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golden empire jili slot game Lighting the Way: Transformative Trends in Backlight LED TechnologyTT Electronics plc ( LON:TTG – Get Free Report )’s stock price passed below its 200-day moving average during trading on Friday . The stock has a 200-day moving average of GBX 123.43 ($1.55) and traded as low as GBX 103 ($1.30). TT Electronics shares last traded at GBX 105.50 ($1.33), with a volume of 113,068 shares. Analysts Set New Price Targets Separately, Berenberg Bank cut TT Electronics to a “hold” rating and reduced their price objective for the company from GBX 260 ($3.27) to GBX 100 ($1.26) in a research note on Tuesday, September 17th. View Our Latest Research Report on TTG TT Electronics Trading Down 1.4 % About TT Electronics ( Get Free Report ) TT Electronics plc provides design-led advanced electronics technologies for performance critical applications in the healthcare, aerospace and defense, and automation and electrification markets in the United Kingdom, Rest of Europe, North America, Asia, and internationally. The company operates through three segments: Power and Connectivity, Global Manufacturing Solutions, and Sensors and Specialist Components. See Also Receive News & Ratings for TT Electronics Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for TT Electronics and related companies with MarketBeat.com's FREE daily email newsletter .

In a major breakthrough, Punjab Police’s State Special Operation Cell (SSOC) Amritsar, has busted a narco-terror module being operated by foreign-based handlers with the arrest of its two members, who also confessed to have lobbed a hand-grenade at Islamabad Police Station in Amritsar, said Director General of Police (DGP) Punjab Gaurav Yadav here on Saturday. Those arrested have been identified as Gurjeet Singh, a resident of Dande in Gharinda, Amritsar and Baljit Singh, a resident of Chhapa in Tarn Taran. Police teams have also recovered 1.4 kg heroin, one hand grenade and two sophisticated pistols— one 9MM Zigana and one 9MM Glock— along with ammunition from their possession. Advertisement The development came in little more than 10 days after the incident reported at Islamabad Police Station at around 3 am on December 17, 2024. Few hours after the incident, Foreign-based Jeevan Fauji, who is associated with the Babbar Khalsa International (BKI), had used social media platform to claim the responsibility for this act of terror. Advertisement DGP Gaurav Yadav said that SSOC Amritsar had received a secret information that a USA-based hardcore drug smuggler Sandeep Singh alias Seepu is running a smuggling network and getting consignments of drugs and weapons from Pakistan to supply them in India through his associates. Acting swiftly on inputs, the teams of SSOC Amritsar arrested one associate identified as Gurjeet Singh and recovered 1.4 kg heroin from his possession, he said. The DGP said that the meticulous investigations and sustained follow-up of backward and forward linkages in the arrest of Gurjeet Singh revealed that the latter along with his accomplice Baljit Singh has also carried out grenade attack at Police Station Islamabad on the instructions of a foreign-based person, introduced to him by Sandeep Seepu. He said that further investigations are ongoing to ascertain the terrorist organisation behind the attack at Police Station and identify the foreign based person introduced by Seepu. Sharing more details, AIG SSOC Amritsar Sukhminder Singh Mann said that the police teams have also arrested Baljit Singh and during further investigations one hand grenade and two pistols along with ammunition were recovered from duo. He said that further investigations are being conducted to unearth this entire network and efforts are being made to track the previous consignments transported by the accused. In this regard, a fresh case FIR No. 74 dated 26.12.2024 has been registered under sections 21, 23-c and 29 of the NDPS Act, section 25 of the Arms Act and sections 3, 4 and 5 of the Explosive Act at Police Station SSOC Amritsar. AdvertisementStock market today: Wall Street rises with Nvidia as bitcoin bursts above $99,000The Last-Minute New Year Gift Guide For EveryoneThis Jersey Shore polar bear plunge draws thousands. It all started as a dare.

Experts are warning of the ‘imminent danger’ posed by the Kessler Syndrome, a chain reaction of space collisions that could overcrowd Earth's orbit with dangerous debris. This warning follows an incident last month when the International Space Station (ISS) had to manoeuvre itself out of harm's way to avoid an incoming piece of space junk. Kessler Syndrome, first theorised by NASA scientist Donald J. Kessler in 1978, describes a catastrophic scenario where space debris collides with satellites or other objects in orbit, creating runaway destruction. Such a chain reaction could knock out vital satellites, leading to widespread disruptions in communication networks, including Wi-Fi and cell phone services. Dan Baker, the director of the University of Colorado 's Atmospheric and Space Physics lab, warned during a conference this December that "unless we do something, we are in imminent danger of making a whole part of our Earth environment unusable". It is estimated that there are over 130 million pieces of ‘space junk’ currently orbiting Earth. These include bits of broken satellites, the remains of booster rockets and wreckage from weapons tests. NASA reports that most of this 'space junk' is moving very fast and travels at speeds of up to 18,000 mph, nearly seven times faster than a speeding bullet. Even small objects, like a fleck of paint , can smash through metal and can pose serious threats. In November, NASA reported that a Russian spacecraft attached to the space station fired its engines for more than five minutes to create a safer margin of distance from a passing hunk of debris. While NASA said it was unlikely that the debris would have collided with the space station, the debris could have passed within 2 1⁄2 miles (4 kilometers) of its orbital path. A direct impact might have depressurised parts of the station and left the astronauts struggling to return home. However, this is not the first time the space traffic experts have raised alarm bells about the increasing congestion. The ISS has had to make similar manoeuvers since it was first occupied in November 2000. Collision risks are growing every year as the number of objects in orbit around Earth multiplies. Dr. Vishnu Reddy, a professor of planetary sciences at the University of Arizona in Tucson observed that "the number of objects in space that we have launched in the last four years has increased exponentially". He added: "We are heading towards the situation that we are always dreading." The rapid increase in satellite launches by companies like SpaceX, which has deployed over 7,000 Starlink satellites into low Earth orbit, has exacerbated the problem. Holger Krag, head of the European Space Agency’s Space Safety Office, stated last year, “We are seeing a dramatically increased use of space, but still insufficient technology to prevent the risks that follow.” Dr. Reddy echoed the concerns, pointing to the lack of regulation as a critical issue. “I think the biggest concern is the lack of regulation,” he said. “I think having some norms and guidelines that [are] put forward by the industry will help a lot.”

Prime Minister Narendra Modi today congratulated the Mahayuti alliance for the historic sweep of Maharashtra, and warned those who in the pursuit of "opportunistic politics" lose sight of their core values. At the BJP headquarters in Delhi where hundreds of supporters had arrived to celebrate the Maharashtra win, PM Modi referred to the Maha Vikas Aghadi (MVA) alliance as something that was stitched at the last minute for selfish reasons. "The people of Maharashtra have stopped the conspiracy hatched by the Congress and their friends. Maharashtra has given a verdict - ek hai toh safe hai is India's mantra," PM Modi said, alluding to the need for a stable and safe government with no vested interests pulling it in all directions. PM Modi said the Congress can no longer win elections on its own, and whenever it loses, the party drags others down as it sinks, referring to the numbers in Maharashtra. "The Congress is all about the family. No matter how much hard work a party worker puts in, the family will take all credit. There are many senior citizens who have seen the old Congress. They are searching for it today," PM Modi said. The Mahayuti or the National Democratic Alliance (NDA) won 236 of the 288 assembly seats, while the MVA comprising the Congress, Uddhav Thackeray's Shiv Sena and Sharad Pawar's Nationalist Congress Party managed to get only 48 seats. In Jharkhand, however, the NDA could not breach the INDIA fortress held by Chief Minister Hemant Soren's Jharkhand Mukti Morcha (JMM), the Congress, and the Rashtriya Janata Dal (RJD).Olympic gold medalist Lindsey Vonn returned to competition for the first time in almost six years on Saturday, as the 40-year-old American finished in the middle of the pack in her opening run in Copper Mountain, Colorado. The four-time overall World Cup champion retired in 2019 and underwent partial knee replacement surgery in April, returning to training in recent months and announcing her comeback in November. Vonn finished 24th out of 45 skiers in her first of two downhill runs in 1:07.23, 1.44 seconds slower than winner Mirjam Puchner of Austria at the lower-level FIS Fall Festival. "Today was a solid start and I had a blast being in start with my teammates again," Vonn wrote on social media . "While I'm sure people will speculate and say I'm not in top form because of the results, I disagree. This was training for me. "I'm still testing equipment and getting back in the groove. This is only the beginning and the way I'm skiing is more important than the times at this point." Vonn had retired as the most decorated woman in alpine skiing with 82 World Cup wins, a record that was overtaken as her compatriot Mikaela Shiffrin amassed 99 wins and counting. (Reporting by Amy Tennery in New YorkEditing by Christian Radnedge)

Understand the questionsApple reportedly is working to make its Siri voice assistant more conversational with the addition of more advanced large language models (LLMs). The company plans to enable a new version of Siri to carry on back-and-forth conversations, handle more complex tasks and do so more quickly, Bloomberg reported Friday (Nov. 22), citing unnamed sources. Working with Apple Intelligence, the updated voice assistant will also be able to write and summarize text, according to the report. Apple aims to unveil the new Siri in 2025 and roll it out as early as spring 2026, per the report. Apple did not immediately reply to PYMNTS’ request for comment. The company launched its artificial intelligence (AI) features dubbed Apple Intelligence on Oct. 28 through a software update that works on recent iPhones, iPads and Macs. The new system can summarize long email threads, prioritize urgent messages like same-day invitations and boarding passes, transcribe and summarize phone calls and voice recordings, and perform natural language searches of photos and videos to find specific moments or objects. “Apple isn’t just upgrading Siri — it’s redefining the retail experience,” Kaveh Vahdat , founder of AI marketing firm RiseOpp , told PYMNTS at the time. “Imagine AI-powered shopping where Siri becomes a real-time stylist, inventory checker and payment assistant, all wrapped in Apple’s signature privacy shield.” It was reported in May that Apple was gearing up to give Siri an AI-powered upgrade, potentially posing a challenge to Amazon ’s digital assistant , Alexa . In October 2023, it was reported that Apple was investing $1 billion per year to integrate generative AI across its product line, bringing the technology to its full range of offerings. Advancements in AI are paving the way for voice assistants that can complete more complex tasks, according to the PYMNTS Intelligence report, “ How Consumers Want to Live in the Voice Economy .” The report found that just 7.8% of consumers believe voice technology is as smart and reliable as a real person today. It also found that while 52% of consumers have used voice commands to find and purchase airline tickets and accommodations on their mobile devices, only 44% completed the purchase entirely through voice prompts.

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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.

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goalkeeper Jordan Pickford was 'lucky not to break his leg' following a challenge from midfielder Christian Norgaard. Minutes before half-time in the Toffees and Bees clash at Goodison Park, Norgaard was sent off for a shocking challenge that saw him plant his studs into Everton goalkeeper Pickford's right leg. The England number one could be seen shouting in pain following the challenge, which Norgaard was not initially sent off for. However, following a VAR check, referee Chris Kavanagh sent Norgaard off. While Norgaard did not look to be deliberately intending to injure Pickford, it was a nasty challenge from the Danish midfielder, who was correctly sent off for the shocking challenge. And it had fans on social media saying the Everton star was lucky not to have broken his leg following Norgaard's challenge. One fan wrote on X: "100% sending off, how can he argue that! How Pickford hasn't broke his leg is a miracle!" A second said: "Man, Pickford could've so easily broken his leg there." A third commented: "Pickford is lucky that he didn't break his leg." Come and join The Daily Star on , the social media site set up by ex-Twitter boss Jack Dorsey. It's now the new go-to place for content after a mass exodus of the Elon Musk-owned Twitter/X. Fear not, we're not leaving , but we are jumping on the bandwagon. So come find our new account on , and see us social better than the rest. You can also learn more about The Daily Star team in what Bluesky calls a . So what are you waiting for?! Let's A fourth said: "100% a red card for Norgaard. You as a player are responsible for your actions and the consequences of those actions. He straightens his leg and connects with force on Pickford’s knee. It’s endangering the safety of the player, excessive force, and a justified red." And a fifth wrote: "Not sure what Brentford are complaining about there" adding: "whether intentional or not, he could’ve folded Pickford knee." Earlier in the day, there was another shocking challenge in Chelsea's 2-1 win over when Foxes midfielder Wilfred Ndidi planted his studs on Cole Palmer's ankle, only to be given a yellow card.

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