ChatGPT, Open AI’s artificial intelligence dialogue chatbot, has passed all three divisions of the United States Medical Licensing Examination, according to experts.
According to the latest research experiment, ChatGPT was comfortably within the passing range and depicted moderate accuracy in the exams. The name of the experiment is Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models. The research is still being peer-reviewed.
The researchers wrote in the paper that ChatGPT performed at or almost near the passing threshold for all the three exams without any specialized training or reinforcement.
Researchers said the tool was capable of demonstrating a high level of insight and concordance in its explanation. They added that the results suggest that large language models may, in fact, have the potential to assist with medical education and clinical decision-making.
The first step of the exam was taken by medical students who have completed at least two years of learning. The second was taken by fourth-year medical students who have completed up to two years of clinical rotations. The step three was conducted by postgraduate students.
Google’s Parent Alphabet announced the layoff of 12000 of its employees for the year 2023. According to the reports, the layoff will be done globally and affect US staff immediately. The Chief Executive Officer, Sundar Pichai, has even mailed the employees saying he will take responsibility for the decision.
Besides Google, other big tech companies like Amazon and Microsoft announced layoffs at the beginning of the year. Along with tech companies, food delivery and grocery platforms like Zomato and Swiggy and online cab services like Ola have also announced significant layoffs.
Sundar Pichai has mentioned that he is confident of the huge opportunity in front of the organization and has thanked the strength of the company’s mission, the value of its products and services, and early investments in AI.
The layoff at Google Parent Alphabet will affect teams across the company like recruiting, corporate functions, product, and engineering teams. Alphabet has already emailed some affected employees, and the process can take longer in other countries due to local employment laws and practices.
According to an investigation by Time, OpenAI paid Kenyan workers less than $2 per hour to filter through tens of thousands of lines of text to help make ChatGPT safer to use.
The workers were assigned to label and filter out toxic data from ChatGPT’s training dataset. They were forced to read graphic details of NSFW content such as bestiality, murder, suicide, torture, self-harm, child sexual abuse, and incest, Time reported.
OpenAI partnered with a data labeling partner based in San Francisco, Sama, to detect and label toxic content that could further be fed as data into a filtering tool for ChatGPT. Sama claims to provide developing countries with “ethical” and “dignified digital work.”
Sama recruited data labelers in Kenya in order to work on behalf of OpenAI, thus playing a crucial role in making the chatbot safe for public usage.
Despite playing an integral role in building ChatGPT, the workers were faced with grueling conditions and low pay. The workers received wages between $1.32 and $2 an hour, based on seniority and performance.
Sama stopped its work for OpenAI in February 2022, about eight months earlier than the contracted period, because of the traumatic nature of the work and also because of an investigative report published by Time about Sama’s work with Meta.
In a significant setback, Google has lost its fight in Indian Supreme Court to block an antitrust order that will force the company to change the business model of its infamous Android operating system in a critical growth market.
In October, the Competition Commission of India (CCI) said that Google exploited its dominant position in Android and asked it to remove restrictions imposed on device makers, including those related to the pre-installation of apps. It also fined Google with $161 million.
Google challenged the order in court, saying it will hurt consumers and its business. The company warned growth of the Android ecosystem could stall and that it would be forced to change arrangements with more than 1,100 device manufacturers and about 1,000 app developers. Google also said that no other jurisdiction has ever asked for such far-reaching changes.
A three-judge bench at the Supreme Court, including India’s chief justice, delayed the implementation of the CCI’s directives by one week. However, they declined to block them. Chief Justice D.Y Chandrachud said, “We are not inclined to interfere.”
Google licenses its Android system to smartphone makers. However, critics say it imposes restrictions like mandatory pre-installation of its own apps that are seen as anti-competitive. Google argues that such agreements help keep Android free.
Why are so many professional people and college students surprised to learn a few of the basic facts about the field of data science? Maybe it’s because the discipline is relatively new, having grown out of statistics, computer programming, financial analysis, project management, and others. A decade ago, the term was unknown. Today, most top universities and colleges offer dozens of courses for students who want to get into the fast-growing career field.
What are the facts that surprise so many otherwise informed individuals? In addition to the fact that the best data science jobs go to degree-holders, people seldom know that collecting information is a core component of the process, that programming is not a prerequisite skill to enter the field, and that data science is not just a big tech profession. Consider the following details in order to get a clearer picture of what data science is all about.
The Best Jobs Go to Those with Degrees
There are a few myths surrounding education within the field of data science, so it’s important to parse them and deal with each one separately. First, there’s no need to hold a Ph.D. or even a grad school diploma to excel in the industry. However, getting a college degree is almost a requirement these days, particularly amid competition for the top jobs and career paths. For those contemplating data science as their future job category, step one is to figure out how to pay for college.
That’s why the great majority of prospective degree holders turn to private student loans as the most efficient method of covering school-related expenses for a four-year degree. The good news is that anyone can apply for a loan. Acquiring financing in advance is the smartest way to pay for college, especially when the goal is to learn real-world skills and secure a position as a data science expert upon graduation.
More Data is Not Always a Good Thing
Data science is about quality, not quantity. Gathering and cleaning bits and pieces of data-rich information can be a tedious process, but the resulting reports, charts, and other outputs are directly related to the quality of the input. The old programming acronym, GIGO, garbage in, garbage out, still applies and is of particular relevance to data scientists in the 2020s. Researchers can gather thousands of statistical studies, but if the original information that formed the basis of those reports was flawed, the results would not be relevant or usable. Instead of pushing for quantity, experienced data science professionals aim to locate as much high-quality information as possible. Quantity itself is not a bad thing as long as all the original input is useful and relevant.
It’s Not Just for Programmers
The data science field is not an exclusive club for computer programmers and math wizards. While there are a number of programming and math enthusiasts and experts who pursue data science as a career, most people are surprised to find a wide variety of other disciplines working in top jobs. One of the newest trends in business schools is for accounting, finance, marketing, and management majors to venture into data-based science positions after graduation.
Collecting Data is a Primary Part of the Science
So much emphasis in business literature focuses on cleaning, organizing, processing, and analyzing information, and it’s easy to forget about the collection phase. No matter what the industry is, professionals who gather statistics and other data spend a lot of time on two steps of the task. First, they need to identify where relevant bits of information might be hiding. Typical suspects include government reports, online public records, archived scientific files, hard-copy documents in libraries, and dozens of other locations. The next challenge is to gather those resources in the most efficient way possible.
Dubai Verse Cup (DVCC), a play-to-earn Metaverse-based horse racing platform, has joined hands with Dubai Racing Club, which organizes the huge races at Meydan, to create the new Metaverse-based horse racing platform.
The platform will allow game players to ride around the popular Meydan Racecourse track on the back of their chosen horse. DVCC has introduced the immersive horse racing metaverse based on the bustling culture around the sport in Dubai.
CEO at DVCC, Vincent Isik, said, “Our platform is combining futuristic metaverse gaming with Dubai’s horse racing ecosystem. It was instinctive to partner with the most experienced and best in the industry, Dubai Racing Club.”
The collaboration will further develop DVCC’s play-to-earn gaming model, where players can gain rewards in the form of the DVCC dollar tokens based on their breeding and racing performance.
Players can exchange tokens for horses, avatars, perks, and skins, making the game a thriving marketplace and a competitive space at the heart of the Meydan Racecourse.
To further enhance the immersive and interactive experience, the game is played in a family-based system. Users can gather together in a family to compete with others and enhance their business or racing abilities.
NVIDIA’s tool for live streaming and video conferencing, NVIDIA Broadcast, can now digitally alter a subject’s eyes in real-time to make it appear as though they are looking directly at the camera.
One issue while shooting live-streamed video at home for professional use or on video calls is that some people are uncomfortable staring directly into the camera and instead look either at a script or other people on screen.
To solve this issue, NVIDIA has been working on a type of “deepfake” technology that can artificially adjust the eyes of the subject to make them appear as though they are making eye contact directly with the camera.
The feature is called Eye Contact. NVIDIA explained that the new Eye Contact effect moves the eyes of the user to simulate eye contact with the camera by estimating and aligning gaze.
The eyes retain their natural blinks and color, and there is also a disconnect feature to transition smoothly between simulated and real eyes in case one looks too far away.
While only being introduced into Broadcast recently, the technology has been under development at NVIDIA since last year under the name Maxine. Maxine is a set of GPU-accelerated AI SDKs and cloud-native microservices that are developed to enhance video, audio, and augmented reality effects in real time.
Israeli Researchers have developed a biohybrid sensor for smells that is 10,000 times more sensitive than today’s sensors that can be attached to a robot.
The sensor developed by researchers at Tel Aviv University uses the antenna of a locust to send electrical signals as a response to the odor present nearby, allowing a robot to detect and interpret smells via machine learning. This could be used to identify explosives, drugs, diseases, and more.
The researchers were successful in connecting the biological sensor to an electronic system and, with the help of a machine learning algorithm, were able to identify volatile compounds with a sensitivity of 1ng, 10,000 times higher than gas chromatography–mass spectrometry.
The sensor is able to differentiate between a minimum of eight pure odors and two mixtures of different odorants, independent of odorant concentration.
Professor Yossi Yovel, the School of Zoology and the Sagol School of Neuroscience said, “A comparison with standard measuring devices indicated that the sensitivity of the insect’s nose in our system is almost 10,000 times higher than the devices that are in use today.”
Dr. Ben Maoz from the Fleischman Faculty of Engineering and the Sagol School of Neuroscience said, “The principle we have demonstrated can be used and applied to other senses, such as touch and sight. The creation of a robot with a biological nose can help us preserve human life and identify criminals in a way that is not possible today.”
China is planning an AI-warfare strategy for Taipei based on informative and intelligence warfare to advance to a new strategic level as tensions in the strait of Taiwan escalate, reported Asia Times.
According to the report, Chinese military experts are exploring ‘smart deterrence’ concepts which mark a remarkable evolution in the use of artificial intelligence and similar emerging technologies by China from operational and tactical military levels to influence strategic decision-making.
According to the deputy director of the Shanghai Institute of Taiwan Studies, Ni Yongjie, in their peer-reviewed journal Cross-Strait Taiwan Studies, China should use AI and other advanced technologies to deter the US and pro-independence factions in Taiwan.
China has enacted a flexible long-term strategy for the self-governing island of Taiwan, said the report. This strategy involves periodic military exercises involving blockades, along with a tighter military noose to increase the threat level.
Moreover, it sends the message that any massive military exercise could quickly turn into anything, like an indefinite blockade of Taiwan to starve it into submission, the report said.
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