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NEW YORK, Nov. 22, 2024 (GLOBE NEWSWIRE) -- WHY: Rosen Law Firm, a global investor rights law firm, reminds purchasers of securities of AMMO, Inc. POWW between August 19, 2020 and September 24, 2024, both dates inclusive (the "Class Period"), of the important November 29, 2024 lead plaintiff deadline. SO WHAT: If you purchased AMMO securities during the Class Period you may be entitled to compensation without payment of any out of pocket fees or costs through a contingency fee arrangement. WHAT TO DO NEXT: To join the AMMO class action, go to https://rosenlegal.com/submit-form/?case_id=29426 or call Phillip Kim, Esq. toll-free at 866-767-3653 or email case@rosenlegal.com for information on the class action. A class action lawsuit has already been filed. If you wish to serve as lead plaintiff, you must move the Court no later than November 29, 2024 . A lead plaintiff is a representative party acting on behalf of other class members in directing the litigation. WHY ROSEN LAW: We encourage investors to select qualified counsel with a track record of success in leadership roles. Often, firms issuing notices do not have comparable experience, resources or any meaningful peer recognition. Many of these firms do not actually litigate securities class actions, but are merely middlemen that refer clients or partner with law firms that actually litigate the cases. Be wise in selecting counsel. The Rosen Law Firm represents investors throughout the globe, concentrating its practice in securities class actions and shareholder derivative litigation. Rosen Law Firm achieved the largest ever securities class action settlement against a Chinese Company at the time. Rosen Law Firm was Ranked No. 1 by ISS Securities Class Action Services for number of securities class action settlements in 2017. The firm has been ranked in the top 4 each year since 2013 and has recovered hundreds of millions of dollars for investors. In 2019 alone the firm secured over $438 million for investors. In 2020, founding partner Laurence Rosen was named by law360 as a Titan of Plaintiffs' Bar. Many of the firm's attorneys have been recognized by Lawdragon and Super Lawyers. DETAILS OF THE CASE: According to the lawsuit, throughout the Class Period, defendants made false and/or misleading statements and/or failed to disclose that: (1) AMMO lacked adequate internal controls over financial reporting; (2) there was a substantial likelihood AMMO failed to accurately disclose all executive officers, members of management, and potential related party transactions in fiscal years 2020 through 2023; (3) there was a substantial likelihood AMMO failed to properly characterize certain fees paid for investor relations and legal services as reductions of proceeds from capital raises rather than period expenses in fiscal years 2021 and 2022; (4) there was a substantial likelihood AMMO failed to appropriately value unrestricted stock awards to officers, directors, employees and others in fiscal years 2020 through 2022; and (5) as a result of the foregoing, defendants' positive statements about AMMO's business, operations, and prospects were materially misleading and/or lacked a reasonable basis. When the true details entered the market, the lawsuit claims that investors suffered damages. To join the AMMO class action, go to https://rosenlegal.com/submit-form/?case_id=29426 or call Phillip Kim, Esq. toll-free at 866-767-3653 or email case@rosenlegal.com for information on the class action. No Class Has Been Certified. Until a class is certified, you are not represented by counsel unless you retain one. You may select counsel of your choice. You may also remain an absent class member and do nothing at this point. An investor's ability to share in any potential future recovery is not dependent upon serving as lead plaintiff. Follow us for updates on LinkedIn: https://www.linkedin.com/company/the-rosen-law-firm , on Twitter: https://twitter.com/rosen_firm or on Facebook: https://www.facebook.com/rosenlawfirm/ . Attorney Advertising. Prior results do not guarantee a similar outcome. Contact Information: Laurence Rosen, Esq. Phillip Kim, Esq. The Rosen Law Firm, P.A. 275 Madison Avenue, 40th Floor New York, NY 10016 Tel: (212) 686-1060 Toll Free: (866) 767-3653 Fax: (212) 202-3827 case@rosenlegal.com www.rosenlegal.com © 2024 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

Homeowner rights, what to know when it comes to solar powerMiddle East latest: Israel bombs hundreds of sites across Syria as army pushes into border zoneBMW praises Tesla's Full Self-Driving technology on social media

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2024 in pop culture: In a bruising year, we sought out fantasy, escapism — and cute little animals

The Government has announced it is doubling funds to support workers and businesses affected by job losses at a giant Tata steel plant. Ministers said an extra £15 million will be made available for supply chain businesses and workers affected by changes at Tata’s Port Talbot site in south Wales. Welsh Secretary Jo Stevens said the move means a fund to support businesses across Wales heavily reliant on Tata steel will be increased to £30 million. She also announced that more businesses will be able to apply for the funds, and the value of individual grants is increasing to up to £250,000 for businesses to invest in equipment, property, technology. The Government said there has been “significant demand” on the existing funding, with almost 40 businesses employing 2,000 people having begun the application process. Grants worth millions of pounds are expected to be released in the new year. The increase in funding is in anticipation of more people leaving Tata in early 2025 through the company’s voluntary redundancy scheme. Ms Stevens said: “This Government is acting decisively to support workers and businesses in Port Talbot. “We are doubling the funding available to businesses and workers and widening access to grants to ensure we support as many people as possible. “In just four months we have announced more than £40 million in investment. We said we would back workers and businesses affected by the transition at Port Talbot and we are doing exactly that. “While this remains a very difficult time for Tata workers, their families and the community, we are determined to support workers and businesses in our Welsh steel industry, whatever happens.”Elon Musk’s preschool is the next step in his anti-woke education dreams

Pets across the Roblox Adopt Me collection come in many shapes and sizes. They are categorized into distinct rarity types, which significantly influence their value. These rarity types range from Common to Legendary, with the latter being the most sought-after. We’re here to show you the rarest pets in Adopt Me by ranking the top 10 most hard-to-find animals. 10. Blue Dog Once a common sight during Adopt Me’s early launch in Roblox , the Blue Dog has now ascended to the ranks of the rarest pets in the game. Its exclusivity was once tied to the Easter Event (2019), where it could be unlocked by hatching Blue Eggs. Since the celebration has passed, the only way to get the Blue Dog is by initiating a trade with a player. 9. Puffin Given that the Puffin is in the Ultra-Rare class, it may not be too surprising to see a Puffin make it to our rarest ranking. When the animal was released during the Winter Holiday (2021), it was pretty challenging to acquire due to its massive requirement of 120,000 Gingerbread. Because of this, only a select few players could afford such an amount, making the Puffin harder to obtain. 8. Ghost Bunny The Ultra-Rare Ghost Bunny debuted in the Halloween Event (2020). This version offers a unique spin on the traditional Bunny, turning it into a ghoul-like type. Like most on this list, the Ghost Bunny is only accessible through trading, specifically with those who participated in the Halloween event. 7. Platypus One of the only ways to get a Platypus is through a Jungle Egg, a rare item that launched back in 2019. While Ultra-Rare types have a 15 percent chance of dropping from this egg, the Platypus features a lower percentage of 7.5. The odds are definitely not in your favor with this one, with the decreased chances from the Jungle Egg and the animal itself. 6. Monkey King The Legendary Monkey King was not an easy prize to claim. It required a unique blend of Staff Ingredients and the standard Monkey. These Staff Ingredients could only be found in the elusive Premium Monkey Boxes, which demanded Robux currency. Since it involved random drops from premium purchases, it made the Monkey King all the more difficult to uncover. 5. Giant Gold Scarab Mud Balls were the key to unlocking the exclusive Legendary Giant Gold Scarab. This rare find, with its shimmering gold hue, was not easily obtained. Players had to part with their Robux to even have a chance at it, further enhancing its value. The Giant Gold version also boasted the lowest drop rates, a mere 2.5 percent. In comparison, the Giant Black had a 60 percent chance, and the Giant Blue had a 37.5 percent. 4. Diamond Albatross The Albatross collection features some of the rarest pets in Adopt Me , from the Ultra-Rare regular type to the Legendary Golden. However, the one that stands out for its exclusivity is the Diamond Albatross. This pet is a rare drop from the premium Golden Clam, with a mere 2.5 percent chance of appearing. Considering its low chances, you may need to test your luck with a considerable amount of Robux just to unlock this creature. 3. Frost Dragon Adopt Me’s 2019 collection presents the most in-demand animals, encompassing the game’s first-ever pet appearances. Before the year ended, the Frost Dragon came out, costing 1,000 Robux in the event shop. Premium purchases always tend to make animals rare, hence why the Frost Dragon made it onto this list. 2. Giraffe As a Legendary pet, the Giraffe hatches from the now-discontinued Safari Eggs. Few people acquired these specific eggs in light of their eventual replacement with the Jungle type. Practically anything from the Safari Egg is highly valuable, but the Giraffe is probably at the top of the rare list with its three percent drop rate. 1. Shadow Dragon The Shadow Dragon is hands down one of the rarest and most valuable pets in Adopt Me . This Legendary pet debuted in the Halloween Event (2019), costing 1,000 Robux in the Candy Trading Shop. Now, trading is the only way to get your hands on this dragon, and your chances of acquiring it are pretty slim with its low inventory. Of course, many other rare pets, like Neon or Mega Neon, are out there due to Adopt Me’s numerous limited events. So, make sure to obtain any pets while these celebrations are active, or else you may have difficulty finding them again.None

SANTA CLARA, Calif. , Dec. 19, 2024 /PRNewswire/ -- FuriosaAI , an emerging leader in AI semiconductor solutions, is closing out the year with rapid technical and customer progress with its second-generation chip, RNGD (pronounced 'Renegade'). The recently announced AI solution has achieved compelling performance metrics in real-world enterprise deployments meeting the demand for inference with advanced large language and multimodal models. The new performance benchmarks showcase RNGD's ability to meet industry-leading throughput demands for Llama 3.1 models, including the 8B and 70B variants, with additional optimizations already in progress. The company also announced key software features that bring advanced optimization for customers currently sampling RNGD hardware in their production environments. These achievements represent the first phase of Furiosa's vision for AI infrastructure that overcomes the inherent limitations of GPUs. RNGD delivers winning throughput metrics with Llama 3.1 8B and 70B : Building on the AI-native Tensor Contraction Processor (TCP) architecture of RNGD , Furiosa is redefining real-world AI deployments, delivering unmatched performance, programmability, and power efficiency. Furiosa's RNGD recently achieved a throughput of 3,200–3,300 Tokens per Second (TPS) when running the LLaMA 3.1- 8B model. In single-user scenarios, RNGD consistently delivers 40–60 TPS performance. Additionally, RNGD demonstrates exceptional power efficiency, consuming 181W per card, with further optimization efforts underway. Rather than excessively boosting per-user performance, the company aims to maintain performance levels exceeding typical text-reading speeds (10–20 TPS or higher) while optimizing for multi-user environments and achieving a balanced performance approach. Furiosa is advancing the performance and efficiency of the LLaMA 3.1- 70B model. With just two RNGD cards, LLaMA 3.1- 70B can be executed effectively. Currently, a single server supports up to 100 concurrent user queries, with ongoing optimizations aiming to achieve 8,000 TPS per server when equipped with 8 RNGD cards. With the release of SDK v2024.3.0, Furiosa will expand the range of preloaded models. The SDK will also include support for tensor parallelism, enabling seamless processing across multiple elements without requiring model modifications, and a torch.compile, providing the foundation for executing customized models. Integration with HuggingFace Optimum will further empower customers to leverage a broader variety of models. Advanced optimization tools delivered to early RNGD customers: Building on these milestones, domestic and global enterprise customers are conducting tests with Furiosa to find a more efficient solution for scaling the inference of their self-developed models, compared to their existing setup. Their objective is to manage TCO effectively as they prepare for large-scale AI adoption. Furiosa plans to provide a high-quality AI development environment through a powerful and user-friendly SDK optimized for RNGD. The SDK v2024.1.0, currently available through the Early Access Program (EAP), is designed to handle high-performance processing of multiple LLM serving requests. It incorporates optimization techniques such as PagedAttention, Block KV Cache, and Continuous Batching, while also supporting various token sampling methods, including Greedy, Beam Search, and Top-k/p. These features allow developers to seamlessly create AI services customized to meet a wide range of requirements. The SDK and online sample will be available after the release of v2024.3.0. Furiosa remains committed to delivering the most sustainable AI deployment solutions through rigorous optimization at an unprecedented pace. "With RNGD now in customers' hands, we are accelerating the next generation of frontier LLMs to unlock emerging Agentic AI applications—bringing advanced reasoning capabilities to enterprise verticals, all at dramatically lower costs," said June Paik , Co-Founder and CEO of FuriosaAI. Furiosa Expands Global Footprint with Strategic Leadership Appointment Furiosa is scaling production and expanding its leadership team with the appointment of Alex Liu as Senior Vice President of Product and Business. A Technology Emmy Award winner and co-founder of NETINT Technologies, Alex brings over 20 years of expertise in startup management, technology innovation, and strategic leadership. At NETINT, he spearheaded groundbreaking achievements, including the development of the world's first VPU SoC, setting new industry benchmarks and securing the prestigious 2024 Technology Emmy Award. At Furiosa, Alex will lead global product management, go-to-market strategies, and partnerships to drive innovation and align the company's AI-native technologies with a vision to empower the development of planet-scale AI infrastructure. RNGD is currently sampling with customers, and mass production will ramp up in partnership with TSMC for 2025 availability. To learn more about Furiosa, please visit https://furiosa.ai/ . About FuriosaAI FuriosaAI is a semiconductor company dedicated to creating sustainable AI computing solutions that make powerful AI accessible to all. With its innovative Tensor Contraction Processor architecture, FuriosaAI is revolutionizing the AI hardware landscape, offering unparalleled efficiency and programmability for the most demanding AI workloads. For more information, please visit https://furiosa.ai/ . View original content to download multimedia: https://www.prnewswire.com/news-releases/furiosaai-ends-2024-on-a-high-note-llama-3-1-performance-sdk-release-leadership-expansion-302336756.html SOURCE FuriosaAIAndrew Morgan scored 12 points and grabbed 12 rebounds Sunday as Nebraska established a 20-point halftime lead and cruised to a 66-49 win over Murray State in the quarterfinals of the Diamond Head Classic in Honolulu. The Cornhuskers (8-2) also got 15 points from Connor Essegian as they advanced to Monday night's semifinals. They'll meet Hawaii, which beat Charlotte in Sunday night's last quarterfinal. Kylen Milton scored a game-high 19 points for the Racers (6-5), who dropped their third straight game. Milton was 7 of 15 from the field but his teammates made only 10 of 40, with Murray State finishing the game at 30.9 percent. Nebraska never trailed and led for all but the game's first 1:16, thanks to equal parts good defense and horrific Murray State shooting. The Racers started the contest at 1 of 13 from the field and didn't get much better in the first half. Entering the game averaging 78.8 points per game and shooting a respectable 47.7 percent from the field -- and 38.6 percent from the 3-point line -- Murray State finished the first half at 4 of 28 overall and 3 of 15 on 3-pointers. Even with the Cornhuskers chipping in 10 turnovers, the Racers managed just one point off all those miscues. When Nebraska wasn't coughing the ball up, it scored enough to build a cushion that the Racers couldn't erase. It converted 50 percent of its shots in the half, getting nine points from Essegian, all on 3-pointers. Morgan's short jumper at the 10:48 mark made it 15-4 and the margin kept growing. It got to 34-14 at the break after Morgan converted a layup with 1:15 remaining. Rollie Worster rebounded a missed 3-pointer by the Racers' Terence Harcum and drove for a layup to boost the margin to 41-18 with 17:36 left in the game. Worster finished with 11 points. Even though the Cornhuskers sputtered at times offensively with the big lead, they never led by fewer than 12 for the game's remainder. --Field Level Media

Detroit (AP) — China will soon see a massive expansion of electric vehicle battery swapping, as global battery maker CATL said Wednesday it is investing heavily in stations there next year. Battery swapping is not new — but it's had a challenging journey. Adoption of electric vehicles has varied in regions across the globe over the past several years, and that doesn't always bode well for building new infrastructure. While the technology could do well in China, it's uncertain whether it could work in other countries. Battery swapping allows EV drivers to pull into a station on a low battery and receive a swapped, fully-charged battery within minutes. An EV has to be equipped with the right technology to receive a swap — and not many models around the world currently have it. Automakers have to buy into the idea, and EV adoption among consumers also has to grow, so that investing in new infrastructure seems worthwhile. Consumers also have to be comfortable not owning their battery. China is much further along in adopting EVs than other countries. Not only is it the world's largest auto market, but in July, the country hit a milestone with 50% of new sales electric — and it accounts for most of this year's global EV sales. China supports EV growth through government subsidies and mandates. So it makes more sense for companies to invest in unique EV infrastructure there because that's more likely to be needed. The most notable example might be Israeli startup Better Place, which tried its hand at swapping in 2007. But the company shut down a few years later after investing a lot of money and coming up against roadblocks with logistics. EV adoption was especially low at the time. Startup Ample, for example, has a modular battery swapping station that it says can complete a swap in 5 minutes. That’s important as charging time remains a point of concern for prospective EV buyers. Even the fastest fast chargers could take at least 15 minutes for a decent charge. But in the U.S., pure EVs only accounted for 8% of new vehicle sales as of November. Meanwhile Nio, a rival Chinese EV brand, has about 60 swap stations in northern Europe, and the EV adoption is higher there than the U.S., but the same challenges remain. Different automakers put different batteries in their various EV models, so a station would need all of those available if the industry didn't agree to a standardized battery, and not all of those models are out yet in volume. This is something that really needs scale. Swapping could help with EV cost — currently a barrier to adoption for many — because a driver wouldn’t necessarily own the most expensive part of an EV: the battery. Greg Less, director of the University of Michigan Battery Lab, said with proper framing and education, people might like the idea of battery swapping. To him, it's not unlike buying a propane-fueled grill and purchasing a refilled tank every so often. But it would require a rethinking of car ownership. "Where I could see it working is if we went entirely away from vehicle ownership and we went to a use-on-demand model," Less added. “I don’t think we’re there yet.” Battery swapping might make most sense for ride-sharing or other fleet vehicles. Drivers of buses, taxis, Uber or Lyft vehicles want to spend as much time on the road as possible, transporting customers and making money. If battery swapping can shorten the time needed to charge EVs, that makes driving one less disruptive to their business. Alexa St. John is an Associated Press climate solutions reporter. Follow her on X: @alexa_stjohn . Reach her at ast.john@ap.org . Read more of AP’s climate coverage at http://www.apnews.com/climate-and-environment The Associated Press’ climate and environmental coverage receives financial support from multiple private foundations. AP is solely responsible for all content. Find AP’s standards for working with philanthropies, a list of supporters and funded coverage areas at AP.org .Elon Musk’s preschool is the next step in his anti-woke education dreamsUSC dominates Southern to extend winning streak

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