Collaborating Authors


Marcus Invest by Goldman Sachs just became much more accessible to investors


Goldman Sachs announced that beginning Wednesday, June 29, it is lowering its account minimums and management fees for Marcus Investing accounts. The account minimum is being reduced drastically, from $1,000 to $0, and the minimum investment is now just $5. In addition, the company is reducing its portfolio management fee from 0.35% to 0.25%. These are welcomed changes to the robo-advisory investment platform. A robo-advisor investment platform manages a selection of portfolios on behalf of investors.

Three opportunities of Digital Transformation: AI, IoT and Blockchain


Koomey's law This law posits that the energy efficiency of computation doubles roughly every one-and-a-half years (see Figure 1–7). In other words, the energy necessary for the same amount of computation halves in that time span. To visualize the exponential impact this has, consider the face that a fully charged MacBook Air, when applying the energy efficiency of computation of 1992, would completely drain its battery in a mere 1.5 seconds. According to Koomey's law, the energy requirements for computation in embedded devices is shrinking to the point that harvesting the required energy from ambient sources like solar power and thermal energy should suffice to power the computation necessary in many applications. Metcalfe's law This law has nothing to do with chips, but all to do with connectivity. Formulated by Robert Metcalfe as he invented Ethernet, the law essentially states that the value of a network increases exponentially with regard to the number of its nodes (see Figure 1–8).

Top Machine Learning Trends for 2022


Blockchain is the new talk of the town. It is the technology behind cryptocurrencies like Bitcoin. Today, it has turned out to be a game-changer for businesses. Its decentralized ledger offers transparency and immutability in transactions between parties without any intermediary. The transactions are irreversible, which means once a ledger is updated, it can never be changed or deleted. Blockchain technology will eventually find its space in the new and innovative applications of Machine Learning and Artificial Intelligence.

Gay dating app Grindr to go public via blank-cheque company

Al Jazeera

Popular gay dating app Grindr has agreed to go public through a blank-cheque firm whose founder was part of a consortium that bought the company in 2020, according to a filing with the US Securities and Exchange Commission on Monday. The deal with Tiga Acquisition Corporation will raise $384m including $284m of the special-purpose acquisition company's (SPAC) cash in trust plus up to $100m in a forward purchase agreement, valuing the company at $2.1bn including debt, according to the filing. The dating app was valued at $620m when it was sold in 2020 by its Chinese owner. Tiga Acquisition Corp went public in November 2020 to raise $240m, a few months after the Grindr sale. The SPAC would have to liquidate later this month if it failed to reach a deal with a potential merger target, after several extensions of the liquidation deadline.

Super-successful AI Investment Technologies Will Likely Never Be Publicly Available


It's tempting to see AI as a solution to building a super-success investment engine. After all, if AI can solve text-to-speech or self-driving cars or landing rockets vertically, couldn't an artificially intelligent investing engine with access to all stock market, economy, weather, and trends data vastly outpace human investors and guarantee massive returns? And won't we be able to simply ask Alexa to buy a stock that's going to triple in value in six months? Well, never say never, but it's unlikely. One is that investment AI engines are returning benefits right now, but not Everest-sized performance that will blow your financial socks off and make you fire your investment advisor.

5 Major Machine Learning Projects That Can Help Beginners


Machine Learning is a major technology that is dominating the market. This technology can be used in tablets and computers that can learn all types of data, including programming languages. It uses a futuristic approach to address all major requirements, such as speech recognition and virtual assistants. These major projects can help you get started if you are interested in a career as a Machine Learning professional. During the pandemic, people have begun to watch movies online and on television.

Why Crypto Scams Are Driving an Online Crime Boom --And How to Outsmart Them

TIME - Tech

After two months, Tho Vu was infatuated. The 33-year-old customer service agent, living in Maryland, had met "Ze Zhao" through a dating app, and says she quickly began exchanging messages with him all day on WhatsApp. He seemed like someone she could rely on--he called her "little princess" and sent her reminders to drink enough water. By October 2021, despite never having met in person, they were talking about where to buy a house, how many kids to have, even how he hoped she'd do a home birth. "I want to take you with me when I do anything," he said, in messages seen by TIME.

Pasqal and Qu&Co Scale the Global Market for Quantum Applications - EE Times Europe


Qu&Co and Pasqal are merging their businesses, combining Qu&Co's robust portfolio of algorithms with Pasqal's full-stack neutral-atom system to accelerate the quantum path to commercial applications. The united business, known as Pasqal and located in Paris, will offer a 1,000-qubit quantum solution in 2023, according to the disclosed roadmaps of the most sophisticated quantum platforms. Qu&Co's portfolio of quantum algorithms will be tightly integrated with Pasqal's advanced quantum hardware, providing added value to customers such as Johnson & Johnson, LG, Airbus, and BMW Group. The combined company will offer a wide range of quantum solutions in chemistry, life sciences, automotive, electronics, utilities, aerospace, defense, finance, and other sectors. In an interview with EE Times Europe, Georges-Olivier Reymond, CEO of Pasqal, said the merger enables the combined company to fast-track the implementation of its R&D roadmap, recruit top talent, achieve an industry-relevant quantum advantage much sooner, and serve more clients with new, unique, and proprietary quantum solutions.

Ten years of Google Knowledge Graph -


It's been ten years since Google (now a child of holding company Alphabet) coined the term "knowledge graph" and described (in general terms) how their knowledge graph worked. And it's been over 20 years since Tim Berners-Lee, James Hendler and Ora Lassila published their first article to describe the semantic web they envisioned. Many knowledge graphs have been built using the semantic standards the W3C subsequently put in motion a decade or more ago. It's interesting to ponder what's happened since. Over the past decade, Alphabet has grown consistently to become one of the top six companies globally to achieve a market capitalization (total stock value of shares outstanding) of over $1 trillion.

Monitoring the Cryptocurrency Space with NLP and Knowledge Graphs


Every day, millions of articles and papers are published. While there is a lot of knowledge hidden in those articles, it is virtually impossible to read all of them. Even if you only focus on a specific domain, it is still hard to find all relevant articles and read them to get valuable insights. However, there are tools that could help you avoid manual labor and extract those insights automatically. I am, of course, talking about various NLP tools and services. In this blog post, I will present a solution of how you can combine the power of NLP with knowledge graphs to extract valuable insights from relevant articles automatically.