During the Chandrayaan-3 launch, ONTV provided a seamless viewing experience for commuters across Mumbai, Kolkata, and Bangalore
Mumbai, 17th July 2023: ONTV, India’s leading transit media advertisement brand, is excited to announce the successful live streaming of the highly anticipated Chandrayaan-3 launch. As the exclusive live-streaming partner for the event, ONTV provided a seamless viewing experience for commuters across Mumbai, Kolkata, and Bangalore, enabling them to witness this historic moment in India’s lunar exploration. Chandrayaan-3, a follow-on mission to Chandrayaan-2, aimed to demonstrate end-to-end capabilities in safe landing and roving on the lunar surface. The launch took place at 2.35 PM IST on Friday, July 14, from the Satish Dhawan Space Centre (SDSC) SHAR in Sriharikota, Andhra Pradesh. ISRO Chairman S Somanath arrived at the mission control to oversee the launch, as the countdown began for India’s second attempt to soft-land on the Moon. If ISRO pulls off this mission successfully, India will join an exclusive list of just three other countries that have managed a soft landing on the Moon—the United States, the erstwhile Soviet Union, and most recently, China. Both the United States and the Soviet Union crashed many spacecraft before they successfully landed on the Moon. China was the only country to succeed in its first attempt with the Chang’e-3 mission in 2013. ONTV’s extensive network and technological expertise allowed audiences to be part of this momentous occasion. Commuters could conveniently watch the live stream showcasing India’s remarkable achievements in space exploration. ONTV, India’s only transit media advertisement brand, takes pride in offering unique and engaging content while fostering a sense of national pride among its audience. “We are delighted to have provided commuters nationwide with the opportunity to witness the Chandrayaan-3 launch through our exclusive live-streaming services,” said Mr. Tarun Pugalia, Founder & Managing Director of ONTV. “Our goal is to connect with the masses and bring significant moments like this directly to their daily lives. By showcasing India’s advancements in space exploration, we aim to inspire and instill a sense of awe and wonder among our viewers.” For more information about ONTV and its services, please visit- https://ontv.co.in/. Join ONTV in celebrating India’s achievements in space exploration and stay tuned for more exciting initiatives. About ONTV: ONTV is India’s only transit media advertisement brand, providing innovative advertising solutions to captivate commuters across the country. With a wide network of displays and digital screens in trains, ONTV delivers engaging content and advertising to a vast audience. Media Contacts: Apoorva Raturi – apoorva.raturi@communicateindia.com | +918169870030 Neha Kachhawa – neha.kachhawa@communicateindia.com |+918595022057
Hong Kong Film Industry Alarmed: Censorship Deters Investors & Actors
A wave of worry and uncertainty is already sweeping Hong Kong’s thriving film industry as a result of the city’s recently enacted censorship ordinance. Industry actors, investors, and filmmakers are voicing concern about the legislation’s potential effects on their works and artistic freedom. The Legislative Council passed amendments to the Film Censorship Ordinance in 2021, allowing the government to ban films deemed contrary to national security. Shaken Investor Confidence Investors in the film industry are being cautious as a result of Hong Kong’s implementation of the National Security Law. Investor confidence has decreased as a result of concerns about potential censorship and getting involved brought on by the law’s unclear language and broad clauses. An already financially risky industry faces major challenges as a result of this additional uncertainty. Talent Drain and Reduced International Appeal There are worries that talented individuals would leave Hong Kong’s film business as a result of the censorship law’s adoption. Respected performers and directors who were once lured to the city’s vibrant arts community are now considering their future in a setting that is thought to be hostile to creative expression. Hong Kong’s standing as a center of high-caliber filmmaking is at risk due to this exodus of talent. Uncertain Future for Hong Kong’s Film Legacy Hong Kong has a long history in the film industry and is renowned for creating ground-breaking films that are well-liked by viewers all over the world. The continuation of this heritage is now in doubt due to the passage of the censorship law. The decline of creative freedom, according to filmmakers and industry insiders, will result in a loss of creativity, quality, and the distinctive cinematic offers that have characterized Hong Kong’s film industry. The Film Division examines films intended for public exhibition under the three-tier film classification system. The Future of Hong Kong’s Film Industry The Hong Kong film industry is currently at a turning point as it navigates a difficult and uncharted territory. The future of the business and its capacity to continue making contributions to the world of cinema will largely depend on how well it can adjust and come up with new answers to these problems. Filmmakers, performers, and investors are united in their commitment to upholding the principles of artistic freedom and creative expression despite the uncertain road ahead. With the hope that the spirit of creativity and storytelling that has characterized Hong Kong’s film industry for decades will remain, the future of the city’s film industry hangs in the balance as the world watches.
Tesla in India is Finally a Reality! Government’s Green Signal
Tesla’s senior executives have flown to Delhi to discuss the business’s ambitions to establish operations in the country, reviving expectations of the company entering India after months of stagnation. The presence of the American carmaker here is probably going to accelerate the transition of the automotive sector toward sustainable and electric transportation. A Shift of Tesla in India Elon Musk’s Tesla is now thinking about producing in India and is no longer lobbying for a reduction in the import tariff on fully manufactured units, which is at 100% for vehicles costing $40,000 and more. 60% of the tax is applied to vehicles that cost less. In the past, Tesla has called for a reduction in the duty to 40%. “We have signaled to them that the government of India is working together (and) will certainly make whatever ambitions they have or investment objective they have in (making them) India (plans) a success,” said Union Minister of India, Rajeev Chandrasekhar. A few days after that high-profile visit, Musk announced on Twitter that he’ll likely pick a new Tesla factory location by the end of the year—and confirmed that India is an ‘absolutely’ interesting option. Brief History The Tesla Model 3 was the company’s first ‘affordable’ automobile when Elon Musk, the flamboyant CEO of the American automaker Tesla Inc., unveiled it in 2016, and an order page for India was also made available. Indian IT businessmen hurried to place orders. There was an expectation that the producer of electric vehicles would soon begin operating in India. Tesla had, after all, stated in 2015 that it “would consider” constructing a battery facility in India, according to Musk. The company’s decision to warm up to India again is part of its aim to diversify and grow outside of China, which is now its biggest market outside of the US. India might definitely serve as a substitute market because the national government is keener on fostering domestic production. The largest EV manufacturer in the world, Tesla, has numerous US plants, including one in Fremont, California. The business also has plants close to Shanghai, China, and Berlin, Germany.
Scientists Initially Test “Synthetic” Human Embryos Made With Stem Cells
According to news sources, scientists have used stem cells to make Synthetic Human Embryos. Surprisingly, these embryos apparently originated from embryonic stem cells, therefore sperm and ova are not necessary for their development. A novel method for simulating the early stages of life has been developed by scientists at the University of Cambridge using mouse stem cells. These model embryos feature a brain, a beating heart, and the building blocks for all the other bodily parts. These model embryos, which mirror those in the earliest stages of human development, may offer an important insight into the effects of genetic abnormalities and the molecular factors that contribute to recurrent miscarriage, according to scientists. Since lab-grown entities are illegal in the UK and most other nations, the development also poses significant ethical and legal concerns. The structures contain cells that would ordinarily develop into the placenta, yolk sac, and embryo itself but lack a beating heart and the beginnings of a brain. Mimicking Nature By directing the three varieties of stem cells that are present in early mammalian development to the stage when they begin interacting, the researchers were able to reproduce natural processes in the laboratory. The scientists were able to persuade the stem cells to “talk” to one another by triggering the expression of a certain set of genes and creating a special environment for their interactions. According to Robin Lovell-Badge, director of developmental genetics and stem cell biology at the Francis Crick Institute in London: “The idea is that if you really model normal human embryonic development using stem cells, you can gain an awful lot of information about how we begin development, what can go wrong, without having to use early embryos for research.” “Constructing” Embryos The model constructions, which were each developed from a single embryonic stem cell, have begun to undergo gastrulation, a developmental stage in which the embryo changes from being a continuous sheet of cells to generating discrete cell lines and establishing the basic axis of the body. The model demonstrated the presence of primordial cells, which are the precursor cells of egg and sperm, albeit the embryo at this stage does not yet have a beating heart, a functioning stomach, or the beginnings of a brain.
“Innovation is Power” Toyota Announces Hydrogen Combustion Engine As Toyota Mirai
Sustainable ways to travel have been a purpose for research and development for a while now. Every company today wants to be the first to introduce the next best alternative that is not only efficient but also environment friendly. For many years, Toyota has been one of the leading advocates for the use of hydrogen fuel in both road vehicles and racing vehicles. Recently, Toyota announced to the world that they are here with its hydrogen fuel cell vehicle- Toyota Mirai. Toyota presented its hydrogen fuel cell vehicle at the ongoing Auto Expo 2023 event in Greater Noida. Running on hydrogen, Toyota Mirai can give a range of up to 640 km in a full tank. The company has brought this car to India as a pilot project for hydrogen cars. It is believed that the cost of running a km from this comes to only one rupee. Toyota Mirai is termed a Fuel Cell Electric Vehicle (FCEV). It contains a hydrogen tank, and when oxygen and hydrogen taken from the atmosphere react there, electricity is produced as a result. “For FCEVs, we will pursue mass production centered on commercial vehicles,” said Hiroki Nakajima, Toyota’s chief technology officer. “One feature of FCEVs is that the energy source, hydrogen, is lightweight so even when traveling longer distances the vehicle is not as heavy as a battery EV, and less space is required. Refueling is also much quicker. Taking advantage of these strengths, we will work with business operators to promote FCEVs by starting with commercial vehicles such as medium to heavy-duty trucks.” The Technicalities The electric motor has a power output of 182 horsepower and a max torque of 300 Nm. The automobile can go from 0-100 Kmph in 9.2 seconds thanks to its electric powertrain. On the Toyota New Global Architecture platform, Mirai was created. It is a 4.9 m long car in the coupe design. It has a 12.3-inch touchscreen interface and 20-inch wheels. Other amenities include a color head-up display, a panoramic sunroof, a digital rear-view mirror, a wireless charger, heated and ventilated seats, and Toyota Teammate driving aid software.
Canada’s Online News Act Mandates Tech Giants to Pay for News, Meta Responds
Local journalism is the power and voice of every region. It has its importance on the ground level as well as higher. Many countries like Australia, France, and India have their own set of laws for their local journalists. Be it for their safety, their expenses, or their privacy. Canada stands in line proudly as it changes its local journalism laws that force tech giants to pay for content for local media. The Online News Act, or Bill C-18, mandates tech companies to pay for the content they get from local or domestic media outlets. The Law The Online News Act creates greater justice to maintain the viability of the news industry by leveling the playing field between news organizations and significant internet platforms. “A free and independent press is fundamental to our democracy. Thanks to the Online News Act, newsrooms across the country will now be able to negotiate fairly for compensation when their work appears on the biggest digital platforms. It levels the playing field by putting the power of big tech in check and ensuring that even our smallest news business can benefit through this regime and receive fair compensation for their work.” —Pablo Rodriguez, Minister of Canadian Heritage More Such Laws France will pay publishers and news organizations for using their news. The first US state to examine such a plan, California lawmakers earlier this month filed a bipartisan measure forcing digital platforms to pay news publishers for the information they carry. It would be necessary for online platforms to have at least 50 million US monthly active users, 1 billion active users globally, or US yearly net revenues or market cap if the proposal were to be adopted by the state senate and become law. To pay accredited media organizations about $550 billion to host their material. Replies and Reactions In reaction to laws that would force internet behemoths to compensate news publishers, Meta intends to block access to news on Facebook and Instagram in Canada. “We are confirming that news availability will be ended on Facebook and Instagram for all users in Canada before the Online News Act (Bill C-18) takes effect,” Meta said in a blog post. “We have repeatedly shared that to comply with Bill C-18, content from news outlets, including news publishers and broadcasters, will no longer be available to people accessing our platforms in Canada.”
Knowledge Swims and Money Sinks: James Cameron Claims Warnings Were Ignored
For years, there have been people wanting to explore the lost city of Atlantis, the remains of the Titanic. Well, it finally came to reality and didn’t go as planned. A company named OceanGate Inc. decided to start a submersible service for the exploration of the ruins of the Ship Titanic. After charging an amount of $250,000, a ship with 5 people would go to, what possibly is the bottom of the ocean, and see the great sunken ship. But this particular ship containing 5 explorer passengers did not see the ship go down. What is OceanGate? OceanGate Inc is a US-based company. Founded in 2009, it recognizes itself as “an ocean exploration venture focused on providing crewed submersible services to enable researchers and explorers access to the oceans’ vast resources.” The company started this “Titanic Exploration” trip called “The Titan Trip” which gives people above the age of 18 a chance to go nearly 4000 meters down the Atlantic Ocean to see the wrecks of the Titanic. The Incident On Sunday, June 18th, the Titan’s vessel went down on yet another exploration of the Titanic. The vessel takes approximately 2 hours to even get to the site and is controlled and navigated through stations above the surface. Eyebrows raised when 45 minutes into the trip, the radars lost communication with the vessel, and the ship was supposedly swimming around in the darkness and depth of the Atlantic Ocean with no way of getting out. Search for the ship begins and everyone is in panic as the vessel has about four days of emergency oxygen. News stations around the world are covering this story of 5 curious explorers, Stockton Rush (Age 61, CEO of OceanGate), Shahzada Dawood (Age 48), his son Suleman (Age 18), and Hamish Harding (Age 58), and Paul-Henry Nargeolet (Age 77) as they went missing. Warnings and Predictions OceanGate’s engineering team was about to finalize the specifications for the Titan ship in 2018 when the Director of Marine Operations, David Lochridge worked out a report which emphasized the fact that the ship needed a lot of prior testing and preparation. The ship was not ready yet and contained “the potential dangers to passengers of the Titan as the submersible reached extreme depths”. Within the same year, OceanGate received similar calls and suggestions regarding the ship. The letters and calls to the company described the company’s “experiment” as potentially “catastrophic”. Several marine experts had a common vote on the decision of not letting the ship into the waters yet. At least not before more testing and rigidity, safety, and other tests. James Cameron said “OceanGate had been warned” As the director of the 1997 movie “Titanic”, James Cameron has a special connection with the sunken ship. Having more than 33 complete dives to the wreck of Titanic, he felt the loss of the Titan submersible and the 5 people on board. “I felt in my bones what had happened. For the sub’s electronics to fail and its communication system to fail, and its tracking transponder to fail simultaneously – sub’s gone.” The Hollywood director claims the radars can’t lose communication and navigation without an extreme catastrophic event. Basically hinting towards an explosion or some other event. “We now have another wreck that is based on unfortunately the same principles of not heeding warnings,” he said. “OceanGate were warned.” Simpsons Simpsons are responsible for some eerily accurate predictions of various events around the world. What amuses people is that the predictions were aired years and years before the event takes place. Soon after the news of the missing sub came in, a video of a 1998 Simpsons episode showed 2 submarines under the ocean. The clip proceeds to show the main character panicking seeing the oxygen level go “low”, “lower”, “slightly risen” and then “over”.
Battle of Billionaires: Elon Musk Teases Mark Zuckerberg for UFC Fight
Elon Musk and Mark Zuckerberg have always been compared on the basis of their mental abilities. Both are geniuses in their own fields – creating cars, apps, metaverses, and more. Recently, Musk issued what at first glance appeared to be a humorous challenge to combat Zuckerberg. But when Zuckerberg said, “Send me the location,” things got serious. UFC President Dana White said in an interview with TMZ Sports that both Musk and Zuckerberg are “absolutely dead serious” about engaging in an octagon contest. “I was talking to both Elon and Mark last night. Both guys are absolutely dead serious about this. They both said, ‘Yeah, we’ll do it!’,” said White. The chain of events that brought up the current situation began on Tuesday when Musk made fun of rumors that Zuckerberg’s Meta was about to launch Threads, a Twitter competitor. Confirmations from the Chief Many might just think this is a silly play or banter between the three- Musk, Zuckerberg, and White. But, when UFC President Dana White states with a serious expression giving the details, it gets serious. In an interview, Dana White says that it will be the biggest battle in fighting history. The biggest bout of all time included Floyd Mayweather and Conor McGregor. The odds for it have already been made public on the betting website Bovada. “I simply believe it triples that,” the user writes. 51-year-old Musk has a tenuous -150 advantage. Despite his skill in jiu-jitsu, Mark Zuckerberg, 39, is favored by +110. The Fighters! Mark Zuckerberg participates in and likes the sport of mixed martial arts. He has previously competed in semi-pro Brazilian Jiu-Jitsu tournaments and taken home trophies. He is unquestionably decent at it, as can be seen from his approach and dedication. Elon Musk cannot be claimed to have done the same as he simply told Dana that he had taken part in countless fights in South Africa when he was younger. Though it will undoubtedly take him a few months of practice before he feels comfortable locking Zuckerberg in that cage.
Machine Learning in Finance: Is AI Going to Take Your Money Too?
It is like a weird and continuous knock-knock jokes the way artificial intelligence is making its way and knocking on the doors of every field and industry. The Artificial Intelligence and Machine Learning train’s new destination is the Finance industry. The keys to corporate success are sophisticated, intelligent security systems and efficient client services. In particular, financial institutions must use cutting-edge technology to keep ahead of the curve to optimize their IT and satisfy the most recent market demands. Machine learning in finance makes these services more accurate in drawing insights and making predictions. When enormous amounts of data are introduced into the system, machine learning tends to be more accurate when deriving insights and generating predictions. When it comes to everyday transactions, invoices, payments, vendors, and clients, for instance, the financial services sector frequently encounters vast amounts of data that are ideal for machine learning. Advanced machine learning in finance smoothens multiple transactions and processes. Machine learning is an application of artificial intelligence that focuses on creating systems that can access data sources and change their settings on their own to enhance user experiences. Computer systems do tasks in the background and provide results based on their programming. There have been multiple machine learning applications in finance that will help professionals and customers. Machine Learning in Finance is Here to Stay! While this might be a newer concept individually, Machine learning in finance has been around for a while. So the question isn’t “Can machines learn finance”, but how does advanced machine learning in finance work? Recently, machine learning has gained popularity in the banking industry as a result of the accessibility of enormous amounts of data and more accessible processing power. All facets of finance are using data science and machine learning significantly more. Building effective infrastructure, utilizing the appropriate toolbox, and employing the appropriate algorithms are all essential for machine learning to be successful in the banking industry. This book makes use of and illustrates the ideas associated with these machine learning in finance building elements. The cost of operating in the financial sector has decreased dramatically as a result of applications based on machine learning and AI. According to a survey, chatbots alone have reduced customer service expenses by 30%. Banks and financial institutions have used AI to conduct millions of online KYC verifications. The usage of these technologies has reduced the amount of paper used for record-keeping significantly because the majority of these processes are now digital. Algorithmic Trading The employment of algorithms to carry out deals automatically is known as algorithmic trading (or simply algo trading). Algorithmic trading, which dates back to the 1970s, is the use of automated preprogrammed trading instructions to make incredibly quick, objective trading judgments. This practice is also often referred to as automated trading systems, which is perhaps a more appropriate term. Algorithmic trading might go to new heights thanks to machine learning in finance. In addition to increasingly sophisticated methods being used and modified in real-time, machine learning-based techniques may also provide additional ways to get a unique insight into market movements. For good reason, the majority of hedge funds and financial institutions do not publicly discuss their machine learning-based trading strategies, yet machine learning is becoming more and more crucial to calibrating trading choices in real time. Flagging Cheaters For banks and other financial services providers, fraud is a big issue that results in annual losses of billions of dollars. Finance businesses typically store a lot of their data online, which raises the possibility of a security breach. With the development of technology, fraud in the financial sector is increasingly seen as a danger to sensitive data. As a result, the majority of businesses nowadays use machine learning to detect and stop illegal financial activities. Machine learning identifies unusual actions or abnormalities in huge data sets and flags them for further analysis by security experts. It determines if a flagged transaction is similar to the account holder’s behavior by comparing it to other data points, such as the customer’s account history, IP address, location, etc. The system may then automatically reject a withdrawal or purchase until a person decides, depending on the specifics of the transaction. Machine Learning Application in Finance By 2026, it is expected that the value of the worldwide market for machine learning solutions in finance would surpass USD 90.1 billion. The financial industry is always working on effective solutions and comprehensive features to increase the benefits it receives from the financial sector. Current machine learning applications in finance are now receiving a terrific ROI and more prospective customers thanks to the present apps. 1. Automation In Finance Financial organizations gain from business process automation and streamlining in a variety of ways. For instance, businesses might utilize these technologies to automate repetitive operations like data entry and financial monitoring. Employees may now concentrate on tasks that genuinely call for human involvement thanks to this. 2. Improve Customer Relations Customer interactions are one of the most realistic uses of machine learning in banking. Through on-demand assistance and real-time advice, finance businesses use ML technologies like chatbots to enhance the client experience. To speed up and simplify the process, insurance companies frequently automate customer onboarding and acquisition. 3. Security Analysis and Portfolio Financial organizations gain from business process automation and streamlining in a variety of ways. For instance, businesses might utilize these technologies to automate repetitive operations like data entry and financial monitoring. Employees may now concentrate on tasks that genuinely call for human involvement thanks to this. Customer interactions are one of the most realistic uses of machine learning in banking. Through on-demand assistance and real-time advice, finance businesses use ML technologies like chatbots to enhance the client experience. To speed up and simplify the process, insurance companies frequently automate customer onboarding and acquisition. 4. Trade Settlement Process Automation The trade settlement procedure can be laborious and prone to mistakes. Trades can occasionally even go wrong. Before machine learning was used in finance, office
Meet ANDI! The First-Ever “Sweating, Breathing, and Shivering” Robot
The basic difference differentiating robots from humans is the natural bodily actions andprocesses we can do that robots can’t. This includes digestion, urination, or perspiration. Somewisdomous minds are constantly working towards deleting these differences between humansand their “humanoid” robots. A humanoid robot that can breathe and perspire is being used byArizona State University researchers to examine how severe heat affects the body, including butt sweat. However bizarre ANDI (and its rear end) may appear, the gadget may aid scientists in creatingbetter goods, techniques, and therapies to protect populations as the world continues its risky,climate change-related warming tendencies. According to scientists, they have created the first “breathing, sweating, shivering” robot, whichwas created to adapt to various temperatures. ANDI is a heat-sensitive “thermal mannequin” with 35 independently controllable surfaces thathave pores that bead sweat just like human skin. Meet ANDI! Thermetrics created the NSF Major Research Instrumentation Grant-funded ANDI specificallyfor ASU. He has 35 distinct surface regions that are all independently regulated with temperaturesensors, heat flux sensors, and pores that bead perspiration. He can simulate the thermalfunctions of the human body. Andi’s body is designed with internal cooling channels that circulate cool water throughout it,allowing him to stay cool enough to withstand intense heat while analyzing complex factors suchas solar radiation from the sun, infrared radiation from the ground, and convection from thesurrounding air that affects how hot we perceive various environments. “You can’t put humans in dangerous extreme heat situations and test what would happen,”stated Jennifer Vanos, whose studies have shown a link between excessive heat and health,particularly in active groups like youngsters, outdoor workers, and sports. “But there aresituations we know of in the Valley where people are dying of heat and we still don’t fullyunderstand what happened. ANDI can help us figure that out.” The researchers are also hoping that ANDI, which even has internal “organs” patterned after theirhuman counterparts may provide some further light on deaths that have been linked to the heatin the past. Summertime Experiments Together, ANDI and MaRTy, ASU’s biometeorological heat robot, will be used by researchersthis summer to better understand human sweating mechanisms, such as altering skin temperatureand changing core temperature, and to determine how particular surroundings may increase therisk of heat stress. The ANDI and MaRTy team will first be testing in heat-sensitive locations, such as open streetsand old mobile homes where the AC stopped working, on the campus of Arizona StateUniversity in Tempe. Later, they will go across the larger Phoenix region. “MaRTy can tell us how the built environment modifies the amount of heat that hits the body, butMaRTy doesn’t know what happens inside the body,” said Middel, who studies urban climate andhow urban environments influence weather hazards. “ MaRTy measures the environment, andthen ANDI can then tell us how the body can react.”