise pain points that prompted their decisions. Here, we talk to: Dom Johnston, IT manager for Golding in Brisbane, Australia, which is a heavy civil and mining contracting company that has operated on the east coast of Australia for about 75 years.  Kee Yew Wei, associate vice-president for infrastructure and operations at MSIG, which is a Japan-headquartered insurance company that operates internationally.  Mike Taylor, hospital ship joint task director for Military Sealift Command and the US Navy, which operates two hospital ships, Mercy (pictured above) and Comfort. Dom Johnston: Golding had its infrastructure sitting in VMware on AWS. We had a three-year contract with VMware for that platform, which ended in February this year. About March of last year, there was a fairly public divorce between VMware and AWS. We weren’t sure where that left us.  To cut a long story short, with what we saw over the next two to three months from there, we considered the risk of leaving our infrastructure there beyond the end of that three-year contract was too great for us. Golding had its infrastructure sitting in VMware on AWS. [After the] fairly public divorce between VMware and AWS, we weren’t sure where that left us. With what we saw over the next two to three months, we considered the risk of leaving our infrastructure there beyond the end of that three-year contract was too great. Nutanix has kind of swung in to replace that Dom Johnston, Golding So we went out to market to look at alternatives. And Nutanix has kind of swung in to essentially replace that. We use NC2 [Nutanix Cloud Clusters] to run our production workloads in AWS, for our DR [disaster recovery] capability, and that’s essentially to directly replace the functionality that existed within AWS and VMware Cloud Disaster Recovery, which was the DR product that sat alongside that.  So essentially, our DR strategy is that if an event occurs, we immediately spin up the DR environment ready to accept a workload. In the event that is not required, it’s spun back down again, and we’ve lost, you know, a couple 100 bucks worth of compute usage.  Kee Yew Wei: Our journey with Nutanix is from 2017. We were looking for a hyper-converged system to simplify our environment, to do away with the traditional three-tier legacy system, to simplify our environment, and to reduce our datacentre footprint.  Nutanix is the system, but we didn’t have full confidence in Acropolis at that time, because it was quite new compared to VMware.  After a couple of years using Nutanix, we built confidence, so we have recently migrated all our VMware to Nutanix AHV. We completed the full migration last month.  All this came about after the acquisition by Broadcom, and we received a quotation with a 300% to 400% increase on our renewal pricing. So, then we made the decision to go for Nutanix.  We started planning somewhere around Q3 last year and were quite conservative, with completion planned for maybe somewhere in Q2 this year. My team migrated 1,000 to 2,000 VMs [virtual machines] from Q4 and completed that at the beginning of April. So today, we are a full Nutanix house. Mike Taylor: Our story with Nutanix started way back in 2017. We’d been Nutanix lookers for a long time.  On my ships, we had 1,000 blade servers and EMC tiered storage taking up multiple racks. But on the ships, there’s only a finite amount of power they generate, so I needed to find a way to bring everything down into a smaller footprint – but a smarter, smaller footprint, something that would allow me to very elegantly manage and have ease of use that my teams aboard the ships could deal with.  After a couple of years using Nutanix, we built confidence, so we have recently migrated all our VMware to Nutanix AHV Kee Yew Wei, MSIG So, we did a bake-off with Dell, Cisco and Nutanix, and we implemented Nutanix on Mercy in 2019 and Comfort in 2020. Now, we’re looking at generational refreshes of all of our equipment and probably expanding from there and getting some new features, with redundancy and disaster recovery. We do have an onboard continuity-of-operations rack, so we have mirrored failover clusters of Nutanix aboard the ships.  Now we’re all Nutanix. Everything moved over. That’s like, out of 80-something servers, we only had two or three servers that had hiccups.  Taylor: I remember standing in my main datacentre on the hospital ships. It’s very anticlimactic if you ever get to go; I just have five racks, but two of those five were purely just to run my server infrastructure. I remember standing there with one of my peers, and we were looking at it and we said, “Oh, hey, we’re still using SAN directors.” And SAN was going away, they were on their way out.  Dell had come out with stuff like FX, and other people were dabbling with hyper-converged, whereas Nutanix had already done it, and they had their own software, which was easy to understand for my engineers. So, I’m looking at these racks full of equipment, especially the VNX, which was power hungry. So, we said, “There has to be a better way to do this.” Energy was the problem. Energy was the driver to finding a solution.  We weren’t impacted by the Broadcom event. We got in before it. I do still run some VMware, so I am impacted by it there. The challenge we have incurred in continuing to operate that small part isn’t financial. It’s purely that I can’t get to updates. I can’t get to download them. It’s support aspects of the change that impact us the most, not the financial part of it.  If we hadn’t moved to Nutanix, if we were still purely ESXi, the financial part would certainly be a burden, like it is for other military commands.  Johnston: After AWS and VMware had their thing, we were notified by VMware that we were no longer able to spin up our on-demand DR cluster. They told us that, essentially, we could still use our DR plan if we powered down our production cluster before spinning up a DR cluster. We were testing quarterly, but we were no longer able to do that. In fact, we shifted to testing monthly because there was so much uncertainty in that space. We were left in a situation where, because we couldn’t test, we had zero confidence.  Kee Yew Wei: It was all about cost. We got a bill with a 300% to 400% increase on our last renewal. So, this is one of the key factors that drove us to migrate all our workloads to Nutanix. Taylor: The trade-offs are very, very light, if any. My people were very seasoned with ESXi VMware Tools and the orchestration that VMware had.  But the learning curve for Nutanix is very short. It’s very easy to pick up, but you have to learn it. There’s a different way to import an OVA, as opposed to the way you do it within the VMware ecosystem, for example. So, the trade-off is really just time to become a master at using the system with regard to functionality.  The learning curve for Nutanix is very short. It’s very easy to pick up Mike Taylor, US Navy In fact, I think I have enhanced capability using AHV as my hypervisor. When it comes to security, using VMware with the military, we have to submit vulnerability scans constantly. That’s just part of our regular drumbeat. I still run VMware on classified parts of my network, and it is very challenging to keep it secure and up to date. I don’t have that issue with Nutanix. Johnson: I second that. As far as trade-offs are concerned, or the functionality, it’s really just a question of semantics in relation to the differences between the two platforms. The way that Nutanix handles snapshots is different to the way that VMware handles snapshots. That was a learning curve for us. It’s like going from Windows 10 to Windows 11. Things are in a different spot, but it’s the same functionality.  You need to prepare your team, get them training, show them what to do. I don’t think there’s any loss of functionality. In fact, I think there are faster workflows, better availability of tools.  Kee Yew Wei: I don’t see trade-offs. Maybe 10 years ago, compatibility with other suppliers’ software might have been an issue, like backup solutions such as [Veritas] NetBackup. Maybe seven or eight years ago, they did not support Nutanix. But that’s not the case today. Read more about virtualisation and storage University will ‘pull the plug’ to test Nutanix disaster recovery: University of Reading set to save circa £500,000 and deploy Nutanix NC2 hybrid cloud that will allow failover from main datacentre.  NHS trust cloud plans hampered by Trump tariff uncertainty: Essex NHS wants to move some capacity to the Nutanix cloud, but can’t be certain prices will hold between product selection and when procurement plans gain approval.  Source: https://www.computerweekly.com/feature/Roundtable-Why-did-customers-sail-away-from-VMware #roundtable #why #did #customers #sail #away #from #vmware

Identifying the exact location of a software issue—such as a bug or feature request—remains one of the most labor-intensive tasks in the development lifecycle. Despite advances in automated patch generation and code assistants, the process of pinpointing where in the codebase a change is needed often consumes more time than determining how to fix it. Agent-based approaches powered by large language models (LLMs) have made headway by simulating developer workflows through iterative tool use and reasoning. However, these systems are typically slow, brittle, and expensive to operate, especially when built on closed-source models. In parallel, existing code retrieval models—while faster—are not optimized for the verbosity and behavioral focus of real-world issue descriptions. This misalignment between natural language inputs and code search capability presents a fundamental challenge for scalable automated debugging. SWERank — A Practical Framework for Precise Localization To address these limitations, Salesforce AI has introduced SWERank, a lightweight and effective retrieve-and-rerank framework tailored for software issue localization. SWERank is designed to bridge the gap between efficiency and precision by reframing localization as a code ranking task. The framework consists of two key components: SWERankEmbed, a bi-encoder retrieval model that encodes GitHub issues and code snippets into a shared embedding space for efficient similarity-based retrieval. SWERankLLM, a listwise reranker built on instruction-tuned LLMs that refines the ranking of retrieved candidates using contextual understanding. To train this system, the research team curated SWELOC, a large-scale dataset extracted from public GitHub repositories, linking real-world issue reports with corresponding code changes. SWELOC introduces contrastive training examples using consistency filtering and hard-negative mining to ensure data quality and relevance. Architecture and Methodological Contributions At its core, SWERank follows a two-stage pipeline. First, SWERankEmbed maps a given issue description and candidate functions into dense vector representations. Using a contrastive InfoNCE loss, the retriever is trained to increase the similarity between an issue and its true associated function while reducing its similarity to unrelated code snippets. Notably, the model benefits from carefully mined hard negatives—code functions that are semantically similar but not relevant—which improve the model’s discriminative capability. The reranking stage leverages SWERankLLM, a listwise LLM-based reranker that processes an issue description along with top-k code candidates and generates a ranked list where the relevant code appears at the top. Importantly, the training objective is adapted to settings where only the true positive is known. The model is trained to output the identifier of the relevant code snippet, maintaining compatibility with listwise inference while simplifying the supervision process. Together, these components allow SWERank to offer high performance without requiring multiple rounds of interaction or costly agent orchestration. Insights Evaluations on SWE-Bench-Lite and LocBench—two standard benchmarks for software localization—demonstrate that SWERank achieves state-of-the-art results across file, module, and function levels. On SWE-Bench-Lite, SWERankEmbed-Large (7B) attained a function-level accuracy@10 of 82.12%, outperforming even LocAgent running with Claude-3.5. When coupled with SWERankLLM-Large (32B), performance further improved to 88.69%, establishing a new benchmark for this task. In addition to performance gains, SWERank offers substantial cost benefits. Compared to Claude-powered agents, which average around $0.66 per example, SWERankLLM’s inference cost is $0.011 for the 7B model and $0.015 for the 32B variant—delivering up to 6x better accuracy-to-cost ratio. Moreover, the 137M parameter SWERankEmbed-Small model achieves competitive results, demonstrating the framework’s scalability and efficiency even on lightweight architectures. Beyond benchmark performance, experiments also show that SWELOC data improves a broad class of embedding and reranking models. Models pre-trained for general-purpose retrieval exhibited significant accuracy gains when fine-tuned with SWELOC, validating its utility as a training resource for issue localization tasks. Conclusion SWERank introduces a compelling alternative to traditional agent-based localization approaches by modeling software issue localization as a ranking problem. Through its retrieve-and-rerank architecture, SWERank delivers state-of-the-art accuracy while maintaining low inference cost and minimal latency. The accompanying SWELOC dataset provides a high-quality training foundation, enabling robust generalization across various codebases and issue types. By decoupling localization from agentic multi-step reasoning and grounding it in efficient neural retrieval, Salesforce AI demonstrates that practical, scalable solutions for debugging and code maintenance are not only possible—but well within reach using open-source tools. SWERank sets a new bar for accuracy, efficiency, and deployability in automated software engineering. Check out the Paper and Project Page. 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 90k+ ML SubReddit. Here’s a brief overview of what we’re building at Marktechpost: ML News Community – r/machinelearningnews (92k+ members) Newsletter– airesearchinsights.com/(30k+ subscribers) miniCON AI Events – minicon.marktechpost.com AI Reports & Magazines – magazine.marktechpost.com AI Dev & Research News – marktechpost.com (1M+ monthly readers) Partner with us 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 Guide to Build a Fast Semantic Search and RAG QA Engine on Web-Scraped Data Using Together AI Embeddings, FAISS Retrieval, and LangChainAsif Razzaqhttps://www.marktechpost.com/author/6flvq/A Step-by-Step Guide to Deploy a Fully Integrated Firecrawl-Powered MCP Server on Claude Desktop with Smithery and VeryaXAsif Razzaqhttps://www.marktechpost.com/author/6flvq/OpenAI Releases HealthBench: An Open-Source Benchmark for Measuring the Performance and Safety of Large Language Models in HealthcareAsif Razzaqhttps://www.marktechpost.com/author/6flvq/PrimeIntellect Releases INTELLECT-2: A 32B Reasoning Model Trained via Distributed Asynchronous Reinforcement Learning Source: https://www.marktechpost.com/2025/05/13/agent-based-debugging-gets-a-cost-effective-alternative-salesforce-ai-presents-swerank-for-accurate-and-scalable-software-issue-localization/ #agentbased #debugging #gets #costeffective #alternative #salesforce #presents #swerank #for #accurate #and #scalable #software #issue #localization

Consumer intelligence company Morning Consult has publicly launched a new AI platform that can almost instantly provide detailed insights into its survey data in response to questions posed in plain language. Morning Consult conducts roughly 30,000 interviews daily across dozens of countries, enabling clients to access in-depth information about consumer sentiment toward brands, public figures, political trends, spending behaviors, and other factors critical to their businesses. Historically, extracting and analyzing that data required time and expertise in data analytics and visualization—a challenge for business leaders needing quick answers. “The feedback I kept hearing from C-suite executives was: I don’t want to wait to send this email off and find out the answer after I had to make the decision,” says Morning Consult CEO Michael Ramlet. “I need the data right now, and I need to be able to ask it questions.” With the new platform MorningConsult.AI, business leaders and other users can ask questions such as how a brand is performing in a specific country or how its key metrics compare with competitors over the past year. The AI typically generates answers within seconds, complete with data visualizations. Users can drill down further, filtering results by age, race, or other demographics. Those monitoring fast-changing factors, such as U.S. tariff policies, can revisit the platform over time to track shifts using Morning Consult’s continually expanding data set. Because the AI internally queries Morning Consult’s proprietary data, the results shown in graph form are transparent and traceable, avoiding the hallucination issues found in general-purpose AI. “This can’t hallucinate,” Ramlet says. “If there’s not data on that topic, it’s not going to bring you back any data that isn’t relevant to the specific business question.” The platform is fast enough for real-time use during meetings or calls, whether viewed on a large screen or quickly accessed on a smartphone. Michael Stutts, chief brand officer at Dollar Shave Club, says he recently used the AI to generate state-level breakdowns of brand awareness, net positivity, and other metrics, with heat maps produced almost instantly. “Within seconds I had what would have taken untold amounts of time and resources to do,” he says. On a call with a retail partner, Stutts was able to immediately answer a question using the AI, eliminating the need to follow up later after internal consultation. According to Ramlet, the platform continues to improve as AI models grow more powerful. Since its initial release to Morning Consult clients in November 2024, the system has gained the ability to analyze and summarize data in text, thanks to advances in commercial AI. “All of a sudden, in the last four months, we’ve seen just an entirely different level of capability to do that type of comparative analytical analysis,” Ramlet says. Currently in public beta testing, the platform is available to anyone. Ramlet envisions a free version will always exist, making Morning Consult’s insights accessible to students, small businesses, and others without extensive data capabilities. At the same time, the company is developing more advanced AI agents to generate tailored outputs, such as marketing reports or executive briefings. Just as crucial as the AI, Ramlet says, is Morning Consult’s proprietary data, which competitors can’t easily replicate. “You can’t go back in time and collect that data,” he says. “And I think that’s the part of this that’s going to be really compelling—AI is going to make it easier to use proprietary data sets than in the past.” Source: https://www.fastcompany.com/91333723/morning-consult-launches-an-ai-tool-makes-survey-data-a-breeze #polling #giant #morning #consult #using #help #dig #through #survey #data

At a glanceExpert's Rating Pros Attractive industrial design RGBWW LEDs deliver millions of colors and selectable white color temperatures Individual lights are rated IP65 for protection from the elements Can be triggered by Eufy security cameras Cons Lights deliver more ambience than illumination (350 lumens each) Maximum reach from the power supply to the fourth and final bollard is 50 feet Power supply has only an IP44 weatherization rating Our Verdict Eufy Outdoor Pathway Lights E10 are an affordable means of illuminating your walkways, decorating your landscaping, and enhancing your home security when combined with cameras, but they’re not best in class.  Price When Reviewed This value will show the geolocated pricing text for product undefined Best Pricing Today Anker’s Eufy division has been going all out developing new and innovative outdoor lighting products, with its latest offering being the Eufy Outdoor Pathway Lights E10 reviewed here. As with Eufy’s other landscape lighting products, including the Eufy Outdoor Spotlights E10 we reviewed in December 2024, these path lights connect directly to your 2.4GHz Wi-Fi network (after an initial connection via Bluetooth; 5GHz Wi-Fi networks are not supported). You can also use a Bluetooth-only connection with these lights, but a Wi-Fi connection is needed to unlock their complete feature set. I’ll go into more detail about what you can do with the lights later. Specifications These tall and attractive bollard-style lights feature aluminum enclosures with a matte black finish and RGBWW LEDs inside, meaning each light has discrete red, green, blue, and warm white diods to deliver saturated colors and tunable white color temperatures. Each bollard’s light radiates from a 3.5-inch-high band of frosted plastic encircling the enclosure and a second shorter lens of the same style atop the cylinder, so light shines up as well as out. The Eufy Outdoor Pathway Lights E10 kit consists of four bollard-style lights and stakes, a power supply, and an on/off switch inline of 50 feet of low-voltage electrical cable.Michael Brown/Foundry The lights aren’t super bright, however, delivering just 350 lumens each; don’t expect a large pool of light to illuminate a path (the Eufy Outdoor Spotlights E10 are brighter, producing 500 lumens each, but four of those would set you back $200 versus $170 for this kit). In addition to a rainbow of colors, you can tune these pathlights’ white color temperature from a very warm 1500 Kelvin to an extremely cool 9000K (natural sunlight is roughly between 4000- and 6500K, depending on conditions and the time of day). The lights are individually addressable, so you can choose a distinct shade for each light. You can also assign animation routines that will cycle the colors through the chain. That’s in addition to the many preset lighting effects that I’ll discuss in more detail later. Eufy Outdoor Pathway Lights E10 are rugged and well protected from the elements, and they produce very good quality light. Each Eufy Outdoor Pathway Light is about 15 inches tall, and they come with 6-inch stakes for installation in soft soil. Unlike the much more expensive Philips Hue Calla bollard light I reviewed several years ago ($130 for one, not including the power supply or the required Hue bridge), Eufy doesn’t provide any means for installing the lights on hardscape, such as a deck or a concrete patio. While Eufy gives the individual bollards a weatherization rating of IP65, meaning the lights are impervious to dust ingress and that they can withstand a blast from a pressure washer at a reasonable distance, the power supply they depend on is an ordinary wall wart with a much weaker weatherization rating of just IP44. Eufy uses rugged DIN-style barrel connectors that are well protected from the elements.Michael Brown/Foundry According to TechHive’s IP code guide, that means the power supply is only protected against particulate matter larger than 1 millimeter, but that it can withstand water sprayed from any direction. Given that, you’ll want to ensure the power supply is at least plugged into an outlet with a bubble cover to protect it from rain. The lights have an operating temperature range of -4 degrees Fahrenheit to 104F. Installation and setup Eufy uses barrel-type DIN connectors that are well protected from water to make each cable connection. The cable itself carries only 27 volts of electricity, so it can be buried directly in a 6-inch trench, as per the National Electrical Code (specifically, NEC 3000.5(A)). For this temporary installation, I took the easy way out and just covered it with mulch. (Pro gardening tip: mulch also happens to be the best weed deterrent for the money, provided you put it down thick enough to prevent sunlight from reaching any weed seeds in your soil). The system’s maximum cable run is about 50 feet, with each bollard spaced 9.8 feet apart. You can put the lights closer together if you’d like, but they can be no more than 9.8 feet apart. There’s an 11-inch first segment, leading from the power supply to a 13.4-foot cable that has a small puck-style on/off switch in the middle. The next segment is 4.9 feet long and goes from that cable to the first light in your run. The remaining three lights are then spaced 9.8 feet apart, as I’ve already mentioned. The first three lights connect to a T junction on the low-voltage cable, but the cable terminates in a single-ended connection; the run cannot be extended beyond four lights.Michael Brown/Foundry As does Philips, Eufy uses T-connectors to connect the first three lights to the run of power cable (there’s a single-ended connector at the end of the run). Unlike Philips, however, Eufy’s system cannot be extended beyond four lights—its power supply can’t handle the additional load, and the cable terminates in a single connector (not a T). If 50 feet isn’t enough to run the length of your walkway, you’ll need to buy another 4-light kit and power supply. But that alone won’t solve your distance issue, because you shouldn’t rely on even an outdoor-rated extension cord for permanent lighting—and you certainly shouldn’t bury such a high-voltage (120V) cord in the ground. These are some of the reasons I like the Philips Hue approach so much. You can buy larger or smaller power supplies, depending on how many lights you intend to deploy, and Philips Hue cables and connectors are much more versatile when it comes to overall length, the distance between lights, and branching. Using the Eufy Outdoor Pathway Lights E10 This inline on/off button will be useful for those times when you don’t have your phone and you’re out of range of a smart speaker.Michael Brown/Foundry You’ll want to plug in all the lights and add them to either the Eufy app or the Eufy Life app before you place them permanently, just in case you encounter any defects that would prompt you to return the kit. This will also give you an opportunity to install any firmware updates that might be available. The Eufy app is used primarily for Eufy security cameras, smart locks, video doorbells, and its security system, but you can use it to set up and later control at least some of the features of the Eufy Outdoor Pathway Lights. You’ll need to use the Eufy Life app, however, to access all the features of Eufy’s smart lighting products. You control Eufy’s pathlights over a Bluetooth connection, but you’ll want to use Wi-Fi to get the full value out of the product, including its AI features.Michael Brown/Foundry You can use either app to customize the color or the white color temperature of the lights or to choose from dozens of lighting scenes based on holidays, seasons, emotions, events, or even flags or the weather. An AI feature, meanwhile, will generate custom lighting scenes based on up to 100-character phrases you type into the app. Some of the phrases the app suggests are: “Today is my birthday;” “My wife loves me;” and “Ocean waves at sunset.” You can use your phone’s camera to capture text for this purpose, but you can’t use its mic to record phrases. This novel AI feature is mildly entertaining, but it doesn’t really add all that much value to the package. Linking Eufy’s pathlights to a Eufy security camera The most important feature you’ll want to enable in the Eufy Life app—assuming you also own one of the many Eufy security cameras that features Eufy’s WonderLink technology—is to configure one of those cameras to trigger Eufy smart lights. This capability isn’t unique to Eufy smart home products; Ring security cameras, for example, can trigger Ring smart lights, and Philips Hue security cameras can do the same with Philips Hue lights. But in all three cases, the cameras can only trigger lights made by the same manufacturer. There are workarounds—you can set up a routine in IFTTT or in the Alexa app, for example—but workarounds are never as easy as using a native app. Perhaps when security cameras become a category in the Matter standard, that limitation will fall away. If you also own Eufy security cameras, video doorbells, or certain other Eufy products, you can use the Eufy Life app to have those devices trigger the pathlights to light up with your choice of scenes. Michael Brown/Foundry In any event, you’ll click on the LuminoLink button at the bottom right-hand side of the Eufy Life app. This will open an IFTTT-like configuration screen that lets you choose devices to serve as triggers and devices that will perform actions when your defined conditions are met. Within the Eufy Life app, I configured a Eufy S330 security camera to trigger the Eufy Outdoor Pathway Lights to turn on a “Welcome” scene at 100 percent brightness when the camera detects a person in its field of view between sunset and sunrise. You can choose from dozens of such lighting scenes or create your own. This review is part of TechHive’s in-depth coverage of the best smart lighting. You can also set up a trigger that sets the pathlights to flashing red if the camera detects a person, but while the camera and the Eufy Homebase 3 NAS box that works with it can discern between friends, family, neighbors, and strangers, you can’t restrict the light’s triggered behavior to when a stranger is detected. Should you buy Eufy Outdoor Pathway Lights E10? The Eufy Outdoor Pathway Lights E10 is one of the better smart lighting solutions out there. The lights are rugged and well protected from the elements, and they produce very good quality light in colors and white color temperatures. And its ability to link to Eufy cameras is a very good feature, although it would be even more useful if it could trigger a lighting behavior when the camera detects a stranger. But a power supply that’s limited to supporting four lights and 50 feet of wire is only enough for a relatively short path. The maximum distance between each bollard is another drawback. If money is no object, Philips Hue landscape lighting is a far superior alternative. That said, I don’t know anyone for whom money is no barrier to outfitting their home out with the absolute best smart products on the market, and a single Philips Hue Calla light and power supply costs more than a 4-pack of these Eufy lights. Source: https://www.pcworld.com/article/2775132/eufy-outdoor-pathway-lights-e10-review.html #eufy #outdoor #pathway #lights #e10 #review #walk #this #way

Tesla has shared a new video showing its Optimus humanoid robot pulling some rather impressive dance moves. While the nifty footwork might not be much use for the industrial settings that the robot is destined for, the 60-second clip effectively showcases its increasing agility and lifelike range of motion. The clip comes a day after Optimus boss Milan Kovac said in an online post that his robotics team “has been working very hard in the background.” Recommended Videos Kovac added that for the dancing, Optimus, also known as the Tesla Bot, was trained entirely in simulation, with reinforcement learning. He also noted that the cable in the second clip was in place “in case of a fall” and was not actually holding the robot. Related The third generation of the Tesla Bot was unveiled in March 2025. It features significant design and functional upgrades that include a 22-degree-of-freedom hand (up from 11 in previous versions), self-recharging capability, and advanced AI that allows the robot to learn tasks like a human rather than relying on traditional programming. Tesla chief Elon Musk has previously said that “thousands” of the robots could one day work alongside human staff at Tesla factories in the next year or two, taking care of “dangerous, repetitive, [and] boring tasks.” There are also plans for a commercial launch, with Musk claiming that Optimus could one day potter around the home as a household helper, or even “babysit your kid, walk your dog, mow your lawn, get the groceries, just be your friend, serve drinks.” At $20,000 a pop, it won’t come cheap, though there’s also been talk of offering a more affordable rental service. For decades we’ve been promised advanced, intelligent, and truly useful humanoid robots, and now the technology appears to be finally delivering. Tesla is now in a rapidly developing global race to build a practical humanoid robot, with major players such as Tesla, Figure AI, Apptronik, and Boston Dynamics competing alongside a string of impressive Chinese rivals.  Companies in the sector are keen to move toward mass production in a bid to address labor shortages and automate repetitive or dangerous tasks. While challenges like cost, safety, and real-world complexity remain, there’s a growing possibility that in the next few years, humanoid robots could enter the workplace — and even everyday life — at an unprecedented scale. Source: https://www.digitaltrends.com/computing/watch-teslas-humanoid-robot-pulling-some-nifty-dance-moves/ #watch #teslas #humanoid #robot #pulling #some #snappy #dance #moves

Tennis players know the struggle of finding consistent practice partners who match their skill level and availability. Traditional ball machines offer repetitive feeds but lack the dynamic interaction that makes tennis truly engaging and effective for skill development. While these machines can help with basic shot repetition, they fail to simulate the unpredictability, movement, and strategic elements that define real match play, leaving serious players with a significant gap in their training options. Enter Acemate, the revolutionary tennis robot that transforms solo practice into an authentic rally experience. Unlike conventional ball machines that simply shoot balls in predetermined patterns, Acemate actively moves across the court, tracks your shots with 4K binocular vision, and returns balls with human-like groundstrokes that respond to your play style. This breakthrough technology creates a training experience that closely mimics actual match conditions, allowing players to develop not just technical skills but also the tactical awareness and decision-making abilities essential for competitive success. Designer: Acemate Click Here to Buy Now: $1499 $2329 ($830 off). Hurry, only 28/290 left! Raised over $1,001,000. The robot’s 4K binocular camera system represents a quantum leap beyond the monocular vision found in other training devices. By capturing depth and speed similar to human eyes, Acemate achieves centimeter-level accuracy in tracking both the ball and your movements across the court. This precision enables the robot to position itself optimally for returns while analyzing your technique in real time, providing an experience that feels remarkably natural and responsive compared to the static drills of traditional practice methods. Players of all levels will appreciate Acemate’s versatile training modes designed to target specific aspects of the game. The Baseline Rally mode delivers customizable groundstrokes that keep you moving laterally and testing your consistency from the back of the court. Mini-court Rally offers gentler exchanges perfect for beginners or warm-up sessions, while Net Rally mode focuses on volleys with controlled feeds that enhance your reactions and hand-eye coordination at the net, addressing the full spectrum of skills needed for complete player development. Advanced players seeking higher-intensity training will love the Pro-level Simulation mode, which recreates iconic rally patterns inspired by ATP and Grand Slam matches. This feature allows you to experience the rhythm and intensity of professional exchanges, pushing your footwork, shot selection, and stamina to new heights. For serve practice, Acemate functions as both ball boy and coach, delivering balls directly to your hand while measuring serve speed and tracking placement accuracy, eliminating the tedious ball collection that typically interrupts valuable practice time. This versatility is thanks to Acemate’s mobility system, featuring four Mecanum wheels that allow omnidirectional movement, enabling the robot to glide across the court with surprising agility. This movement capability means you’ll be challenged to hit shots to different court positions just as you would against a human opponent, improving your court coverage and shot placement under realistic conditions. The robot adjusts its positioning based on your shots, creating the dynamic back-and-forth that makes tennis so engaging and developing the spatial awareness that static training simply cannot provide. The companion app transforms your smartphone or Apple Watch into a powerful training command center, offering real-time performance metrics and customization options from ball velocity to landing spots to shot types. After each session, receive comprehensive reports detailing your performance, as well as actionable insights that guide your improvement with the precision of professional coaching. The robot’s compact form and retractable handle make it surprisingly portable, and compatibility with all court surfaces without special setups maximizes your valuable practice time. With Acemate, your tennis practices transform from monotonous ball feeding into dynamic, responsive training that mirrors match conditions. Players gain a consistent, tireless partner that adapts to their level while providing detailed performance analytics previously available only to professionals. This breakthrough technology finally solves tennis’s fundamental training challenge, allowing players to develop complete game awareness and tactical skills even when hitting solo on the court. Click Here to Buy Now: $1499 $2329 ($830 off). Hurry, only 28/290 left! Raised over $1,001,000.The post Ace Your Tennis Training with Acemate’s Revolutionary Rally Robot first appeared on Yanko Design. Source: https://www.yankodesign.com/2025/05/13/ace-your-tennis-training-with-acemates-revolutionary-rally-robot/?utm_source=rss&utm_medium=rss&utm_campaign=ace-your-tennis-training-with-acemates-revolutionary-rally-robot #ace #your #tennis #training #with #acemates #revolutionary #rally #robot

We believe that the world is a better place with more creators in it. We make tools and services that help creators succeed, from individuals building their first games to professional studios working on the next great franchise.That’s why we continue to be excited by the promise of AI- and ML-driven techniques to reduce complexity, speed up creation, and, most importantly, unlock new ideas. Simply put, we think that this technology’s accessibility will help more people to become creators.We’ve worked for years, both internally and with partners, to explore how AI can be used in simulation, content creation, and game optimization. We see the present moment’s Cambrian explosion of generative AI as an opportunity to go even further.Unity is uniquely positioned to help you succeed while adopting generative AI because of the Unity Editor, runtime, data, and the Unity Network.More people use the Unity Editor to create games and other real-time 3D (RT3D) experiences than any other workflow in the world. Over the last 18 years, the Unity Editor has helped to democratize game development while contributing to a massive proliferation of new games across countless devices.Today, we strongly believe that the power of generative AI will enable Unity creators to be much more productive while ushering in scores of new creators who will face lower barriers to building RT3D games and experiences. We think that these AI tools will complement rather than replace existing tools and workflows. They offer the promise to help creators do more for and by themselves by filling the gaps in skill sets and resources so they can achieve what scarcely seems possible today.Just as a student might use a generative pre-trained transformer (GPT) tool to jumpstart research or even create a first draft before refining and finalizing a paper in Microsoft Word or Google Docs, Unity creators will be able to use natural-language generative tools together with deterministic, non-AI tools to create code, animations, physical effects, or other real-time content. Creators will move back and forth from rough approximations and text to fine-grained controls and code to iterate and refine the experience they envision.What’s better, we’re building the technology in the Unity Editor to better define what AI draws from. This not only means using appropriate and licensable datasets for generating content but also integrating AI techniques that are customized to their specific content (for example, by using Low-Rank Adaptation, or LoRA, language models during asset builds to deliver new content that’s trained on their existing work).The Unity runtime powers the most real-time applications in the world, with billions of downloads on billions of devices every month, in well over 100 countries. This means that Unity is the predominant way that content created with AI tools will come alive for consumers and users, since the output of any generative AI creation tools made available in the Unity Editor get delivered via the Unity runtime. The Unity runtime makes 3D content interactive and available on almost any device, ensuring that it responds to user input, as well as simulating effects like lighting or physics.But we see an even bigger opportunity. We believe that AI is not just the domain of creation tools, but that it offers the opportunity for new forms of interaction by moving inference – the process of feeding data through a machine learning model – to runtime.We’ve been working on this technology – code-named “Barracuda” – for more than five years. What will it mean when designers can build game loops that rely on inference on devices from mobile to console to web and PC? What happens when that AI capability is fast, efficient, scalable, and does not require expensive cloud compute?We have some ideas – NPCs that come to life, diffusion content as a gameplay mechanism, boundaryless user-generated content – but we know that our creators will do far more with this technology than we could ever even dream.Most of the digital content in the world today is 2D and linear – think sprites, photos, a set of film frames, a rendering of a building floor plan, or source code. AI data models train on this information to learn and, in the case of generative AI, to create content.Unity enables the real-time training of models based on unique datasets produced in the creation and operation of RT3D experiences. Through this training, we can build ever-richer services on top of Unity and provide extraordinary capabilities for our partners to leverage Unity as a data creation, simulation, and training engine for their own needs. Natural-language AI models incorporated into the Unity Editor and runtime train on real code and images. That real-usage training data is abstracted from its initial use (it’s not captured or recorded as-is), however this learning enables Unity’s customers to substantially increase their productivity.The Unity Network, whichconsists of our analytics tools, ad networks, publishing systems, and cloud services, reach a combined total of more than 4B users each month. Each of these service fields yields data that we can use to help our customers massively improve how they attract new users, increase engagement, or drive greater revenue from that base. Unity has been using the power of neural networks to help continuously optimize systems to support user acquisition, engagement and monetization for over three years.Generative AI has been used in some form or another for much of the history of video games, and it has tremendous potential as a tool to help developers achieve more with fewer resources. We’ll be sharing more over the coming months about our vision for AI at Unity, what we’re working on, and how this technology can help you achieve your vision.Stay tuned to the blog for more about Unity and AI, and, if you haven’t already, sign up for the AI Beta Program to be the first to hear about new tools and services. Source: https://unity.com/blog/news/why-we-are-excited-about-ai #why #were #excited #about #unity

President Donald Trump is considering using a Qatari Boeing 747-8 given as a gift as Air Force One while the new presidential jet faces delays.The ruling family of Qatar gifted the US president the $400 million luxury jumbo jet, and Trump said he would "never be one to turn down that kind of offer."The potential plane deal faced pushback from critics and even some Trump allies over security concerns and the legal and ethical issues associated with using a foreign-origin aircraft as Air Force One, the president's airborne command center.Besides Air Force One, the presidential fleet includes other fixed- and rotary-wing aircraft depending on the mission. Presidential aircraft fleet A VC-25A aircraft and a VH-3D Sea King helicopter taxi following former President Joe Biden's sendoff ceremony at Joint Base Andrews. US Air Force photo by Hayden Hallman Air Force One is a call sign that refers to any US Air Force aircraft transporting the president, though it is commonly recognized by its blue-and-white livery.The Air Force has two "specially configured" Boeing 747-200B jets that are primarily used as Air Force One. The VC-25A aircraft is uniquely modified to serve as an airborne command-and-control center for the president, staff, and guests with the same level of safety and security as the White House.Other than the number of passengers it can carry, the main differences between the VC-25 and the standard Boeing 747 include more advanced electronic and communications equipment, a self-contained baggage loader, and the capability for in-flight refueling.The VC-25 also has a rest area and mini-galley for the aircrew, six passenger lavatories, and a compartment with medical supplies and equipment for minor in-flight emergencies. Marine One Nighthawk 46 arrives for the 46th president's send-off ceremony at Joint Base Andrews. US Air Force photo by Hayden Hallman For shorter distance trips, especially to and from the White House, the president flies in Marine One, which includes military helicopters like the VH-3D Sea King and the VH-60N White Hawk.In service for nearly five decades, both military helicopters are set to be phased out and fully replaced with modernized rotary-wing aircraft, the VH-92A.The next-generation Marine One is designed to be a militarized variant of the Sikorsky VH-92 Patriot. Other aircraft An 89th Airlift Wing C-40 and C-37 sit near UH-1N Iroquois helicopters and a C-17 Globemaster III at Joint Base Andrews. US Air Force photo by Senior Master Sgt. Kevin Wallace/RELEASED The presidential fleet also includes other fixed-wing aircraft besides the modified 747. The C-32A, a modified Boeing 757-200, is better suited for smaller airports or low-profile missions.The C-40, based on the Boeing 737, can be used to fly the president but is more often used for Cabinet members or other VIP individuals.Based on General Dynamics' Gulfstream long-range business jets, the C-37 is used to transport high-ranking government and Defense Department officials for worldwide missions. 'Next Air Force One' An artist rendering of the "Next Air Force One," the VC-25B, which will succeed the current Air Force One, VC-25A. Courtesy rendering/US Air Force The two planes currently being used as Air Force One have been in service for nearly four decades. They are set to be replaced by a modernized variant dubbed the "Next Air Force One."Officially designated the VC-25B, the new presidential aircraft is set to feature "electrical power upgrades, a mission communication system, a medical facility, an executive interior, a self-defense system, and autonomous ground operations capabilities," according to an Air Force release.The two future VC-25B jets were initially scheduled to be fielded in 2024, but supply chain issues and shifting requirements could postpone their delivery to 2029.Facing pressure from the White House to have the new aircraft ready before Trump leaves office in January 2029, the Air Force and Boeing are aiming to have the new aircraft delivered by 2027, according to Darlene Costello, the Air Force's principal deputy assistant secretary for acquisition, technology, and logistics. A 'security nightmare' US President Donald Trump's motorcade is parked next to a Qatari Boeing 747 on the tarmac of Palm Beach International Airport. ROBERTO SCHMIDT/AFP via Getty Images An Air Force official told Air and Space Forces Magazine that the service is coordinating with the White House and Boeing "to further define the requirements and acceleration options while ensuring we provide a safe, secure, and reliable aircraft for the president."Trump has previously expressed his frustration with receiving the next-generation Air Force One, suggesting earlier this year that he may seek "alternatives, because it's taking Boeing too long."Despite the backlash, the president doubled down on his proposal to use the Qatari jet as Air Force One, saying he doesn't plan on using it after his term and would donate it to a future presidential library."I could be a stupid person and say, 'No, we don't want a free, very expensive airplane,'" Trump told reporters Monday.Though free in cost, there's still a major cost to overhaul and retrofit the plane with the strict security requirements needed to serve as Air Force One."Along with the obvious ethical and legal issues, a $400M gifted luxury jet is not Air Force One," US Rep. Joe Courtney of Connecticut wrote on X. "Retrofitting a plane from Qatar would create huge costs & a security nightmare that would impede the work underway to deliver the actual AF1 by 2027." Source: https://www.businessinsider.com/air-force-one-aircraft-trump-boeing-747-2025-5 #see #the #us039s #presidential #aircraft #fleet #that #trump #wants #add #with #million #gift