Meta has announced that it will shut down its social to-do list application called ‘Move’ in March. The app allows users to earn points for completing tasks on their personal and group to-do lists.
Launched in March 2022, the application also enables users to use earned points to customize an alpaca avatar with accessories such as sunglasses, hats, clothing, and more.
Move’s goal was to promote group involvement as the avatar’s customization facilitates users to see which members were the most productive, depending on the number of accessories they collected for their alpaca.
Move informed its users in an iOS application update published on Sunday that the application will shut down and no longer be available after March 2, 2023.
New users will not be able to sign-up. However, existing users can log in to download their data before the final closure of the application. In December 2022, the company had announced that it was shutting down its cameo-like app, Super.
A team of researchers at Massachusetts Institutes of Technology have recently developed a NOPA-neurally guided online probabilistic assistance framework to allow artificial agents to assist human users at different times. They have introduced the new framework in a paper, which is pre-published on arXiv and will be presented at ICRA 2023.
Researchers aimed to build AI-empowered agents that can simultaneously infer what tasks a human is tackling and assist them appropriately. They have referred to this problem as ‘online watch and help.’
Xavier Puig, one of the researchers, mentioned that they were interested in studying agents to help humans to do tasks in a simulated environment. To achieve this, one of the crucial questions was how to specify the agents whose tasks need help. One option was to specify with a language description or demonstration, but this will require extra work from the human side.
The NOPA framework uses a neural network that proposes multiple goals based on what the user or human has done. It then evaluates the goals with the help of a reasoning method called inverse planning.
Researchers explain that one of the examples can be putting apples inside a fridge or on the table. So, instead of randomly guessing at the target location and putting apples there, NOPA-enabled agents can pick up those apples and deliver them to humans. This can help in avoiding mess in the environment.
Metaverse-related tokens have started the year by outperforming bitcoin by large margins. Bitcoin is the world’s largest cryptocurrency in terms of market value.
Decentraland’s MANA, the native token of the metaverse project, increased by about 145% in January. Decentraland’s price uptick mainly followed after it announced a number of new features a few weeks back. Despite that, the platform’s user figures have not increased significantly.
January’s market surge has witnessed several smaller tokens outshine the big cryptocurrencies by market capitalization. Bitcoin has risen 40% in January, ether 32%, and BNB 32%. Decentraland’s market cap is $1.3 billion, whereas bitcoin’s is $446 billion.
Yield Guild Games, a gaming guild that invests in the play-to-earn world and provides users with on-ramps, has gained 92% in price. The market cap for YGG is $57 million.
Managing partner at blockchain consultancy STORM Partners, Sheraz Ahmed, said the metaverse-related token increase is because “the business potential of such tokens is much more clearer now than it was about a year ago, which in contrast to certain altcoins is not the case.”
“It is clear that Investors have a growing interest in Web3 virtual worlds,” said Ahmed. The total market cap for metaverse-related tokens is currently around $8.5 billion, which is less than 1% of the total crypto market capitalization (now almost $1.1 trillion). Ahmed said that there is plenty of room for growth.
The US is launching a partnership with India that will help the countries compete against China in military equipment, semiconductors, and artificial intelligence (AI). The new initiative will also include a joint effort on high-performance quantum computing and space.
Biden wants to deploy more Western mobile phone networks to the subcontinent to compete with China’s Huawei Technologies, to welcome more computer chip specialists from India to the US, and to encourage companies from both countries to collaborate on military equipment such as artillery systems.
Yet the US is facing an uphill battle on each front, including visas for immigrant workers, US restrictions on military technology transfer, and India’s long-standing dependence on Moscow for military hardware. The US seeks to address these issues now.
Jake Sullivan, Biden’s national security adviser, and Ajit Doval, his Indian counterpart, met with senior officials from both countries at the White House to launch the India-US Initiative on Critical and Emerging Technologies.
“This is another big foundational piece of an overall strategy to put the entire democratic world in the Indo-Pacific in a position of strength. It’s a strategic bet by the two leaders on the idea that creating a deeper ecosystem between India and the United States will serve our strategic, economic, and technological interests,” said Biden’s national security adviser, Jake Sullivan.
Adani Group’s chairman Gautam Adani announced on Tuesday to set up an artificial intelligence lab in Tel Aviv, Israel, at the handing over ceremony of Israel’s Haifa port to Adani Group with Israel prime minister Benjamin Netanyahu.
Gautam Adani mentioned that Adani Group is setting up an AI lab in Tel Aviv to collaborate closely with new AI labs in India and the US. He also has plans for the Haifa port, the acquisition of Haifa port comes with a significant amount of real estate, and Gautam Adani wishes to transform it in the coming years.
Besides the Haifa port, Adani Group has established critical partnerships with Elbit Systems, Israel Innovation Authority, and Israel Weapons Systems. They are also establishing collaborative relationships with local colleges in Israel, such as the University of Haifa, to encourage new technologies and expertise available in the city.
Adani expressed confidence in transforming the entire Haifa port. He realizes the competition from the others sectors, but his confidence boosts by the people of Israel and their growth stories. Adani aims to make suitable investments in Israel to make the Adani Group proud and the entire of Israel proud. Israel-India relationships take him back to September 1918, when soldiers from Indian cities like Hyderabad, Mysore, and Jodhpur battled for the freedom of Haifa.
The Dubai International Financial Center (DIFC) unveils its metaverse platform to attract technology innovators worldwide.
The metaverse platform consists of three main initiatives. It will have an accelerator program with a dedicated physical studio for metaverse technology to encourage the development of a venture-building and creator community. The accelerator program will launch soon, attract more than 500 applicants, and identify 50 graduates. It will also facilitate partnerships with startups and corporates to create proofs-of-concept and innovative metaverse solutions.
As per the DIFC, it will support metaverse startups and help them explore, gain exposure to investors, access a regulatory sandbox, and obtain marketing guidance.
Arif Amiri, the chief executive of the DIFC authority, stated that developing the integrated DIFC metaverse platform would empower the achievements of Dubai. The DIFC initiative is a natural extension of Dubai’s Innovation Hub proposition.
The DIFC metaverse platform will also address policy development in the metaverse sector, legislation on open data, company law frameworks, and digital identity in the metaverse.
According to Omar bin Sultan Al Olama, the minister of State for Artificial Intelligence, Digital Economy, and Remote Work Applications, the UAE is adopting advanced technologies to keep up with global changes.
Yesterday, OpenAI, the company behind ChatGPT and DALL-E 2, launched a new “AI classifier” tool. This tool can distinguish whether a person has authored text or used artificial intelligence to generate textual content.
Since ChatGPT captured global attention for its text-generative AI abilities, many have been quite critical of its misuse. Sure, ChatGPT can be used to write codes, compose essays, suggest jokes for Twitter, or even help you improve your flirting skills on chatting, but the debate has been around the use of this tool in academia.
The chatbot has aced tests at the graduate level in various disciplines, including those for four law courses at the University of Minnesota and the MBA program final exam at the University of Pennsylvania. It also passed the American US Medical Licensing Examination comfortably within the passing range.
However, the accessibility and capability of ChatGPT have faced heat from educators worldwide. There have been multiple instances where teachers have expressed concerns about students employing ChatGPT to complete their assignments or write their papers for them. In January, the New York City Education Department banned the use of ChatGPT in schools, highlighting concerns about the reliability and accuracy of the content generated.
A few weeks ago, the International Conference on Machine Learning (ICML) published a guideline stating that papers using large-scale language models (LLMs), such as ChatGPT, are only allowed if the generated text is included as part of the paper’s experimental analysis. Additionally, Stack Overflow and other websites have prohibited users from publishing ChatGPT-generated content because they believe that the AI makes it too simple for users to oversaturate discussion threads with inappropriate responses. Recently, Yann LeCun, Meta’s chief AI scientist, claimed that he does not find ChatGPT to be particularly innovative.
But not every educator feels the same about ChatGPT. For example, in reaction to ChatGPT and concerns that students would use it to write essays and cheat on examinations, the Group of Eight (Go8) consortium of prestigious Australian institutions announced last month that its members would set more pen-and-paper assessments. However, soon they found themselves discussing the benefits of tools like ChatGPT for disabled students.
According to OpenAI’s press statement, the AI classifier is a language model refined using a dataset of pairs of texts authored by humans and AI on the same topic. This dataset was compiled from a number of sources, including pretraining data and human demonstrations on InstructGPT prompts.
OpenAI believes the new tool will help stop the exploitation of AI text-generation tools for unethical purposes, including automated misinformation campaigns, plagiarism, academic dishonesty, and posing an AI chatbot as a human.
Despite the fact that this could be a game-changer in addressing worries regarding AI-generated content, OpenAI clarified that there are limitations. According to OpenAI, “the AI classifier is not fully reliable.”
With a 26% accuracy rate in detecting non-human generated text, the classifier still has room for improvement. During the tests, OpenAI also found that the classifier can mistakenly classify human-written material as AI-written text 9% of the time. There are other caveats too. For instance, the classifier performs relatively worse when the text is fewer than 1,000 characters in length or about 150 to 250 words. Additionally, the classifier may not work as well with text in other languages because it is designed for English-language text.
We used the OpenAI classifier to check its effectiveness and found that while it correctly labeled some Analytics Drift articles, it did mislabel a few. On Twitter, the Founder of AlphaSignal.ai shared how they were successful in tricking the classifier by using GPT3 to rewrite the text. So, the claims are true!!
OpenAI just released a new model to distinguish between AI/human written text to protect against ChatGPT.
The classifier was trained on a pair of AI/human written dataset.
However.. I was easily able to trick it by using GPT3 to rewrite the text.
You can access the AI Classifer with just a few clicks! Visit the page, log in, copy your text, and then wait for the classifier to do its thing. It won’t take long for it to rank your text on a scale ranging from very unlikely to likely. It’s that easy!
Edward Tian, a student at Princeton University, released GPTZero earlier last month and noted on the tool’s website that it was designed for educators. So far, more than 5000 educators from top universities, including Yale and Harvard, have signed up to use GPTZero. Copyleaks, a plagiarism detection program, introduced its own AI Content Detector for educational institutions and publishing last month. The Giant Learning Model Test Room, a partnership between the MIT-IBM Watson AI Lab and the Harvard Natural Language Processing Group, can also recognize AI-generated work using predictive text.
As a part of the global drive for practical quantum computers and quantum networks, an international team of researchers at the University of Cambridge has made a development to retain the quantum coherence of quantum dot spin qubits.
Quantum dots are crystalline structures made out of many atoms. Every atom consists of a magnetic dipole moment that couples to the quantum dot electron and will suffer the loss of quantum information stored in the electron qubit.
Claire Le, who led the project from the University of Cambridge’s Cavendish Laboratory, mentioned that the development is a new regime for optically active quantum dots where you can switch off the interaction with nuclei and refocus the electronic spin over and over to find its quantum state alive.
While exploring the hundred-microsecond timescales for the first time, researchers were surprised to find that the electron only sees noises from the nuclei. Another thing that surprised the researchers was the sound from the nuclei. It was not as harmonious as initially anticipated, and there is a scope for further improvement in the system’s quantum coherence.
The world’s leading cryptocurrency infrastructure provider, Binance, has partnered with Mastercard to announce the launch of the Binance Card in Brazil.
The prepaid card is a part of the ongoing initiatives to evolve the bridge between existing financial services and the growing crypto ecosystem. The card is still in the testing phase and will be available widely in the coming weeks.
The Binance Card that will be issued by Dock will allow all Binance users in Brazil with a valid national ID to pay bills and make purchases with cryptocurrencies, including BNB and Bitcoin. Purchases can be made at over 90 million Mastercard merchants worldwide, both in-store and online.
Users can enjoy a seamless transaction during which their cryptocurrencies are converted to fiat currency at the point of purchase in real time. Some of the advantages include zero fees on ATM withdrawals and up to 8% cashback in crypto on eligible purchases.
Binance cardholders can manage their cards through the card dashboard on the Binance website and App. Users will also be able to see their transaction history and access customer support through the card dashboard. By using the Binance Card, merchants will continue to receive fiat, and the users can pay in any cryptocurrency they choose.
Binance Card holders in Brazil can pay by using 14 different currencies, including DOT, SOL, ADA, SHIB, XRP, MATIC e LINK, USDT, BTC, ETH, BNB, BUSD, Santos fan token, and Brazilian Real.
PowerON, a New Zealand startup, claims the next generation of robotics can fabricate muscles, feature sensory skins, and have artificial neurons printed on flexible materials, allowing them to feel.
Junior Research Group Leader at TU Dresden’s Institute of Semiconductors and Microsystems and CEO of PowerON, Dr. Markus Henke, mentioned that people are observing a drastic trend in automation across all areas of industries, and they will soon see more of it in their everyday lives.
PowerON uses the results of the collaborative research conducted by TU Dresden’s Institute of Semiconductors and Microsystems and the University of Aukland in New Zealand.
Dr. Markus Henke completed his two-year postdoc fellowship at the University of Auckland in the department of electrical and computer engineering. With the collaboration of TU Dresden, he and his team explored the scientific foundations of multifunctional dielectric elastomers in soft robotics as a part of the Marie Curie Fellowship awarded by the European Commission. Upon his return to TU Dresden, Dr. Markus and his colleagues founded PowerON with the help of Dresden.
Prof Andreas Richter, the Chairperson, and Director of the Institute of Semiconductors and Microsystems, stated that PowerON wants to use a sensory fingertip for industrial robots. According to him, the sensory fingertip of robots will help handle items like eggs or test tubes and harvest fruits and vegetables and can be implemented at home or in healthcare sectors.
