However, in recent years, cracks began to appear in the once formidable facade of the Assad regime. The brutal crackdown on peaceful protests during the Arab Spring in 2011, which spiraled into a full-blown civil war, drew widespread international condemnation and further alienated the Syrian people. The regime's alliance with foreign powers such as Russia and Iran also sowed resentment among the populace, who felt increasingly marginalized and disenfranchised.
Moreover, Ma touched upon the ethical considerations surrounding AI and the importance of responsible AI deployment. He emphasized the need for transparency, fairness, and accountability in AI-driven decision-making processes to ensure that the technology benefits society as a whole. Ma's call for ethical AI reflects a growing awareness of the potential risks and pitfalls associated with unchecked artificial intelligence, urging companies to prioritize ethical standards in their AI initiatives.
In conclusion, Maogeping's remarkable 87% surge on its first trading day is a clear indication of investor confidence in the company's potential and growth prospects. The strong market debut bodes well for Maogeping's future performance and sets the stage for continued success in the Hong Kong stock market. As the company continues to execute on its strategic vision and deliver strong financial results, investors can expect further gains and value creation in the months and years ahead.While the consolidation of banks in Hebei may lead to job redundancies and branch closures in the short term, it is expected to bring long-term benefits to the local economy and financial ecosystem. By creating stronger and more resilient banks, the consolidation process will help improve the stability and efficiency of the financial system, attract more investment, and support the growth of businesses and individuals in Hebei.
In addition to the potential announcement of "Death Stranding 2", foreign media outlets have also been abuzz with rumors of a remake of the iconic "Max Payne" series. Developed by Remedy Entertainment and first released in 2001, "Max Payne" revolutionized the third-person shooter genre with its film noir-inspired story, bullet time mechanics, and gritty atmosphere. The game became a cult classic and a beloved franchise among gamers.
IRVING, Texas , Dec. 9, 2024 /PRNewswire/ -- Commercial Metals Company CMC , in conjunction with its first quarter earnings release for fiscal 2025, invites you to listen to its conference call that will be broadcast live over the Internet on Monday, January 6, 2025 , at 11:00 a.m. Eastern Time ( 10:00 a.m. Central) with Peter Matt , President and Chief Executive Officer, and Paul Lawrence , Senior Vice President and Chief Financial Officer. The teleconference will also be available via webcast. To access the webcast (in listen-only mode), please visit CMC's Web site at www.cmc.com . About CMC CMC is an innovative solutions provider helping build a stronger, safer, and more sustainable world. Through an extensive manufacturing network principally located in the United States and Central Europe , we offer products and technologies to meet the critical reinforcement needs of the global construction sector. CMC's solutions support construction across a wide variety of applications, including infrastructure, non-residential, residential, industrial, and energy generation and transmission. View original content: https://www.prnewswire.com/news-releases/cmc-announces-first-quarter-fiscal-2025-conference-call-webcast-details-302326343.html SOURCE Commercial Metals Company © 2024 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.Games on a college basketball schedule don't contrast much more than the two NC State has this week. The Wolfpack (6-3) host Coppin State (0-10) on Tuesday in Raleigh, N.C., then hit the road to challenge No. 10 Kansas on Saturday. NC State enters its unusual week after snapping a three-game skid with an 84-74 overtime win at home Saturday against Florida State in its Atlantic Coast Conference opener. Transfers Marcus Hill and Dontrez Styles each had their season high, scoring 23 and 21 points, respectively. They scored 13 of NC State's 14 points in overtime. "Dontrez Styles was tremendous," Wolfpack coach Kevin Keatts said. "In the second half, he made play after play." Hill, who was the top scorer last year at Bowling Green (20.5 points per game), and Styles, who was the second-leading scorer last year at Georgetown (12.8 ppg), combined to hit 14 of 25 shots and pull down 11 rebounds. The win followed defeats to then-No. 13 Purdue and BYU, both by double-digit margins, in the Rady Children's Invitational and a 63-59 loss to Texas in the SEC/ACC Challenge. "The little things that impact the game are defending, making free throws and blocking out," Keatts said. "We handled that much better than we did against Texas." Coppin State arrives in Raleigh on a 23-game losing streak dating to January -- the longest current run of futility in Division I. Each of the Eagles' losses this season have come by double-digit margins, though they have been more competitive lately, falling to Baltimore rival Loyola (Md.) 68-57 and at Wagner 65-52 last week. Julius Ellerbe III has been one of Coppin's most reliable players lately, scoring a combined 20 points in the last two games. He had 16 points and 12 rebounds in a loss to George Mason last month. Teammate Peter Oduro recorded a double-double, with 16 points and 10 rebounds, in last month's loss at Saint Joseph's. "These things take time," Coppin State second-year coach Larry Stewart said. "It takes time to establish your culture. It takes time to get the right players in your system." --Field Level Media
Trump has promised again to release the last JFK files, but experts say don’t expect big revelationsAmazon CTO Werner Vogels on fighting misinformation, tech addiction, and small nuclear reactors
Every core element in entrepreneurship is about making the best use of all factors available. In a fast-paced world populated with technology, that is the reason why companies strive to be effective. Today, for a company like Meta the challenge is to utilize infrastructure properly while avoiding exceeding capacity limits. Entering this challenge was Siddhant Benadikar, who worked in distributed systems with Meta during a time when the company was acquiring new capacity and traffic demands were mounting but no new capacity was allocated for the year. It was in such an environment where transformation of the existing strategies became a necessity owing to Siddhant’s concern for the operational targets of the Meta Company. Transforming Platform Productivity: Optimisation Dynamics Siddhant impressively showcased his leadership when he took the lead in a very strategic project intended to re-engineer the performance of Meta’s platforms and at the same time reduce utilization. The problem solution was that Meta had to cope with the same performance of workloads under similar conditions of infrastructure availability, which allowed for the growing trends of system usage, efficiently serving its purpose. This was not an easy task when considering the size of Meta and the overwhelming amount of traffic that its infrastructure supports every day. One of the most impactful aspects in this case was the improvement of the K-nearest neighbor (KNN) search algorithm and its application to Meta’s FAISS library. This algorithm is part of several systems for data retrieval and recommendation employed within the wide ecosystem of Meta. The team of Siddhant made substantial upgrades in memory optimizing techniques and FASS integration and as a result, they managed to increase the KNN searches runtime efficiency by 15 times over its previous performance. This waste amount was not only a fast and efficient way of accessing data but also cut resource use by 40%. Such an accomplishment however meant that the same amount of data processing by meta’s platforms took place with over 60% less computational resources, which meant more capacity available to repurpose for other important system-enhancing programs. Beyond the optimization activities of KNN and FAISS, Siddhant also took active responsibility for the political aspect and integrated the platform into Meta’s quota management system. Such integration was necessary for curtailing resource allocation abuse, ensuring that every user of the system got their due portion of it according to the quota they had purchased. Focusing on efficiency and rational distribution of resources turned out relevant also for the optimization of particular user pipelines, in the processes of which Siddhant was able to implement some changes that made the data processing cycles more effective by eliminating unnecessary steps. The $20 Million Impact: Efficiency and Cost Savings All these development efforts had a compounding effect. In these facts, under Siddhant, the Meta company had approximately $20 million in savings added to the capital expenditure (CapEx). Reducing the required resource footprint to accommodate increasing traffic demands is where Siddhant’s project empowered Meta to stay within its capacity limits, even where the user traffic continued to increase. This project didn’t just solve immediate capacity issues – it laid the foundation for future improvements in efficiency as well as controllable growth in capacity. However, the full integration with the quota management system, specifically, was important in making sure that the system does not cause an overload and that Meta is always able to honor the service level agreements (SLA) with its internal business units. Thanks to introducing such capabilities as automated supervision and rational resource allocation within a specified time, the team led by Siddhant managed to avoid congestion and guaranteed that critical applications were always provided with sufficient computing resources. This project, probably, highlights strong technical knowledge and the out-of-the-box thinking from Siddhant. His capacity to spearhead efficiency strategies in a high-performance distributed system was not only a quick fix to the pressing issues that had been experienced at Meta but was also a step toward the enhancement of resource management concepts at Meta. Siddhant showed that optimization in terms of meeting commercial objectives is possible without delay in performance through the use of a blend of algorithms, memory management skills, and integration styles. Beyond Optimization: Establishing the Cornerstones for Future Runway Expansion As successful as the resource optimization project turned out to be, its effects were not only limited to the quick wins in terms of efficiency and cost reduction. Siddhant’s efforts succeeded in raising the bar of how such projects were undertaken at Meta within resource constraints. By decreasing reliance on additional infrastructure, the project also allowed Meta to reallocate resources towards other most critical projects within the company and hence advance its overall strategic goals. Enhancing the Technology Results: Scalable Integration of a Compute TPL with Heterogeneous Accelerator Clients. Lending entity computing industries recently supported this initiative granting the company’s growth inconsistency within a critical market image. Certainly, incarceration or In such prospect, we prognosticate augmentations of scale currently delineated in the data and to similar bifurcated systems. The optimizations that Sith carried out have been adopted in the other architectures of META enabling different teams to achieve the KNN and FAISS progress in other data-heavy devices at the same time. This interchange of ideas between different units and the application of the best concepts regarding the technology layers has enhanced the connectivity and the effectiveness of the technology stack allowing META to grow in the future. From Aspirations to Achievements: siddhant's Journey in Distributed Systems Siddhant’s rise to assuming the position of a resource optimization expert at Meta shows his furrow of innovation and problem-solving capability. At first, he wanted to join a medical course, but since he loved how technology works and how complex problems are solved, he decided to change to computer science. He obtained several degrees in computer science, emphasizing the areas of distributed systems, machine learning, and large data architecture. His combination of machine learning, graph algorithms, and system optimization gave him an upper hand in solving some of the toughest challenges at Meta. Siddhant has recruited and retained talent while executing complex, high-impact projects perfectly blending deep technical skills alongside high-level strategic thinking. The resource optimization work was not relayed to merely addressing current issues but rather transformed the norm in which Meta views a potentiality in greater efficiency and scalability. The Human Side of Technology: Leadership and Mentorship In addition to contributing research ideas, Siddhant has always spearheaded mentoring and team-building activities. The management of such an intricate project takes more than technical expertise; it consists of motivating and leading a group through complicated and frequently unclear situations. Leading him, as a leader towards a target is collaborative, explicit, and through unceasing advancement. Siddhant created a culture of innovation and resilience by nurturing an atmosphere where all the team members are encouraged to submit their ideas and knowledge. He has been a mentor to junior engineers in this area, helping them grow and become proactive so that they may take on greater challenges and responsibilities and add value to Meta. Looking Forward: The Future of Resource Optimization Siddhant has thoughts beyond the immediate present and believes there is still scope for improvement in resource optimization as well as distributed systems. Data-intensive applications; large-scale infrastructure; and economies of scale have always required efficiency in resource allocation and optimization more than any other. He foresees this phase as the afternoon of day_two where optimization will be an inbuilt design philosophy rather than a reactive strategy. He has expressed a great inclination towards the combination of resource optimization and new persuasive technologies such as artificial intelligence (AI) and machine learning (ML). Elaborating on this point, Siddhant considers it feasible to design systems of resource management that incorporate the use of AI and ML, making them more efficient yet inherently more flexible and smarter. These subsystems would forecast capacity requirements, reconfigure existing resources on demand and in real-time, and refine operation strategies and policies considering the actual level of workloads and changing business objectives. About Siddhant Benadikar An experienced professional with a particular focus on distributed systems, resource management, and large data architecture design is Siddhant Benadikar. His contributions while working for Meta helped in implementing various efficiency measures that resulted in substantial reductions in capital expenditures for the corporation while improving the performance and scalability of the platform. Over the past few years, there have been numerous achievements and progress in the work coupled with the thirst for tackling new high-level problems, which has propelled Siddhant to explore many new heights in large-scale distributed computing. There are new standards that have been set by his leadership and vision about how resources can be optimized making him a central figure in the tech world that continually yearns for efficiency and optimization.Nani's decision to prioritize loyalty and emotional connection over financial gain and sporting ambitions is a rarity in modern football, where players often chase bigger contracts and titles at the expense of their club allegiances. His commitment to Sporting CP has endeared him even more to the club's fans, who see him as a symbol of loyalty and dedication.
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