Nvidia has promised a next-generation AI chip called “Rubin,” despite some recently released AI chip, the “Blackwell,” which is still in manufacturing and set to be released in the second half of 2024. This is not a rapid discharge at all, given the competition for the AI chip market and the company’s efforts to remain dominant.
The announcement was made by Nvidia’s chief executive officer Jensen Huang on the eve of the COMPUTEX tech which is taking place in Taipei. He stated that Nvidia is expected to launch new AI chip models annually, although before they adopted this approach, they did so every two years. The time taken from Blackwell’s departure to Rubin’s appointment was less than three months, hence the pressure that comes with competing within the same industry.
Nvidia dominates the field, but all the giants of the industry, such as AMD, Intel, Microsoft, Google, and Amazon, are working toward establishing themselves in this market. However, some of the companies depicted in the figure are also Nvidia’s clients; still, they are working on AI technology to enter the market too. Also, many startups exist to disrupt Nvidia’s dominance now.
When asked, Huang said that the world is standing on the cusp of a new generation of computing that is set to be spurred by innovation in artificial intelligence and high-speed processing. He said that he thinks Nvidia is already on the vanguard of developing new technologies and bringing about the next breakthroughs.
There are new GPUs for training and running the systems in AI, as well as a new central processor known as Vera in the new Rubin chip platform. Some details about those enhancements were not revealed at the time of announcement but it shows that fast innovation is the key for Nvidia.
Is AI a Threat to Coders? This Article Says the Opposite
Some coders like Aryan Kumar do not consider Artificial Intelligence, AI a threat that would stop them from practicing their careers. Aryan: Mid-level coder from India, who confirmed that AI is used to accomplish particular tasks, efficiently check outcomes, and manage sophisticated cases. This opinion is expressed by numerous experts on data science and AI as they view AI as a tool that can enrich and facilitate their work.
Mrs. Rekha Jagtiani and three sons: Manish Jagtiani who is the founder of Babyshop and Kids City and co-founder of Splash, Vivek Jagtiani, the director of Splash and Zuheer Jagtiani, the director of Kid: Shop. ai, informs that AI helps to free the coders’ time, and while they code, they can think about things like how to build robust architectures, finding problems that would otherwise hardly be noticed, and enhancing user experience. The information given in this blog shows that AI not only augments the work of coders but also helps them become more efficient.
AI companions like GitHub Copilot, Microsoft 365 Copilot, and Replit help coders by providing hints for line codes, providing suggestions and corrections for syntax, fixing issues, or even running debug checks. This saves time since coders can spend less time coding the skeleton of the project, and instead focus on other aspects of it. Programs like DeepCode also rely on artificial intelligence to detect the presence of bugs and recommend the appropriate corrections, making the entire debugging process considerably less complicated.
Kamlesh Patil of CoRover an AI programmer stated that self-driving cars were similar to having a master who would show one error with their work. It also prints out its output, formats the source code, generates appropriate docstrings and comments, and creates unit tests where required. In fact, it can create the first-line sketches of code experts further modifying and customizing. Software for particular or simpler UI-UX designs can be coded using other tools.
However, all the experts maintain that with the successful development of AI systems, it is impossible to overcome human coders and their distinct emotional and creative insight. Kartik Narayan, CEO of Staffing at Teamlease Services, says that activities such as understanding human emotion, human culture, or human values are critical in user interfaces, which are not possible to be delivered by tech bots in this domain or the next 5 to 10 years.
Code testing is also one of those chores that are exceptionally useful yet very time-consuming, where AI also comes in handy. It can generate and operate tests to look for weaknesses with a smoother process compared to editing an essay. As for routine, mundane tasks, such as writing boilerplate code and carrying out extensive tests, that can be entrusted to an AI, yet for coding immensely complicated logic into applications as well as considering architecture, no AI system is applicable. Other tasks will always need some level of hand-bending, meaning that human effort in this respect will always be needed.
Patil agrees with the implication that insecurity is likely to be a major factor since people want to avoid being replaced by foreigners. Still, he notes that human discretion and expertise remain critical in JustAI’s operations as the company tries to produce quality work in a way that is efficient and relevant despite AI enhancement.
In an interview with Vijay K Thadani, the vice chairman and managing director of NIIT, Thadani describes the present status as similar to the times when the BPO industry underwent a revolution based on the principle of robotic process automation_ or RPA. RPA added value in the calls industry by reducing some of the employment tasks thereby enhancing productivity among the employees. In the same way, AI can work on small-scale processes in large applications, but some logical considerations will always need to be introduced by the programmer.
Thadani also agrees that the automation of software development has the potential to affect the nature of coding in some ways but if programmers are considered redundant it’s an over-exaggeration. Recently, the initial developer of Keras said that the number of professional programming software is 26 million today, and in five years, it will increase to 30-35 million.
With the increasing push of AI, it may be difficult to dispute that code-related activities will begin to be programmed and basic levels of coders may see their jobs change or become obsolete. While current AI capabilities allow mechanisms for the coding of large projects to be run autonomously, somewhere along the line there will still always be a call for human interference, supervision, and inspiration in the field of software development. Pondering over the future of developers, Dattatreya R Hullur, the principal data scientist at Happiest Minds has high expectations from AI that would help turn developers into better performers that build innovative and efficient software solutions into the future.
Get Ready for Takeoff! How AI is Revolutionizing the Way We Fly
Even though airlines may not be thinking of freeing themselves of pilots by having AI take over the flight controls, the use of AI has already started making waves in the airline industry. Business advisors argue that AI’s application is disrupting the nature of operations for airlines and assisting those businesses to increase efficiency to have a strategic advantage.
Julie Pozzi, the head of data science and AI at Air France-KLM said while speaking to TCT before the International Air Transport Association, IATA meeting in Dubai that data and AI are ‘fantastic tools’ for the aviation sector. The top management of the airline industry is expected to attend this global summit to deliberate on the hottest topics within the airline business such as new AI applications.
This has led aviation companies and other companies that worked with reasonably low profitability, and thin profit margins, to embrace Artificial Intelligence. According to Geoffrey Weston, an expert at Bain & Company-b Bain AI, AI is best described as a “new frontier”, which turbo-charges technology and capabilities. When it comes to the uncertain conditions in an organization, AI makes it easier to ensure that the correct data is provided to the appropriate person at the right time.
Air France-KLM: AI is currently employed in over 40 projects within the management of this company. Their strategy entails such a tool that can answer customers’ inquiries in 85 languages, which Air France representatives plan on implementing at the Paris Charles de Gaulle airport in 2022.
Groupe ADP, the operator of Paris airports, has partnered with startups to incubate and deploy several AI initiatives. For instance, at Allobrain, the innovation system in ADP uses voice recognition to reply to phone calls to the airport, therefore minimizing the number of unanswered calls from fifty percent to ten percent, with the support of Alban Negret, the head of the division of innovation in ADP. Another project with Wintics is done via automatized image recognition capable of analyzing surveillance images to optimize drop-off zones and shuttle circulations in a real-time mode.
While air travel expansion takes place waiting for time performance is a major concern. An aerospace analyst and researcher Jerome Bouchard also agrees that the need for improvement is the result of having more passengers in a limited area. He understands where facial recognition would be useful, such as at security checkpoints at the airport; however, this is not possible because current facial recognition systems need a lot of coordination and currently, this aspect is missing.
Today’s airplanes are, in essence, computer systems in their own right – they constantly produce mountains of data from their diagnostics and control functions. It is important here to underscore that the aforementioned data can be effectively used to improve several activities related to the airline business with the help of AI solutions. But when it comes to the operation of the aircraft, all and sundry stress that there is no substituting the role of the man. Another example of a CEO giving a balanced view on AI is Patrice Caine of Thales, who stressed that decisions should continue to be made by people and therefore the term AI should be seen as ‘assisted intelligence’.
Therefore, AI in aviation is not a threat to end pilots’ careers today but rather has become more of a driver for change that is turning airline operations into a more efficient customer-oriented industry. Therefore, with the development and the major role of technology in life, AI will also aid and complement human efforts in the aviation industry.
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