So how is AI amplifying human intelligence?
As artificial intelligence continues its rapid expansion, many people are beginning to explore the amazing possibilities of AI-powered ChatGPT systems.
However, even though it has already produced some notable results – it is not perfect, which is in part due to its generic nature. Looking ahead towards our technological future, experts predict considerable refinement and practical applications for more specialised versions of these AI solutions.
To find out how we humans could benefit from improved collaboration with powerful machines, see this week’s feature article.
The Role of Curiosity in Learning
Curiosity is a fundamental aspect of human nature that plays a critical role in learning and development.
Curiosity is an innate human characteristic that is often cited as a catalyst for learning. It has been described as a desire to explore, investigate and seek new information, knowledge or experiences. Curiosity is often thought of as an intrinsic motivator and is seen as a key driver of intellectual development, problem-solving and innovation. This essay will examine the role of curiosity in learning, its impact on academic success, and the ways in which it can be nurtured and developed.
The Importance of Curiosity in Learning
Curiosity is often seen as a key factor in promoting learning and academic success. Research has shown that curiosity is associated with higher levels of academic achievement, as well as greater engagement, persistence, and motivation to learn. Curiosity is thought to be particularly important in the early stages of learning when students are developing their foundational knowledge and skills.
Insurers’ Digital Claims Tools Failing Customers
This is a worrying sign for the industry, as digital tools are apparently not meeting customer needs.
Calling the trend “worrying,” J.D. Power’s new property claims satisfaction report indicated that insurers’ digital tools to speed the claims process are not pleasing homeowners insurance customers, especially for longer-tail claims tied to catastrophes.
According to the J.D. Power 2023 U.S. Property Claims Satisfaction Study, the property claims process following a catastrophe—which has become longer due to supply chain delays and rising costs—has strained customer satisfaction, and the very tools insurers have put in place to reduce claims costs and increase efficiency seem to have made matters worse. The average time from reporting a claim to finished repairs is now 22 days—four days longer than a year ago and a week longer than 2021.
Green Machine Learning
The essence of Green AI resides on the efficiency of a several of evaluation criteria namely; economic, environmental, and social costs, and subsequently assessing the relevancy of the overall design within such a multicriteria decision-making processes.
With the increasing computing effort in Machine Learning especially when we know that training cost of intelligent models doubles every few months, there is an urgent need for what is called Green ML [1]. Green Machine Learning deals with the assessment of the design practices of Machine Learning architectures by involving computing overhead, interpretability, robustness and identifying trade-offs between these problems. This topic is going to be a trending research area because of the multi criteria that must be assessed in order to optimize ML models.
This short article is intended to give a brief introduction to basic concepts relating to Green ML
Green ML vs. Red ML
The ultimate goal of Green ML is to raise awareness about a need for a comprehensive design and efficiency of evaluation of ML constructs by identifying meaningful trade-offs among a plethora of carefully selected objectives. On the other hand, Red ML is guided by a single performance index realized by the value of an objective function.
Is blockchain really secure? Here are four pressing cyber threats you must consider
Decentralized digital transformation is achieved by creating trust between parties and eliminating intermediaries, thus facilitating easy data sharing.
Blockchain is a key technology of the Fourth Industrial Revolution, blurring the lines between physical and digital spaces. It creates new innovative opportunities and disrupts existing businesses by enabling decentralized digital transformation.
This decentralization is achieved by creating trust between parties and eliminating intermediaries, to facilitate efficient data sharing and value exchange.
Blockchain is commonly associated with bitcoin and other cryptocurrencies, but its use cases go beyond financial applications to include various business domains such as agriculture, mining, manufacturing, energy, supply chains and healthcare.
However, while blockchain technology utilizes security primitives, such as cryptography, additional efforts must be made to secure its large-scale architecture and mitigate cyber threats.
6 must-read blockchain books for 2023
Numerous sources provide comprehensive information on blockchain fundamentals and applications. We narrowed the field to six of the most popular and diverse books available.
Blockchain still is a vast and evolving technology. Despite the ambiguity surrounding this topic, blockchain has been gaining a steady influence on financial markets. Demandsage predicts a $163.83 billion market for blockchain technology by 2029, with a compound annual growth rate of 56.3%. Comparable to a checkbook that’s dispersed among many computer systems worldwide, blockchain is an unalterable and distributed ledger for popular cryptocurrencies including Bitcoin, Ethereum and XRP.
However, when it comes to learning about blockchain technology, it can be difficult to select the best material because of the topic’s popularity. To help, we have handpicked a few popular books on the subject written by experts in the field. So regardless of whether one is trying to grasp the fundamentals or dig deeper into blockchain technology, in no particular order, here are our six must-read books on this topic:
Feature Article
How AI is Outpacing Moore’s Law and Really Helps Expand Human Intelligence
Celesta’s TechSurge Summit covered investment trends in deep technology and included insights on data growth and demand. John Hennessy, CEO of Alphabet, covered many topics, including how AI can be an amplifier of human intelligence.
I attended Celesta Capital’s TechSurge Summit on February 13, 2023 at the Computer History Museum. In this piece I will talk about interview with Nic Brathwaite Founder and Managing Partner of Celesta Capital as well as Sriram Viswanathan (Founding General Manager of Celesta and heavily involved in venture investments in India), and a panel discussion by John Hennessy (Chairman of Alphabet).
In a companion article I will talk about my interview with John Hennessy, Chairman of Alphabet (Google’s parent company) and Vint Cerf, also with Google, during the TechSurge Summit. In addition, I will also discuss some notes related to a semiconductor panel at the Summit that included Sanjay Mehrotra (CEO of Micron).
Celesta Capital is a Venture Capital (VC) investment company and they put on the Summit to explore the future and state of deep tech investing – ranging from investment trends in deep tech to industry trends increasing demand for new tech advancements, and why investments need to focus on technologies that enable mass adoption of emerging applications. I will try to give some insights related to this theme, especially regarding the growth of data and digital storage trends.
THE DIGITAL EYE
I hope these articles are valuable.
I am passionate about technology, and I want to share that passion with you. I believe that it’s essential for everyone to stay up-to-date on the latest trends, so I’ve set out to cover all aspects of the industry – from data analytics to blockchain and AI.
Please let me know if you want to see any other topics covered, and I would appreciate your help sharing this blog with others interested.