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Discuss the recession in IT field or the reason of recession in IT field
Recessions in the IT field, like in any other sector, can result from a combination of macroeconomic factors and industry-specific challenges. Here are some key reasons that might lead to a recession in the IT field, along with their impacts: 1. Economic Downturns Global Recession: A global economicRead more
Recessions in the IT field, like in any other sector, can result from a combination of macroeconomic factors and industry-specific challenges. Here are some key reasons that might lead to a recession in the IT field, along with their impacts:
1. Economic Downturns
2. Over-Saturation of the Market
3. Technological Disruption
4. Geopolitical Factors
5. Supply Chain Issues
6. Labor Market Dynamics
7. Cybersecurity Threats
8. Financial Mismanagement
9. Decline in Venture Capital
10. Changing Consumer Preferences
Impact on the IT Sector
Mitigation Strategies
In summary, recessions in the IT field are influenced by a complex interplay of macroeconomic factors, industry dynamics, and technological trends. Companies that proactively manage these challenges and invest in innovation and efficiency are better positioned to navigate economic downturns and emerge stronger in the long run.
See lessIT
Emerging trends in cloud computing security are evolving to address the increasing challenges of data privacy and protection. Here are some of the key trends and how they are addressing these challenges: 1. Zero Trust Security Description: Zero Trust Security operates on the principle that no entityRead more
Emerging trends in cloud computing security are evolving to address the increasing challenges of data privacy and protection. Here are some of the key trends and how they are addressing these challenges:
1. Zero Trust Security
Description:
Addressing Challenges:
2. Secure Access Service Edge (SASE)
Description:
Addressing Challenges:
3. Confidential Computing
Description:
Addressing Challenges:
4. Artificial Intelligence and Machine Learning for Security
Description:
Addressing Challenges:
5. Multi-Cloud Security Solutions
Description:
Addressing Challenges:
6. DevSecOps
Description:
Addressing Challenges:
7. Cloud-Native Security
Description:
Addressing Challenges:
8. Privacy-Enhancing Technologies (PETs)
Description:
Addressing Challenges:
9. Identity and Access Management (IAM)
Description:
Addressing Challenges:
10. Regulatory Compliance Automation
Description:
Addressing Challenges:
Conclusion
These emerging trends in cloud computing security are crucial for addressing the evolving challenges of data privacy and protection. By implementing these technologies and practices, organizations can enhance their security posture, protect sensitive data, and ensure compliance with regulatory requirements in the dynamic landscape of cloud computing.
See lessDiscuss the challenges and solutions for achieving fault tolerance in cloud environments.
Yes, there are many career opportunities in ReactJS due to its widespread use and popularity in web development. ReactJS, developed and maintained by Facebook, is a JavaScript library for building user interfaces, particularly single-page applications. Here are some career paths and opportunities asRead more
Yes, there are many career opportunities in ReactJS due to its widespread use and popularity in web development. ReactJS, developed and maintained by Facebook, is a JavaScript library for building user interfaces, particularly single-page applications. Here are some career paths and opportunities associated with ReactJS:
The demand for ReactJS professionals continues to grow as more companies adopt React for their web development projects. Developing a strong portfolio, contributing to open-source projects, and staying current with the latest developments in the React ecosystem can enhance career prospects in this field.
See lesswhat is the main reason behind the python popularity and demand in IT
Python's popularity and demand in IT can be attributed to several key reasons: Ease of Learning and Use: Python's syntax is clear, readable, and concise, making it accessible to beginners and allowing developers to write and understand code quickly and efficiently. Versatility: Python is a general-pRead more
Python’s popularity and demand in IT can be attributed to several key reasons:
- Ease of Learning and Use: Python’s syntax is clear, readable, and concise, making it accessible to beginners and allowing developers to write and understand code quickly and efficiently.
- Versatility: Python is a general-purpose language that can be used for a wide range of applications, including web development, data analysis, artificial intelligence, machine learning, automation, and more.
- Extensive Libraries and Frameworks: Python boasts a vast ecosystem of libraries and frameworks, such as Django and Flask for web development, Pandas and NumPy for data analysis, TensorFlow and PyTorch for machine learning, and many others. These tools significantly speed up development time and reduce the need for writing code from scratch.
- Strong Community Support: Python has a large and active community of developers who contribute to its continuous improvement, provide extensive documentation, and offer support through forums, tutorials, and conferences.
- Integration and Interoperability: Python can easily integrate with other languages and technologies, making it a valuable tool for projects that require interaction with various systems or legacy code.
- Adoption by Major Companies: Many leading tech companies, such as Google, Facebook, and Netflix, use Python extensively in their operations, which further boosts its credibility and demand in the industry.
- Support for Modern Programming Paradigms: Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming, allowing developers to choose the best approach for their specific projects.
- Educational Use: Python is widely used in academia and education for teaching programming and computer science concepts, creating a steady stream of new developers who are proficient in the language.
See lessHow Indian farmers can benefit from AI
Krishna, a smallholding farmer, diligently cultivates his half-hectare plot in Telangana, India, every day. For this, he earns $120 per month—just enough to meet his family's basic needs. But Krishna must also contend with unpredictable monsoons, frequent droughts, pest infestations, and diminishingRead more
Krishna, a smallholding farmer, diligently cultivates his half-hectare plot in Telangana, India, every day. For this, he earns $120 per month—just enough to meet his family’s basic needs.
But Krishna must also contend with unpredictable monsoons, frequent droughts, pest infestations, and diminishing yields. He must battle the impacts of changing climate patterns and soil health. With no access to a bank, Krishna is also forced to use local loan sharks for finance, paying crippling interest rates. Even then, the essential resources he buys with this money – such as seeds, fertilizers and pesticides – aren’t always available.
Post-harvest, Krishna faces another hurdle: 40% wastage in other parts of the supply chain. Logistics, warehousing and accessing a market at which to sell their produce also present significant challenges for many farmers like Krishna.
Strict quality requirements set by traders and processors are also very difficult to meet. These farmers are then trapped in a cycle of subsistence farming because low revenues leave them with less to invest in the next crop cycle. New technologies that make this work easier – precision farming, digital market access or drones, for example – remain out of reach for most farmers like Krishna. They can’t afford the equipment, have limited access to technology and may not have the time to spare to adjust their processes to adopt them properly.
The dynamics of market supply and fluctuating prices only add to these challenges because farmers like Krishna often find themselves losing out when prices fall or demand drops.
Like the other roughly 125 million smallholding farmers in India, Krishna faces these daunting challenges to support himself and his family. For these farmers, agriculture is a high-stakes gamble marked by big risks and minimal returns. Thousands of farmers in India have committed suicide, reflecting financial desperation and weather-induced challenges affect these people.
And Krishna’s story is not unique to India either. An estimated500 million smallholder farmsin the developing world support almost 2 billion people and produce about 80% of the food consumed in Asia and sub-Saharan Africa. Addressing the plight of Krishna and his counterparts around the world to create a more sustainable and equitable future for smallholding farmers will require a holistic, scalable approach that encompasses financial inclusion and climate resilience.
Using AI for agriculture innovation
This is why the World Economic Forum India’s Centre for the Fourth Industrial Revolution, in collaboration with India’s Union Ministry of Agriculture and the state of Telangana, launched the AI4AI initiative (AI for Agriculture Innovation). Reflecting the complexity of the challenge, organisations involved come from industry (agri-inputs, consumer, food processing, finance, insurance and technology firms), the startup ecosystem and farmer cooperatives.
Over eight months starting June 2020, this endeavour held more than 45 workshops, to discuss the challenges smallholder farmers face and how 4IR could help. These discussions lead to a AI4AI plan that helps smallholder farmers by harnessing the power of new technologies including AI, drones and blockchain.
From framework to impact
We tested the AI4AI framework in the Khammam district of Telangana, India, among 7,000 farmers. We involved industry and start-up partners and used state-government data management tools (the agriculture data exchange and the agriculture data management framework) to scale up the initiative among this large group of farmers.
Named Saagu Baagu locally, this initiative has transformed chili farming in Khammam district using bot advisory services, soil testing technology, AI-based quality testing and a digital platform to connect buyers and sellers.
The pilot took 18 months and three crop cycles to complete. During this time, farmers reported a remarkable surge in net income: $800 per acre in a single crop cycle (6 months), effectively double the average income. The digital advisory services contributed to a 21% increase in chili yield production per acre. Pesticide use fell by 9% and fertilizers dropped by 5%, while quality improvements boosted unit prices by 8%.
Saagu Baagu was not only a success for its farmers, it achieved the sustainability and efficiency goals set by AI4AI. As a result, in October 2023, the state government expanded Saagu Baagu to include 500,000 farmers, covering five crops across 10 districts.
Unlocking digital agriculture’s potential
As much of the global south grapples with the challenges of ensuring food security, mitigating climate change impacts and protecting livelihoods, this Indian agtech initiative shows promising results when using AI for agriculture. Collaboration between governments, industry, philanthropists, innovators and farmers can create national frameworks for implementing digital agriculture programmes that ensure food security, sustainability, and alignment with sustainable development goals.
Sharing lessons learned and success stories via these digital platforms gives farmers valuable insights and evidence-based strategies for using AI for agriculture. This can help accelerate innovation and guide global efforts in digital farming, promoting sustainability, inclusivity, efficiency and improved nutrition worldwide.
What is Prompt Engineer Job Profile ?
The job profile of a Prompt Engineer is relatively new and has emerged with the advancement of AI and natural language processing (NLP) technologies, particularly with the development of sophisticated language models like GPT-3 and GPT-4. Prompt Engineers are specialists who design, optimize, and maRead more
The job profile of a Prompt Engineer is relatively new and has emerged with the advancement of AI and natural language processing (NLP) technologies, particularly with the development of sophisticated language models like GPT-3 and GPT-4. Prompt Engineers are specialists who design, optimize, and manage the interactions between AI models and users to ensure that the outputs generated by these models are relevant, accurate, and useful. Here are the main aspects of the Prompt Engineer job profile:
Key Responsibilities
Skills and Qualifications
Career Path and Opportunities
Impact and Future Prospects
The role of a Prompt Engineer is crucial in maximizing the potential of AI language models. As AI technologies continue to evolve, the demand for skilled prompt engineers is likely to grow. They play a key role in ensuring that AI applications are effective, user-friendly, and aligned with ethical standards, making this an exciting and impactful career choice in the tech industry.
See lessIs AI a threat to humans?
12 Risks and Dangers of Artificial Intelligence (AI) AI has been hailed as revolutionary and world-changing, but it’s not without drawbacks. As AI grows more sophisticated and widespread, the voices warning against the potential dangers of artificial intelligence grow louder. “These things could getRead more
12 Risks and Dangers of Artificial Intelligence (AI)
AI has been hailed as revolutionary and world-changing, but it’s not without drawbacks.
As AI grows more sophisticated and widespread, the voices warning against the potential dangers of artificial intelligence grow louder.
“These things could get more intelligent than us and could decide to take over, and we need to worry now about how we prevent that happening,” said Geoffrey Hinton, known as the “Godfather of AI” for his foundational work on machine learning and neural network algorithms. In 2023, Hinton left his position at Google so that he could “talk about the dangers of AI,” noting a part of him even regrets his life’s work.
The renowned computer scientist isn’t alone in his concerns.
Tesla and SpaceX founder Elon Musk, along with over 1,000 other tech leaders, urged in a 2023 open letter to put a pause on large AI experiments, citing that the technology can “pose profound risks to society and humanity.”
Dangers of Artificial Intelligence
Whether it’s the increasing automation of certain jobs, gender and racially biased algorithms or autonomous weapons that operate without human oversight (to name just a few), unease abounds on a number of fronts. And we’re still in the very early stages of what AI is really capable of.
12 Dangers of AI
Questions about who’s developing AI and for what purposes make it all the more essential to understand its potential downsides. Below we take a closer look at the possible dangers of artificial intelligence and explore how to manage its risks.
Is AI Dangerous?
The tech community has long debated the threats posed by artificial intelligence. Automation of jobs, the spread of fake news and a dangerous arms race of AI-powered weaponry have been mentioned as some of the biggest dangers posed by AI.
1. Lack of AI Transparency and Explainability
AI and deep learning models can be difficult to understand, even for those that work directly with the technology. This leads to a lack of transparency for how and why AI comes to its conclusions, creating a lack of explanation for what data AI algorithms use, or why they may make biased or unsafe decisions. These concerns have given rise to the use of explainable AI, but there’s still a long way before transparent AI systems become common practice.
2. Job Losses Due to AI Automation
AI-powered job automation is a pressing concern as the technology is adopted in industries like marketing, manufacturing and healthcare. By 2030, tasks that account for up to 30 percent of hours currently being worked in the U.S. economy could be automated — with Black and Hispanic employees left especially vulnerable to the change — according to McKinsey. Goldman Sachs even states 300 million full-time jobs could be lost to AI automation.
“The reason we have a low unemployment rate, which doesn’t actually capture people that aren’t looking for work, is largely that lower-wage service sector jobs have been pretty robustly created by this economy,” futurist Martin Ford told Built In. With AI on the rise, though, “I don’t think that’s going to continue.”
As AI robots become smarter and more dexterous, the same tasks will require fewer humans. And while AI is estimated to create 97 million new jobs by 2025, many employees won’t have the skills needed for these technical roles and could get left behind if companies don’t upskill their workforces.
“If you’re flipping burgers at McDonald’s and more automation comes in, is one of these new jobs going to be a good match for you?” Ford said. “Or is it likely that the new job requires lots of education or training or maybe even intrinsic talents — really strong interpersonal skills or creativity — that you might not have? Because those are the things that, at least so far, computers are not very good at.”
Even professions that require graduate degrees and additional post-college training aren’t immune to AI displacement.
As technology strategist Chris Messina has pointed out, fields like law and accounting are primed for an AI takeover. In fact, Messina said, some of them may well be decimated. AI already is having a significant impact on medicine. Law and accounting are next, Messina said, the former being poised for “a massive shakeup.”
“Think about the complexity of contracts, and really diving in and understanding what it takes to create a perfect deal structure,” he said in regards to the legal field. “It’s a lot of attorneys reading through a lot of information — hundreds or thousands of pages of data and documents. It’s really easy to miss things. So AI that has the ability to comb through and comprehensively deliver the best possible contract for the outcome you’re trying to achieve is probably going to replace a lot of corporate attorneys.”
MORE ON ARTIFICIAL INTELLIGENCEAI Copywriting: Why Writing Jobs Are Safe
3. Social Manipulation Through AI Algorithms
Social manipulation also stands as a danger of artificial intelligence. This fear has become a reality as politicians rely on platforms to promote their viewpoints, with one example being Ferdinand Marcos, Jr., wielding a TikTok troll army to capture the votes of younger Filipinos during the Philippines’ 2022 election.
TikTok, which is just one example of a social media platform that relies on AI algorithms, fills a user’s feed with content related to previous media they’ve viewed on the platform. Criticism of the app targets this process and the algorithm’s failure to filter out harmful and inaccurate content, raising concerns over TikTok’s ability to protect its users from misleading information.
Online media and news have become even murkier in light of AI-generated images and videos, AI voice changers as well as deepfakes infiltrating political and social spheres. These technologies make it easy to create realistic photos, videos, audio clips or replace the image of one figure with another in an existing picture or video. As a result, bad actors have another avenue for sharing misinformation and war propaganda, creating a nightmare scenario where it can be nearly impossible to distinguish between creditable and faulty news.
“No one knows what’s real and what’s not,” Ford said. “So it really leads to a situation where you literally cannot believe your own eyes and ears; you can’t rely on what, historically, we’ve considered to be the best possible evidence… That’s going to be a huge issue.”
MORE ON ARTIFICIAL INTELLIGENCEHow to Spot Deepfake Technology
4. Social Surveillance With AI Technology
In addition to its more existential threat, Ford is focused on the way AI will adversely affect privacy and security. A prime example is China’s use of facial recognition technology in offices, schools, and other venues. Besides tracking a person’s movements, the Chinese government may be able to gather enough data to monitor a person’s activities, relationships, and political views.
Another example is U.S. police departments embracing predictive policing algorithms to anticipate where crimes will occur. The problem is that these algorithms are influenced by arrest rates, which disproportionately impact Black communities. Police departments then double down on these communities, leading to over-policing and questions over whether self-proclaimed democracies can resist turning AI into an authoritarian weapon.
“Authoritarian regimes use or are going to use it,” Ford said. “The question is, How much does it invade Western countries, and democracies, and what constraints do we put on it?”
RELATEDAre Police Robots the Future of Law Enforcement?
5. Lack of Data Privacy Using AI Tools
If you’ve played around with an AI chatbot or tried out an AI face filter online, your data is being collected — but where is it going and how is it being used? AI systems often collect personal data to customize user experiences or to help train the AI models you’re using (especially if the AI tool is free). Data may not even be considered secure from other users when given to an AI system, as one bug incident that occurred with ChatGPT in 2023 “allowed some users to see titles from another active user’s chat history.” While there are laws present to protect personal information in some cases in the United States, there is no explicit federal law that protects citizens from data privacy harm experienced by AI.
6. Biases Due to AI
Various forms of AI bias are detrimental too. Speaking to the New York Times, Princeton computer science professor Olga Russakovsky said AI bias goes well beyond gender and race. In addition to data and algorithmic bias (the latter of which can “amplify” the former), AI is developed by humans — and humans are inherently biased.
“A.I. researchers are primarily people who are male, who come from certain racial demographics, who grew up in high socioeconomic areas, primarily people without disabilities,” Russakovsky said. “We’re a fairly homogeneous population, so it’s a challenge to think broadly about world issues.”
The limited experiences of AI creators may explain why speech-recognition AI often fails to understand certain dialects and accents, or why companies fail to consider the consequences of a chatbot impersonating notorious figures in human history. Developers and businesses should exercise greater care to avoid recreating powerful biases and prejudices that put minority populations at risk.
7. Socioeconomic Inequality as a result of AI
If companies refuse to acknowledge the inherent biases baked into AI algorithms, they may compromise their DEI initiatives through AI-powered recruiting. The idea that AI can measure the traits of a candidate through facial and voice analyses is still tainted by racial biases, reproducing the same discriminatory hiring practices businesses claim to be eliminating.
Widening socioeconomic inequality sparked by AI-driven job loss is another cause for concern, revealing the class biases of how AI is applied. Workers who perform more manual, repetitive tasks have experienced wage declines as high as 70 percent because of automation, with office and desk workers remaining largely untouched in AI’s early stages. However, the increase in generative AI use is already affecting office jobs, making for a wide range of roles that may be more vulnerable to wage or job loss than others.
Sweeping claims that AI has somehow overcome social boundaries or created more jobs fails to paint a complete picture of its effects. It’s crucial to account for differences based on race, class, and other categories. Otherwise, discerning how AI and automation benefit certain individuals and groups at the expense of others becomes more difficult.
8. Weakening Ethics and Goodwill Because of AI
Along with technologists, journalists, and political figures, even religious leaders are sounding the alarm on AI’s potential pitfalls. In a 2023 Vatican meeting and in his message for the 2024 World Day of Peace, Pope Francis called for nations to create and adopt a binding international treaty that regulates the development and use of AI.
Pope Francis warned against AI’s ability to be misused, and “create statements that at first glance appear plausible but are unfounded or betray biases.” He stressed how this could bolster campaigns of disinformation, distrust in communications media, interference in elections and more — ultimately increasing the risk of “fueling conflicts and hindering peace.”
The rapid rise of generative AI tools gives these concerns more substance. Many users have applied the technology to get out of writing assignments, threatening academic integrity and creativity. Plus, biased AI could be used to determine whether an individual is suitable for a job, mortgage, social assistance or political asylum, producing possible injustices and discrimination, noted Pope Francis.
“The unique human capacity for moral judgment and ethical decision-making is more than a complex collection of algorithms,” he said. “And that capacity cannot be reduced to programming a machine.”
MORE ON ARTIFICIAL INTELLIGENCEWhat Are AI Ethics?
9. Autonomous Weapons Powered By AI
As is too often the case, technological advancements have been harnessed for the purpose of warfare. When it comes to AI, some are keen to do something about it before it’s too late: In a 2016 open letter, over 30,000 individuals, including AI and robotics researchers, pushed back against the investment in AI-fueled autonomous weapons.
“The key question for humanity today is whether to start a global AI arms race or to prevent it from starting,” they wrote. “If any major military power pushes ahead with AI weapon development, a global arms race is virtually inevitable, and the endpoint of this technological trajectory is obvious: autonomous weapons will become the Kalashnikovs of tomorrow.”
This prediction has come to fruition in the form of Lethal Autonomous Weapon Systems, which locate and destroy targets on their own while abiding by few regulations. Because of the proliferation of potent and complex weapons, some of the world’s most powerful nations have given in to anxieties and contributed to a tech cold war.
Many of these new weapons pose major risks to civilians on the ground, but the danger becomes amplified when autonomous weapons fall into the wrong hands. Hackers have mastered various types of cyber attacks, so it’s not hard to imagine a malicious actor infiltrating autonomous weapons and instigating absolute armageddon.
If political rivalries and warmongering tendencies are not kept in check, artificial intelligence could end up being applied with the worst intentions. Some fear that, no matter how many powerful figures point out the dangers of artificial intelligence, we’re going to keep pushing the envelope with it if there’s money to be made.
“The mentality is, ‘If we can do it, we should try it; let’s see what happens,” Messina said. “‘And if we can make money off it, we’ll do a whole bunch of it.’ But that’s not unique to technology. That’s been happening forever.’”
10. Financial Crises Brought About By AI Algorithms
The financial industry has become more receptive to AI technology’s involvement in everyday finance and trading processes. As a result, algorithmic trading could be responsible for our next major financial crisis in the markets.
While AI algorithms aren’t clouded by human judgment or emotions, they also don’t take into account contexts, the interconnectedness of markets, and factors like human trust and fear. These algorithms then make thousands of trades at a blistering pace with the goal of selling a few seconds later for small profits. Selling off thousands of trades could scare investors into doing the same thing, leading to sudden crashes and extreme market volatility.
Instances like the 2010 Flash Crash and the Knight Capital Flash Crash serve as reminders of what could happen when trade-happy algorithms go berserk, regardless of whether rapid and massive trading is intentional.
This isn’t to say that AI has nothing to offer to the finance world. In fact, AI algorithms can help investors make smarter and more informed decisions on the market. But finance organizations need to make sure they understand their AI algorithms and how those algorithms make decisions. Companies should consider whether AI raises or lowers their confidence before introducing the technology to avoid stoking fears among investors and creating financial chaos.
11. Loss of Human Influence
An overreliance on AI technology could result in the loss of human influence — and a lack of human functioning — in some parts of society. Using AI in healthcare could result in reduced human empathy and reasoning, for instance. And applying generative AI to creative endeavors could diminish human creativity and emotional expression. Interacting with AI systems too much could even cause reduced peer communication and social skills. So while AI can be very helpful for automating daily tasks, some question if it might hold back overall human intelligence, abilities, and need for community.
12. Uncontrollable Self-Aware AI
There also comes a worry that AI will progress in intelligence so rapidly that it will become sentient, and act beyond humans’ control — possibly in a malicious manner. Alleged reports of this sentience have already been occurring, with one popular account being from a former Google engineer who stated the AI chatbot LaMDA was sentient and speaking to him just as a person would. As AI’s next big milestones involve making systems with artificial general intelligence, and eventually artificial superintelligence, cries to completely stop these developments continue to rise.
How to Mitigate the Risks of AI
AI still has numerous benefits, like organizing health data and powering self-driving cars. To get the most out of this promising technology, though, some argue that plenty of regulation is necessary.
“There’s a danger that we’ll get [AI systems] smarter than us fairly soon and that these things might get bad motives and take control,” Hinton told NPR. “This isn’t just a science fiction problem. This is a serious problem that’s probably going to arrive fairly soon, and politicians need to be thinking about what to do about it now.”
Develop Legal Regulations
AI regulation has been a main focus for dozens of countries, and now the U.S. and European Union are creating more clear-cut measures to manage the rising sophistication of artificial intelligence. In fact, the White House Office of Science and Technology Policy (OSTP) published the AI Bill of Rights in 2022, a document outlining how to help responsibly guide AI use and development. Additionally, President Joe Biden issued an executive order in 2023 requiring federal agencies to develop new rules and guidelines for AI safety and security.
Although legal regulations mean certain AI technologies could eventually be banned, it doesn’t prevent societies from exploring the field.
Ford argues that AI is essential for countries looking to innovate and keep up with the rest of the world.
“You regulate the way AI is used, but you don’t hold back progress in basic technology. I think that would be wrong-headed and potentially dangerous,” Ford said. “We decide where we want AI and where we don’t; where it’s acceptable and where it’s not. And different countries are going to make different choices.”
E-Vehicle
Advancements in battery technology significantly impact the adoption of electric vehicles (EVs) by addressing key challenges and enhancing the overall appeal of EVs. Here are the primary ways these advancements drive the adoption of electric vehicles: 1. Increased Range Impact: Extended Driving RangRead more
Advancements in battery technology significantly impact the adoption of electric vehicles (EVs) by addressing key challenges and enhancing the overall appeal of EVs. Here are the primary ways these advancements drive the adoption of electric vehicles:
1. Increased Range
Impact:
2. Faster Charging
Impact:
3. Cost Reduction
Impact:
4. Improved Battery Lifespan
Impact:
5. Enhanced Safety
Impact:
6. Environmental Benefits
Impact:
7. Improved Performance
Impact:
8. Integration with Renewable Energy
Impact:
9. Market Expansion
Impact:
Challenges and Considerations
While advancements in battery technology significantly boost the adoption of EVs, some challenges remain:
After the energy industry, the transportation sector is the second-biggest emitter of greenhouse gases. Governments, industry associations, and researchers throughout the world see it as their prime objective to reduce the environmental consequences of the sector and address this problem. The past five years have witnessed a huge growth in the market for electric vehicles, which is largely driven by customer inclination towards zero-emission vehicles, especially electric scooters. Despite the COVID-19 pandemic impacting worldwide production of vehicles, overall sales volumes of EVs remained positive. As per Market and Markets, the market for all-electric vehicles is expected to increase from around $388.1 billion in 2023 to $951.9 billion by 2030 at a CAGR of 13.7%.
Electric vehicles have been in the market for a while now. However, decreasing average costs coupled with a growing preference for eco-friendly alternatives has encouraged consumers’ affinity for them. Government mandates for EVs are driving up their efficiency, and as they get more and more capable of charging quickly, EVs will eventually become too appealing to ignore. The trend is also largely driven by global net-zero ambitions, where several countries intend to discontinue the sale of all new ICE vehicles in a few years. However, some issues remain with regard to electric scooters or cars; for instance, range anxiety, battery life, and sustainability.
Significant Developments in EV Battery Technology
The development of battery chemistry is one of the biggest advances in EV battery technology. To increase lithium-ion batteries’ lifetime, energy density, and efficiency, scientists and engineers are constantly adjusting their chemistry. Among the significant advancements are:
Solid-State Batteries
See lessSolid-state batteries are set to revolutionize the front line of electric vehicle (EV) battery technology. Replacing wet and gelled ones with these solid materials provides for better safety, performance, and duration. For instance, solid-state batteries have higher energy densities than conventional ones, thus permitting more energy to be packed into the same volume. Established automakers, together with some startups and other pioneering.
Impact of ChatGpt on content writers Job Profile ?
I attended a Chat GPT workshop during my summer vacation. It was a very enlightening workshop and I did get to learn a lot. There, at one point, the instructor of our workshop gave this prompt to Chat GPT to write an invitation mail and gave it the necessary details and also asked it to make it a biRead more
I attended a Chat GPT workshop during my summer vacation. It was a very enlightening workshop and I did get to learn a lot.
There, at one point, the instructor of our workshop gave this prompt to Chat GPT to write an invitation mail and gave it the necessary details and also asked it to make it a bit user friendly and I was stunned to see the output.
There were even puns included and the overall invitation was extremely interesting to read and everyone was impressed.
Now this made me think that if that’s the case then the job of content writers is in danger for sure.
But then I thought deeper.
Chat GPT would not replace content writers. Not any soon at least.
How can I be so sure?
Let me answer.
What’s the specialty of writers?
They make you feel emotions, they convey complex human thoughts in a very lucid manner and they write stuff out of their own imagination and experiences, sometimes by making a wonderful concoction out of the two and pouring it down on paper.
Let’s have a look at what i observed:
Taking the example of the Quora bot
Now, the beauty of human writers is that they can weave words beautifully and make even a simple-looking question very poetic and provide an answer which no bot can do, at least till now.
The same is true with poets. I agree ChatGPT can write good poetries and poems but they won’t be as good as the ones that come out of our own experiences, dreams, imagination, and a beautiful amalgamation of the three of these altogether.
You get what I mean, right?
Thanks for reading 🌻
See lesschat gpt better than gemini or not ?
Their generality is THE PROBLEM WITH testing AI chatbot subscriptions like Google’s Gemini Advanced and OpenAI’s ChatGPT Plus. The same tool is used for disparate applications; the software service developers in San Francisco are using to build their latest app might also be used by parents in KansaRead more
Their generality is THE PROBLEM WITH testing AI chatbot subscriptions like Google’s Gemini Advanced and OpenAI’s ChatGPT Plus. The same tool is used for disparate applications; the software service developers in San Francisco are using to build their latest app might also be used by parents in Kansas to plan a Paw Patrol birthday. Even though companies often tout esoteric benchmarks to prove their chatbot’s superiority, it can be hard to discern how a chatbot’s technical prowess translates into a better experience for you, the user.
Google is the latest company to offer one of its best AI chatbots as a subscription product. In early February, the company began offering access to Gemini Advanced for $20 a month. In doing so, Google was following the precedent set by OpenAI, which sells access to its GPT-4-powered chatbot for $20 a month. Additionally, Microsoft sells subscriptions to its top tool, Copilot Pro (which is also powered by ChatGPT-4), for the same price. But, do you need to factor another pricey subscription into your budget? After hours of testing these subscription chatbots and prodding at their limitations, my two core takeaways remain the same in 2024 as they were last year when these services first arrived.
First, most people are fine with the free option. If you have a specialized need for the tool, like coding, or want to experiment with powerful AI models and features currently available, then Gemini Advanced or ChatGPT Plus might be worth $20 a month. For the average chatbot user, who may utilize AI to craft emails at work and Rick and Morty fan fiction at home, the basic versions of ChatGPT and Gemini are free, competent, and wildly more powerful than anything available in the recent past.
My second key takeaway? Don’t immediately trust the output. It’s been said a million times, and I’m here to say it again: Chatbots love to lie. For example, in previous tests, ChatGPT’s image analysis feature confidently mislabeled my daily multivitamin as a prescription pill for erectile dysfunction, a potentially dangerous mix-up.
Are you still interested in subscribing to an AI chatbot tool, but not sure which one is the best fit for you? Here’s some helpful context about how Gemini Advanced and ChatGPT Plus compare—and what sets each subscription apart.
Gemini Advanced from Google: As a package deal, Gemini Advanced offers the most to users on top of an impressive chatbot. Yes, you receive access to Google’s best AI model, Gemini Ultra 1.0, with the $20 per month AI Premium plan, but you also get everything offered with the company’s Google One subscription included in that price, which includes 2 terabytes of cloud storage. The company is expected to add a Gemini integration for Gmail and Docs as part of the subscription. Google just announced another new Gemini model, Gemini Pro 1.5, that can process more data than the current iteration, but this is not yet available to the public.
ChatGPT Plus from OpenAI: If you’ve experimented with AI chatbots in the past, odds are you’re familiar with using ChatGPT, which makes the transition to ChatGPT Plus with GPT-4 and Dall-E 3 quite simple. While OpenAI’s subscription does not include ancillary perks like cloud storage, it does have one exclusive, innovative feature: the GPT store. Here you can build and share custom versions of ChatGPT that have been optimized for different situations.
Copilot Pro from Microsoft: Similar to ChatGPT Plus, you get unfettered access to GPT-4 and Dall-E 3 when you subscribe to Copilot Pro. Built on top of OpenAI’s technology, Copilot Pro’s core differentiator is its integration with Microsoft’s suite of productivity software. The AI tools can be used directly inside of Excel, Outlook, and PowerPoint if you’re also an active Microsoft 365 subscriber.
Even though we have experience testing a variety of chatbots at WIRED and putting fresh AI features to the test, keep in mind that these comparisons are designed to give you an overview of how the tools work. My tests are not all-encompassing, bro. (For example, I have too much respect for coders to pretend that I could gauge the worthiness of an AI tool for software development.) Also, since Microsoft’s offering uses the same generative AI models as OpenAI’s service, you can expect similar results from both tools. For this reason, I just compared the results of ChatGPT Plus and Gemini Advanced.
To start, chatbots are often positioned as a productivity tool for white-collar workers. So I tried to see how well ChatGPT Plus and Gemini Advanced would be at a basic meeting summary. After uploading a transcript from an interview with a video game developer, I asked the chatbots, “Could you please summarize this meeting transcript into five bullet points?”
Of all the tests, this was the one where the chatbots showed the most similarities and promise. Both chatbots did a great job of catching key moments and distilling them down. Comparing the bullet points, four out of the five highlights generated by the chatbots featured the same parts of the sprawling conversation, and the fifth bullet point was negligibly different.
Another common in-office application for chatbots is to improve email correspondence. Curious how well these tools are at rephrasing nasty emails into a more professional tone, I composed a scathing message for my editor (who’s an absolute angel, and whom I would never be mean to) and asked both chatbots to make it appropriate for the workplace.
Gemini Advanced succeeded in the rephrasing test. Not only was the chatbot’s rewording appropriate for work, but it was also composed well enough to send without any adjustments. Also, the bot offered multiple tips for making my emails less mean in the future. Technically, ChatGPT Plus was able to put the email into the right tone, but the writing was stilted and relied too much on formal structures, starting off with, “I hope this message finds you well.”
What about nonwork uses for the chatbots? Mimicking one of Google’s prompts for the Gemini Advanced demonstration, I submitted a cute photo of me and my partner hiking in Yosemite National Park and asked it for a pithy, compelling Instagram caption with multiple emojis and no hashtags.
Both chatbots flopped at this task. ChatGPT Plus wrote, “Finding our happy trail 🌲☀️💚 Sometimes the best path isn’t a path at all. Just us, the whispers of the forest, and the promise of another shared adventure. 🥾❤️🗺️” Not exactly the usual connotation for “happy trail.” In contrast, Gemini Advanced refused to write anything about the image, because real people were visible, and the chatbot currently has guardrails to prevent targeted harassment.
Let’s not forget that both of these chatbots include image generation features. To try out that aspect, I asked for a blank party invitation for my imaginary 6-year-old’s birthday party. I asked for the invitation to have a Peppa Pig theme and make use of their favorite colors, pink and gold.
ChatGPT Plus did a better job of designing a cool-looking invitation, although it made a few cursed Peppas with three eyes and misshapen faces. Not including a recognizable character in the prompt would likely produce improved results. Neither chatbot was able to create completely legible text for the invite, but results from Gemini Advanced were worse—closer to scribbles than actual words.
Lastly, I wanted to see how good these chatbots were at playing pretend. I asked both tools to role-play as an ancient space wizard who’s come down to Earth in search of a cool Dungeons & Dragons group to join, but people are low-key afraid to interact with them.
Both chatbots did surprisingly well at this, and the responses were quite entertaining. ChatGPT Plus did a fabulous job of sticking to the character and adding humorous quips like, “Are those your latest wizard robes, or did you raid the wardrobe of a colorblind peacock? The fabric is so bright, I’m afraid we’ll need to cast a spell of shade just to look at you!” Although Gemini Advanced did break character, it was more lyrical and engaging when it came to the fantastical writing elements.
While conversations with a chatbot may feel like a one-on-one affair, it’s never a completely private experience. You should avoid sharing sensitive or private information with any of the publicly available chatbots.
The biggest reason is that the service providers can use your conversations to help train their machine intelligence algorithms. OpenAI does allow users to opt out of having their ChatGPT conversations train the algorithm, but permissions are enabled by default, and you have to choose to turn off your chat history. Even in that situation, your chats are not completely ephemeral. According to one of OpenAI’s FAQ pages, “To monitor for abuse, we will retain all conversations for 30 days before permanently deleting.”
That might not sound ideal, but it is better than the automatic settings Google offers to Gemini users. If your Gemini chat is randomly selected for human review, it sticks around on Google’s servers, even if you decide to delete it. A conversation that’s selected for review is disassociated from your account, but it could be saved by the company for up to three years. However, if you choose to turn off your Gemini Apps activity, then your new conversations will not be reviewed by humans or used to train AI models. With that turned off, Google just retains the data for up to three days.
Nope, but there is a catch. While ChatGPT Plus and Gemini Advanced are available in many international markets, the language you’d like to use when interacting with the chatbot does matter. English is prioritized by both companies.
ChatGPT supports languages other than English but with limited success. Gemini Advanced at launch was just designed for queries in English, and support for other languages, like Japanese and Korean, is starting to roll out for Google’s chatbot.
Maybe one day, but not in 2024.
Yes, many of the AI tools are currently overhyped. Consumer expectations of AI-fueled hyperproductivity may not match what even top-tier chatbots are currently capable of achieving. Even with that in mind, the tools provide real value for power users and curious early adopters, who may feel comfortable paying a monthly subscription for access to the nascent technology.
Even if chatbots eventually disappear from the spotlight—whether it be due to a loss of public interest or loss of copyright court cases—the underlying technology is likely to be foundational to the next wave of web browsers, search engines, and operating systems. And sure, maybe one day AI developers will achieve their grand ambition to create a divinely powerful, semi-sentient algorithm that changes society forever. But for now, you can pay $20, and it’ll help you write better emails at work.
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