Monthly Archives: December 2023

31 December 2023
3 Comments
Bez kategorii

DABUS, PATENT LAW AND PERSONHOOD

Reading Time: 4 minutes

THE DABUS EFFECT: AI, INVENTION, AND PATENT LAW DEBATES

In the realm of artificial intelligence , the emergence of DABUS (Device for the Autonomous Bootstrapping of Unified Sentience) marks a significant milestone. Developed by Dr. Stephen Thaler DABUS is an AI system capable of autonomously generating inventions. (Nast, n.d.)

In 2018, Thaler filed patent applications for two inventions claimed to be conceived by DABUS: a food container designed using fractal geometry and a flashing beacon for attracting attention in an emergency. (UK Supreme Court Ruled That AI Cannot Be an Inventor for UK Patents, n.d.)

These applications sparked a global debate on the legal implications of AI inventorship and the question of whether AI systems can be granted patent rights.

DABUS’ INVENTIONS, ACHIEVEMENTS AND ABILITIES

The two inventions claimed by DABUS are groundbreaking in their own right. The food container, constructed using fractal geometry, offers enhanced stacking and grip capabilities for robots, optimizing storage and handling efficiency. (Kavanagh, 2021)

In turn, the flashing beacon, designed to emit pulses of light in an emergency, aims to improve visibility and attract attention in hazardous situations. Both inventions demonstrate DABUS’s ability to generate novel and useful concepts, challenging traditional notions of human inventiveness.

However, apart from those two inventions, DABUS’ other achievements (including ability to detect prostate cancer from urine samples with 95% of accuracy), Dr. Stephen „believes that DABUS has sensory experiences, dreams, and even a stream of consciousness. Above all, Thaler is convinced that DABUS is creative.” (The Inventor Who Fell in Love with His AI, n.d.)

DISCRIMINATION AGAINST MACHINES?

This aspect prompted Thaler to initiate a sequence of legal disputes across the UK, US, Australia, and the EU to challenge copyright regulations restricting inventor recognition solely to humans. Thaler firmly believes it would be unjust for him to claim credit for DABUS’ creative prowess.

“It’s speciesism,”- said Thaler in the interview with the Economist. “Discriminating against machines.” (The Inventor Who Fell in Love with His AI, n.d.)

Fig. 1 (Can an AI Be an Inventor? Not Yet., n.d.)

LEGAL LIMITS: UK’ STAND ON AI INVENTOSHIP

Despite Thaler’s striving to have his AI machine recognised as the inventor of the food container and the flashing light beacon, the UK Intellectual Property Office (IPO) rejected this for the first time in December 2019 stating that only a person could be named as an inventor. (“AI Cannot Patent Inventions, UK Supreme Court Confirms,” 2023)

The decision was then backed by both the High Court and Court of Appeal in 2020 and 2021. The Supreme Court judges dismissed a bid to reverse those decisions, justifying that:

firstly “an inventor must be a person” in order to compete for patents,

and secondly DABUS cannot be named as an inventor to secure patent rights because it is “a machine with no legal personality”– according to Lord Kitchin. (Media, 2023)

This judgment upholds the prevailing stance of the United Kingdom, as per the provisions outlined in the Patents Act of 1977, emphasizing that the eligibility to seek a patent for an invention necessitates human origination.

Thereby, the attempt by the US technologist to contest the Intellectual Property Office concerning concepts generated by the DABUS programme meets with little success. (UK Court Dismisses DABUS – an AI Machine Cannot Be an Inventor, n.d.)

BEYOND BOUNDARIES: CHALLENGING PERSPECTIVES ON AI INVENTOSHIP

Undoubtedly, the deliberations surrounding DABUS, an AI system demonstrating remarkable inventiveness, have propelled the discourse on AI inventorship into the global spotlight. As the quest for recognition of machine creativity and the attribution of patent rights to non-human entities continues, crucial inquiries persist.

Are current legal frameworks equipped to address the evolving landscape of AI-generated inventions?

Should the concept of inventorship expand beyond human boundaries, acknowledging the creative capacity of AI systems?

These questions resonate far beyond the courtroom, challenging our fundamental perceptions of innovation, identity, and the intersection of technology with legal and ethical paradigms.

Written by Nina Tyśkiewicz

PROMPTS USED IN CHATPGT 3.5

„Explain the importance of the patents of new inventions on the case of DABUS AI.”

„Introduce the concept of DABUS AI and its significance in the realm of inventiveness.”   

„Discuss the UK Supreme Court’s recent decision on AI inventorship rights for patents.”

„Summarize the UK Supreme Court’s ruling on AI inventorship rights. Highlight the reasoning behind the decision, considering the fundamental principles of patent law.”

„Please come up with a few headings suitable for the following paragraph:…”

REFERENCES

AI cannot patent inventions, UK Supreme Court confirms. (2023, December 20). Www.bbc.com. https://www.bbc.com/news/technology-67772177

Can an AI be an inventor? Not yet. (n.d.). MIT Technology Review. https://www.technologyreview.com/2020/01/08/102298/ai-inventor-patent-dabus-intellectual-property-uk-european-patent-office-law/

Kavanagh, C. (2021, September 22). DABUS | First AI Inventor Granted Patent. Minesoft. https://minesoft.com/dabus-accepted-as-first-ai-inventor/#:~:text=DABUS

Media, P. A. (2023, December 20). AI cannot be named as patent “inventor”, UK supreme court rules. The Guardian. https://www.theguardian.com/technology/2023/dec/20/ai-cannot-be-named-as-patent-inventor-uk-supreme-court-rules

Nast, C. (n.d.). The Inventor Behind a Rush of AI Copyright Suits Is Trying to Show His Bot Is Sentient. Wired UK. Retrieved December 31, 2023, from https://www.wired.co.uk/article/stephen-thaler-ai-copyright-suits-is-trying-to-show-his-bot-is-sentient#:~:text=

The inventor who fell in love with his AI. (n.d.). The Economist. https://www.economist.com/1843/2023/04/04/the-inventor-who-fell-in-love-with-his-ai

UK court dismisses DABUS – an AI machine cannot be an inventor. (n.d.). Www.penningtonslaw.com. https://www.penningtonslaw.com/news-publications/latest-news/2021/uk-court-dismisses-dabus-an-ai-machine-cannot-be-an-inventor

UK Supreme Court ruled that AI cannot be an inventor for UK patents. (n.d.). Clifford Chance. Retrieved December 31, 2023, from https://www.cliffordchance.com/insights/resources/blogs/talking-tech/en/articles/2023/12/uk-supreme-court-ruled-that-ai-cannot-be-an-inventor-for-uk-pate.html#:~:text=What%20is%20the%20case%20about

31 December 2023
6 Comments
AI

How AI is transforming space exploration and astronomy

Reading Time: 4 minutes

Introduction

Space exploration and astronomy are two fields that have always fascinated humans. The vastness and complexity of the universe pose many challenges and opportunities for scientific discovery and technological innovation. However, the amount of data and information that these fields generate is often overwhelming and difficult to process. This is where artificial intelligence (AI) comes in handy. AI is the branch of computer science that deals with creating machines or systems that can perform tasks that normally require human intelligence, such as learning, reasoning, decision making, and problem solving. AI has many applications and benefits for space exploration and astronomy, such as:

Enhancing spacecraft autonomy and reliability

Spacecraft are often exposed to harsh and unpredictable environments, where human intervention is not always possible or desirable. AI can help spacecraft to operate autonomously and reliably, by enabling them to adapt to changing conditions, diagnose and repair faults, plan and execute missions, and communicate with other spacecraft and ground stations. For example, the European Space Agency (ESA) is developing an AI system called PROBA-3, which will allow two satellites to fly in formation and create an artificial solar eclipse, to study the sun’s corona. Another example is NASA’s Perseverance rover, which landed on Mars in 2021 and uses AI to navigate the terrain, select rocks for sampling, and avoid hazards.

Accelerating data analysis and discovery

Space exploration and astronomy generate huge amounts of data, from images and signals to measurements and simulations. AI can help to analyze and interpret this data faster and more accurately, by applying techniques such as machine learning, computer vision, natural language processing, and deep learning. For instance, the Square Kilometre Array (SKA), which will be the world’s largest radio telescope, will produce more data than the entire internet every day. AI will be essential to process and extract meaningful information from this data, and to discover new phenomena and patterns. Similarly, the Large Synoptic Survey Telescope (LSST), which will survey the entire visible sky every few nights, will use AI to identify and classify objects, such as asteroids, supernovae, and galaxies.

Advancing scientific knowledge and innovation

Space exploration and astronomy are not only about collecting and analyzing data, but also about generating and testing hypotheses, creating and validating models, and developing and evaluating solutions. AI can assist and augment human scientists and engineers in these tasks, by providing insights, suggestions, feedback, and explanations. For example, the Event Horizon Telescope (EHT), which captured the first image of a black hole in 2019, used AI to reconstruct the image from noisy and incomplete data, and to verify its consistency with the theory of general relativity. Another example is the NASA Frontier Development Lab (FDL), which is a research accelerator that brings together experts from different disciplines and domains, and uses AI to tackle challenges such as asteroid detection, lunar mapping, space weather, and exoplanet characterization.

My opinion

In my opinion, AI is a powerful and promising tool for space exploration and astronomy, as it can enhance the capabilities and performance of both machines and humans, and enable new possibilities and opportunities for exploration and discovery. However, AI also poses some challenges and risks, such as ethical, legal, social, and security issues, that need to be addressed and regulated. Therefore, I think that AI should be used responsibly and transparently, and in collaboration and harmony with human values and goals. I believe that AI can help us to better understand and appreciate the universe, and our place and role in it.

Conclusion

To conclude, AI is a game-changer for space exploration and astronomy, as it can help us to overcome the limitations and challenges of these fields, and to achieve new levels of understanding and innovation. AI can also inspire us to ask new questions and pursue new goals, and to appreciate the beauty and wonder of the universe. However, AI also requires careful and responsible use, and respect for human values and interests. AI is not a replacement for human intelligence, but a complement and a partner. Together, we can explore the unknown and discover the unimaginable.

Links:

  1. https://www.wiley.com/edge/media/artificial-intelligence-for-space-exploration/
  2. https://www.esa.int/Enabling_Support/Preparing_for_the_Future/Discovery_and_Preparation/Artificial_intelligence_in_space
  3. https://www.astronomy.com/science/how-artificial-intelligence-is-changing-astronomy/
  4. https://www.forbes.com/sites/bernardmarr/2023/04/10/artificial-intelligence-in-space-the-amazing-ways-machine-learning-is-helping-to-unravel-the-mysteries-of-the-universe/
  5. https://www.space.com/astronomy-research-ai-future
  6. https://miro.medium.com/v2/resize:fit:900/1*Jt26SJH7U9uIoC6XoZ4cqg.jpeg

AI engine:
Microsoft Bing

Prompts:

  1. Write a catchy title for the blog post that summarizes the main topic and attracts the readers’ attention.
  2. Write an introduction that explains what AI is, why it is relevant for space exploration and astronomy, and what the main objectives and benefits of using AI in these fields are.
  3. Write a paragraph that describes how AI can enhance spacecraft autonomy and reliability, and give some examples of current or future missions that use AI for this purpose.
  4. Write a paragraph that describes how AI can accelerate data analysis and discovery, and give some examples of current or future projects that use AI for this purpose.
  5. Write a paragraph that describes how AI can advance scientific knowledge and innovation, and give some examples of current or future initiatives that use AI for this purpose.
  6. Write a paragraph that expresses your own opinion on the role of AI in space exploration and astronomy, and mention some of the challenges and risks that AI poses, as well as some of the ethical and social implications that AI has.
  7. Write a conclusion that summarizes the main points of the blog post, and highlights the potential and promise of AI for space exploration and astronomy.

Tagged
31 December 2023
3 Comments
Bez kategorii

WHY CROWDFUNDING CAMPAIGNS FAIL

Reading Time: 3 minutes

When starting your business or passion project, you may look to crowdfunding for that extra bit of start-up capital to make your goals into realities. Crowdfunding can be a great way to raise money for your business or project, but it’s important to be realistic about your chances of success. According to Kickstarter, only about 65% of campaigns on the platform deliver their product on time. The relatively low success rate is due to a myriad of factors which include but are not limited to the ones given below.

The first one worth discussing is when campaigns set an unrealistic funding goal. It’s important to do your research and set a funding goal that is achievable and realistic for your campaign. If you set your goal too high, you’re likely to fall short and disappoint your backers. If you set your goal to low, then you will be unable to complete your project without asking for more money from your backers or elsewhere.

The next one is not having a clear and compelling value proposition. What makes your product or service unique and worth supporting? This is an important factor in any business offering a service or product. You need to be able to clearly articulate your value proposition to potential backers. With much competition in the marketplace, your product must stand out from the rest to receive backers hard earned money. You are looking for funding from a very large pool of people, which means your value proposition has to appeal to a large group of people. This factor may be the most difficult one to get right, but also proves the most essential as communication is key when it comes to crowdfunding.

Keeping in line with the communication factor, another reason campaigns fails is by failing to build a community around your campaign. Crowdfunding is all about building a community of people who are excited about your project. You need to reach out to potential backers and get them engaged with your campaign. Even when the goal is reached, there needs to be constant engagement after the backer has given their money. An urge to “take the money and run” may arise, though it is essential you act ethically and transparently to build trust with your backers. It is also important to keep backers informed of your progress throughout the campaign. Regular updates will help to build trust and excitement for your project.

The final element to avoid is not delivering on your promises. If you don’t deliver on the promises you made to your backers, you’ll damage your reputation and make it difficult to raise money for future projects. If you are lucky enough to achieve your funding goals, you then must reciprocate the good will and deliver for your backers.

In crowdfunding there are many campaigns that do not reach their goals and therefore do not deliver a product. If you were to go on Kickstarter or GoFundMe, you would find a graveyard of poor ideas destined to fail due to any combination of the aforementioned examples. However, an interesting example of a successful campaign that ended in a failure is the Zano Drone. The Zano Drone was a mini drone that could be controlled by a smartphone. The campaign raised over three-million-dollars on Kickstarter, but the company went bankrupt before delivering the product to backers.

Works Referenced:

www.trendscoutuk.com/blog/why-crowdfunding-campaigns-fail-and-how-to-avoid-them/

www.kickstarter.com/help/handbook/fulfillment

firmbee.com/crowdfunding-failures

www.floship.com/blog/_why-crowdfunding-campaigns-fail/

www.rainfactory.com/blog/4-ways-crowdfunding-campaigns-could-fail/

www.kickstarter.com/projects/torquing/zano-autonomous-intelligent-swarming-nano-drone?result=project. Accessed 17 Dec. 2023

Engine used: Copilot

31 December 2023
3 Comments
AI

AI in Finance

Reading Time: 4 minutes

The finance world is evolving rapidly, driven by technological advancements, notably Artificial Intelligence (AI). AI, using algorithms and data analysis, revolutionizes financial tasks, from predicting market trends to automating processes. In this blog post, we’ll explore AI’s impact on finance and its potential for unprecedented business growth.

 First and foremost, it is crucial to understand what AI is and its role in finance. In simple terms, AI involves the use of machines to perform tasks that would normally require human intelligence. With the help of algorithms and data analysis, AI can analyze vast amounts of financial data at lightning speed, providing valuable insights and predictions. This technology has gained immense popularity in recent years due to its ability to improve efficiency and accuracy in various industries.

So how exactly is AI changing the game in finance? Let’s start with risk management. In today’s unpredictable market, managing risks has become a top priority for businesses. AI-based risk management systems can scan through vast amounts of data in real-time, identify potential threats, and alert businesses before they turn into major crises. This not only saves time and resources but also minimizes financial losses.

 Moreover, AI has made significant contributions to portfolio management as well. With its ability to analyze large datasets from multiple sources, AI can predict market trends and suggest optimized investment strategies. This has proven to be a game-changer for business owners who are looking to diversify their portfolios and maximize returns.

 Another area where AI has transformed finance is customer service. By leveraging chatbots powered by natural language processing (NLP), businesses can provide 24/7 customer support without any human intervention. These bots can handle basic queries, process loan applications, and even recommend personalized financial solutions based on customer’s spending patterns – enhancing the overall customer experience.

Furthermore, one cannot ignore the impact of AI on fraud detection and prevention in finance. With the rise of online transactions, fraudsters have found new ways to exploit businesses’ financial systems. However, with advanced machine learning techniques like anomaly detection and pattern recognition, AI can quickly spot unusual activities or suspicious transactions – preventing potential frauds before they occur.

  It goes without saying that these advancements have significantly reduced the burden on finance professionals by automating routine tasks like data entry, report generation, and reconciliation. This has not only improved accuracy but also allowed these professionals to focus on more strategic and analytical tasks, ultimately contributing to business growth.

 However, there are still some concerns about the widespread adoption of AI in finance. The most significant one being job displacement. As AI takes over mundane jobs, it is essential for businesses to invest in upskilling their employees to adapt to this technological shift. This will not only ensure job security but also lead to a more skilled and efficient workforce.

 In conclusion, it is safe to say that AI has unleashed its power in the world of finance – transforming the way businesses handle their finances and paving the way for unprecedented growth opportunities. As we continue to witness new developments and advancements in this field, it is imperative for businesses to embrace AI and leverage its potential for sustainable growth.

And some examples that weren’t mentioned))

Lending

 AI in lending, utilizes machine learning and pattern recognition to assess creditworthiness beyond traditional methods. Platforms like Upstart and C3.ai streamline credit origination, reduce risks, and promise efficiency gains, such as a 30% reduction in loan approval time and a $100 million increase in application volume for C3 AI.

Investing

 Robinhood (NYSE:HOOD) is probably the best example of AI using investing platforms among financial stocks. The popular trading app has used AI to differentiate itself from competitors and recommend investment opportunities based on things like risk tolerance and investing style and history. Its AI tools help personalize the user experience.

 A new app called Magnifi takes AI another step further, using ChatGPT and other programs to give personalized investment advice, similar to the way ChatGPT can be used as a copilot for coding.

Insurance

 Lemonade (an AI-based insurance company) uses AI for customer service with chatbots that interface with customers to offer quotes and process claims. Those algorithms can process claims at lightning speed. In 2016, it set a record when AI-Jim, its AI claims processing agent, paid a theft claim in just three seconds. The company says it settles close to half of its claims today using AI technology.

And the last one to wrap the things up)

                        List of  AI that are used in business field 🙂

Resources

https://www.fool.com/investing/stock-market/market-sectors/information-technology/ai-stocks/ai-in-finance/

https://app.regie.ai/ (AI in Finance)

https://www.technossus.com/five-use-cases-for-ai-in-the-financial-services-sector/

https://www.forbesindia.com/blog/technology/how-ai-is-transforming-the-world-of-finance/

https://medium.com/lightspeed-venture-partners/fintech-x-ai-the-lightspeed-view-b515fae5bfb6

https://m2pfintech.com/ (How is AI Changing the Financial Industry? Top 6 Use Cases in Fintech and Banking)

30 December 2023
2 Comments
AI, Bez kategorii

Mitigating the Risks of Artificial Intelligence in the Creation of Misleading and Harmful Content

Reading Time: 3 minutes

With the development of artificial intelligence, tools have emerged that are dangerous for everyone by spreading misinformation and false materials. They can destroy our reputation and the mental health of many people. Therefore, we should be aware of them and know how to fight them. Despite the many positive aspects that artificial intelligence brings, today I will describe one aspect from the negative side and how we can avoid it.

A huge threat of artificial intelligence is the creation of pornographic materials. Although such applications themselves are not illegal, it depends on how they are used. In Poland, it is a crime to violate personal rights, i.e., when a user uses the generated materials without the consent and agreement of the person depicted in these materials. The problem is very serious and affects both adults and minors.

Generating fictional photos or videos is not a challenge today. Anyone with internet access can use such a service, which on most platforms is free and is done within seconds. This creates a particular danger for minors. There have already been cases in Spanish schools where classmates shared photos of their classmates through social media. It is important to remember the serious psychological consequences this can have for the victim, as well as legal consequences. The creation of pedophilic content has never been as easy as it is today. Such crimes should be quickly detected and severely punished. Especially at this age, the psychological damage can be very dangerous and leave a mark for life.

Although for adults, such crimes can also be very dangerous. One example is blackmail. My acquaintance met someone through an online platform, with whom he maintained internet contact, and until the moment he was to send his photo to show what he looks like, everything looked like the beginning of an acquaintance between two people. Unfortunately, as soon as he sent his normal photos, the other person turned out to be a fraudster who altered his photos into pornographic ones and demanded money with the threat of sharing these photos with his acquaintances. The problem was that he had colleagues among his acquaintances, and such false accusations could have destroyed his professional reputation. Unfortunately, many people are not aware of such tools, and his explanations would not be credible, and he was aware of this, so he sent money to the scammer, who did not stop at one attempt to extort money. Until he blocked this person, he made several transfers and still lived in fear that his reputation would be destroyed. In his case, he only lost money and it did not end with worse consequences. Law enforcement could not help him either, as they could not find the perpetrator of the crime.

When it comes to public figures or those performing important functions in our society, the consequences of such actions can be immense.

There have already been cases where porn stars have been generated by artificial intelligence, and such materials have been sold on various platforms such as Reddit. Due to such actions, verification with an ID card was introduced, but the question is that with the development of technology, it will be possible to cheat verification methods as we have in the banking sector. In this case, it was a character generated by artificial intelligence, but we must also remember about stalkers who could use publicly available photos of people and reap benefits without the knowledge of these people. Verification safeguards are an obstacle for such people, but we must also remember that it is not a barrier that cannot be broken.

In my opinion, the operation of such applications should not be allowed, but we must also remember about the constitutional rights of human freedom. The fight against such tools is and will be very difficult, which is why we should already develop laws and methods to fight this. Certainly, educating people will help increase awareness of this issue and make people realize that not everything seen on the internet can be believed. On the other hand, all materials generated by artificial intelligence have common features, so other artificial intelligence tools can be used to verify the authenticity of shared materials. Additionally, the European Commission should implement regulations ensuring user safety by monitoring such sites, where mandatory verification and the possibility of editing only their own photos are required.

Unfortunately, there are no perfect things and thanks to the development of artificial intelligence, which has many positive sides, we must also be aware of these negative aspects, but if we prepare in advance, we can mitigate the negatives.

https://cyfrowa.rp.pl/technologie/art38354941-sztuczna-inteligencja-stworzyla-gwiazde-porno-internauci-wierzyli-i-placili

https://www.forbes.pl/life/pornografia-tworzona-przez-ai-gdyby-te-zdjecia-byly-prawdziwe-bylyby-dziecieca/krllqm3

https://antyweb.pl/ai-zmieni-branze-porno-modelki-stana-sie-zbedne

https://oiot.pl/pornografia-deepfake-sztuczna-inteligencja-algorytmy-ai/

https://www.euractiv.pl/section/praca-i-polityka-spoleczna/news/pornografia-tworzona-przy-pomocy-ai-co-za-to-grozi/

Pornografia tworzona przy pomocy AI. Co za to grozi?
Porno stworzone przez AI stanie się standardem
Tagged , ,
30 December 2023
2 Comments
Bez kategorii

Xiaomi’s Entry into the Electric Vehicle Market

Reading Time: 2 minutes

Xiaomi recently introduced its first electric vehicle, the SU7. This has generated significant attention and discussion in the technology and automotive industries. Xiaomi aims to compete with industry leaders like Tesla and establish a distinctive position in the growing EV market. The company aspires to become ‘China’s Porsche or Tesla,’ which requires careful consideration.

The SU7 has impressive specifications. It can accelerate from 0 to 100 km/h in just 2.78 seconds and has a range of up to 800 km. However, it is important to consider whether these figures are practical for everyday use and whether they target a specific market. Xiaomi also needs to address the challenges in charging infrastructure, which is a common obstacle to widespread electric vehicle adoption.

Obviously, comparisons between Xiaomi’s SU7 and Tesla’s electric vehicles are inevitable, given Tesla’s dominant market position. However, repeating Tesla’s success does not guarantee similar success for Xiaomi. It is crucial to explore Xiaomi’s unique value propositions, whether in design, technology integration, or pricing strategies. Their success in the technology sector comes from its ecosystem approach, which offers a diverse range of interconnected devices.

Tesla faced numerous challenges entering different markets due to regulatory differences. How does Xiaomi plan to overcome these challenges, especially given its strong presence in markets such as India and Europe?

Beyond specifications and ambitions, the success of Xiaomi’s electric car depends on consumer acceptance. How are potential buyers responding to the SU7 and what factors are influencing their decision? Furthermore, how does this move affect Xiaomi’s brand perception? Does it strengthen the brand as an innovative technology company?

In conclusion, Xiaomi’s entry into the electric vehicle market is undoubtedly bold. However, a thorough analysis is necessary to assess the long-term potential of the SU7. The analysis should cover market dynamics, competitive forces, and consumer preferences, explaining the strategic interplay between technology and the automotive industry.

Sources:

  • https://indianexpress.com/article/technology/tech-news-technology/tech-news-today-29-december-2023-xiaomi-su7-ev-apple-watch-ban-faamng-9087377/
  • https://www.businesstimes.com.sg/companies-markets/xiaomi-launches-its-first-ev-ambition-be-chinas-porsche-or-tesla?amp
  • https://www.businesstoday.in/technology/news/story/xiaomi-unveils-its-first-electric-car-which-can-go-0-100-kmph-in-278-seconds-and-has-a-range-of-up-to-800-km-411242-2023-12-29
  • https://www.news18.com/auto/xiaomi-unveils-first-electric-car-su7-all-you-need-to-know-8721531.html
  • https://www.businessinsider.com/phonemaker-xiaomi-unveils-first-ev-taking-on-tesla-2023-12?IR=T
  • https://timelinedaily.com/auto/xiaomi-introduces-su7-its-first-electric-car
  • https://www.thedailystar.net/tech-startup/news/xiaomi-launches-its-first-electric-car-the-su7-3505836
30 December 2023
1 Comment
Bez kategorii

Necrobotics: The Fascinating Field of Using Dead Organisms for Robotics

Reading Time: 2 minutes

An exciting new field called necrobotics investigates the possibility of using dead organisms, or biotic materials, as robotic components. The term itself brings up images of both mystery and fear. Even though the idea might seem absurd, it has the potential to produce creative and long-lasting solutions for a range of uses, including archaeology and healthcare.

Harnessing Nature’s Ingenuity

Many organisms have amazing mechanisms that allow them to carry out difficult tasks that nature provided them with. These natural designs, which range from the complex hydraulic systems of spiders to the complex joint structures of insects, provide important insights for the creation of more effective and versatile robots. By integrating biotic materials into robotic systems, necrobotics seeks to capitalize on this natural inventiveness.

Spiders: A Case Study in Necrobotics

Research on spiders has shown great promise for the field of necrobotics. Their hydraulic systems, which consist of valves that can be controlled and chambers filled with fluid, enable them to produce precise movements with amazing strength and dexterity. Using the legs of dead spiders, a Rice University research team successfully created a robotic gripper in 2022. This necrobotic gripper showed remarkable grasping abilities; it could lift weights up to 130% of its own mass and handle small objects.

Beyond Spiders: A Wider Realm of Biotic Materials

Necrobotics is not just about spiders; it includes a wider range of biotic materials, such as insect wings, fish scales, and bird feathers. Every material has special qualities that can be used for certain purposes. For example, insect wings could be used for movement and propulsion, and bird feathers could be used for lightweight, flexible structures.

Potential Applications of Necrobotics

Necrorobotics has a wide range of possible uses in different industries. Necrorobotics has the potential to revolutionize the medical field by creating minimally invasive surgical instruments, precise drug delivery microrobots, and prosthetic limbs that emulate human muscle movement.
Necrorobotics may be used in archaeology to help with the careful excavation of delicate artifacts, enabling archaeologists to handle and preserve priceless historical treasures with little harm. Necrorobotics could be used in environmental remediation to create robots that can clean up and navigate through contaminated areas, thereby eliminating dangerous materials from the environment.

Ethical Considerations and Sustainability

Despite the enormous potential of necrobotics, ethical issues must be addressed and sustainable methods must be followed. Careful regulation of the source of biotic materials used in robotics is necessary to reduce the negative effects on natural ecosystems. To further minimize waste and the environmental impact of necrobotic components, efforts should be made to maximize their longevity and reusability.

Conclusion: A Glimpse into the Future of Robotics

Necrobotics is a new paradigm in robotics that offers a fresh way to create intelligent, effective, and sustainable machines. Necrorobotics holds the potential to transform numerous industries and influence the direction of technology by utilizing the inventiveness of nature. To ensure a responsible and sustainable future for necrobotics, it is crucial to carefully balance scientific innovation with ethical considerations and environmental stewardship as this field continues to evolve.

Sources:

Tagged , ,
30 December 2023
1 Comment
Bez kategorii

The Future of Politics is in AI

Reading Time: 2 minutes

The fast advancements in artificial intelligence (AI) are going to change and improve many aspects of our lives, including the way people see and exist in democracy. While there are some concerns about the possible negative impacts of AI on democracy are valid, there is also a great potential for AI to redefine democratic processes and motivate civic participation.

One of the most important ways in which AI can influence democracy is through the development of generative AI, which may be able to create new forms of civic engagement and participation. A good example for this can be an AI that could be used to create interactive simulations and virtual environments that let people not only see but also experience the consequences of different policy choices firsthand. This could help increase public awareness of complex issues and encourage more research on given topic.

Another possibility of AI in democracy is the development of AI-powered citizen assemblies, which would allow for more direct input from citizens in the legislative process. AI could be used to identify and recruit a representative sample of citizens from the population, and then use algorithms to facilitate deliberation and consensus-building among the group.

In addition to these direct applications, AI can also play a role in improving the quality of information that is available to citizens. Then, AI can be used to identify and filter out misinformation, and guarantee people’s access to high-quality, verified information from trustworthy sources.

However there are always potential risks associated with the use of AI, including in democracy. For example, AI could be used to manipulate public opinion or to spread disinformation. It is important first and foremost to develop safeguards and regulations that will protect society against these risks.

In conclusion, the potential for AI to enhance democracy is more than likely. By correctly using the potential of AI, we can create better and more informed democracies, that people will be more willing to engage in. But, it is important to proceed with caution and to develop safeguards to protect against potential misuse.

https://www.technologyreview.com/2023/07/28/1076756/six-ways-that-ai-could-change-politics/

https://www.theguardian.com/commentisfree/2023/jul/28/artificial-intelligence-powering-politics-reboot-democracy

30 December 2023
4 Comments
Bez kategorii

Impact of technology on climate change mitigation

Reading Time: 3 minutes
Climate Change: The Technologies That Could Make All the Difference - WSJ

Climate change has been a tremendous problem since its scientific assessments began in the 1970s. Within the last two decades, technology has been advancing in many ways and the one way that I will talk about today is a way that mitigates climate change.

Electric vehicles are one of the most known technological inventions to save the environment. According to European Environmental Beuro electric cars in Europe emit on average 75g of CO2e/KM over their entire life cycle, which is approximately 69 % less greenhouse gases than comparable petrol-driven vehicles. This sounds great, however, the utilization of an electric battery from vehicles is not environmentally friendly at all. About which no one talks about.

Green building technologies are something that very few people know about but they contribute a lot to lower energy consumption and reduce emissions in the construction and operation of buildings. One kind of green building technology is zero-energy buildings, which as the name suggests, emit no CO2 at all thanks to solar panels and wind energy generators. Sounds ideal, doesn’t it? There is one problem with it: you have to rely on renewable energy all year long and there is no guarantee that the energy will fulfil the house owner’s needs. This technology also includes electrochromic glass. Electrochromic glass uses a tiny gust of electricity to charge ions on a window layer and alter the light it reflects. This means, that during hot and sunny days the windows tint to some degree and while it’s cold and cloudy they let more temperature in this way house owners reduce their ventilation heating and air conditioning costs by up to 25%.

Carbon capture and storage (CCS) is a process that separates pure streams of carbon dioxide from industrial, next treated and then transported via road transport, pipelines or ships to special storages that are located either in deep geological formations or in the form of mineral carbonates. The question that you might ask regarding storing all this CO2 is what about the capacity of the mentioned storage? With the current CO2 production rates it would take 900 years to fill them fully, which gives us plenty of time to find a better way to deal with this problem. It is also estimated, that the current CCS aim for 90% capture efficiency. I’m a bit sceptical about these numbers because several projects to this day fail to meet this goal. All of this sounds utopian, however, there are a few drawbacks. Firstly it is high costs and energy intensity, which have to be optimised for the CCS to stay with us. Next, there are environmental risks that come from storing CO2 for longer periods. Lastly there scale of the process is limited, but I’m sure, that if we were to focus more on CCS it would quickly become much more efficient, affordable and safer.

All of the aforementioned ways to mitigate climate change, already have a tremendous impact on our climate, however, there is still plenty of space for improvement. Within the last two decades, there has been an unimaginable technological leap, which unfortunately came along with greater CO2 emissions and many other not-climate-friendly consequences, however, if we were to focus on the right innovations and current matching upgrades the world will not only be a more suitable place for us, but also a safe place for our and future generations.

Sources:

https://www.intellis.io/blog/what-is-green-building-technology-plus-the-top-5-technologies-transforming-facility-management-right-now

https://eeb.org/wp-content/uploads/2023/02/230201_Factsheet_Environmental_Impact_electric_cars_FINAL.pdf

https://www.un.org/en/climatechange/what-is-renewable-energy

https://www.nationalgrid.com/stories/energy-explained/what-is-ccs-how-does-it-work

https://blog.verde.ag/en/carbon-capture-and-storage-pros-cons/

https://en.wikipedia.org/wiki/Carbon_capture_and_storage

28 December 2023
Leave a comment
Bez kategorii

The Environmental Toll of AI

Reading Time: 3 minutes

AI's Thirst for Power May Be Draining Water Supplies - Decrypt

Ever Wonder How Much Energy and Water are Consumed from AI Usage?

Well, a hidden but important worry in the fast-moving field of artificial intelligence (AI), where creativity has no boundaries, is energy consumption. Ever consider the environmental cost of AI’s unrelenting advancement? As AI develops, there is no denying the energy imprint it leaves behind, which begs ecological concerns. We explore how AI affects our resources in this blog.

Prediction of Future Energy Consumption

According to De Vries’ estimations, the projected manufacturing of AI servers could result in an annual increase in global electricity consumption connected to AI of 85 to 134 TWh by 2027. This would be like what nations like the Netherlands, Argentina, and Sweden would require each year in electricity. The increasing energy consumption of artificial intelligence (AI) raises important questions regarding sustainability and forces a closer look at the environmental effects of this rapidly developing industry.

Why Does AI Use so Much Energy? 

The enormous volume of data that AI models are trained on, their complexity, and the sheer number of queries that users make of them are the main causes of their excessive energy consumption. Training an AI model can take a few minutes to several months, depending on the model’s complexity and volume of data, according to Lyline Lim, Head of Impact and Sustainability at PhotoRoom, a top AI photo editor.

Factors of Energy Consumption

  • Data-Intensive Training: Data training takes up extensive amount of computation power. This drives up energy consumption significantly.
  • Algorithmic Complexity: The more complex and advanced the algorithms is, the higher the energy consumption. 
  • Hardware Efficiency: The rate of complexity of AI models outpaces the improvement in hardware efficiency. Ultimately, the overall energy usage still increases despite a more efficient hardware.

Examples of Some Industries Influencing Consumption

  • Autonomous systems: (E.g. robotics/ drones) Rely significantly on artificial intelligence (AI) to make decisions, which requires a lot of processing power.
  • Medical Application: AI is using more energy as its use in medical imaging and diagnostic technologies expands.
  • Cybersecurity: AI-powered fraud detection and risk analysis solutions in a variety of industries greatly increase energy usage.
  • Marketing: Popularity of recommendation systems and personalized advertising driven by AI

A diagram of a plant Description automatically generated

Water Usage

AI processing servers pose a twin environmental problem because to their high energy requirements and large water usage for cooling systems. The need for AI globally might account for up to 6.6 billion cubic meters of water consumption in 2027. That is more than half of the United Kingdom’s annual water withdrawal total.

What are some mitigating solutions?

Creating more energy-efficient hardware, streamlining data, putting money into green data centers, embracing responsible AI use, and creating precise guidelines for tracking and disclosing AI’s energy footprint to lessen the technology’s negative environmental effects. This will stimulate innovation in energy-efficient AI systems and help to advance accountability.

Conclusion

This blog discusses the effects of using AI while also pointing out the major advantages it has for customers. Even while they might not have direct control over change, customers still have a voice and can put pressure on businesses. Customers can play a crucial role in guiding the industry towards a more ethical path by pushing for greater transparency and pressuring businesses to invest in more sustainable AI methods that take the responsible use of natural resources into consideration.

AI: You.com

Prompt: Energy and water consumption from AI usage

https://www.bbc.com/news/technology-67053139
https://www.euronews.com/next/2023/10/10/demand-for-ai-could-mean-technology-consumes-same-energy-as-a-country-analysis-shows
https://www.forbes.com/sites/sap/2023/12/20/why-does-ai-consume-so-much-energy/#
https://www.scientificamerican.com/article/the-ai-boom-could-use-a-shocking-amount-of-electricity/
https://oecd.ai/en/wonk/how-much-water-does-ai-consume
← Older posts