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Originally published on the Distant Whispers blog. From the coverage that ChatGPT, developed by OpenAI, has been receiving since its launch in November 2022, you would be forgiven for thinking that is the only technology story around. And it deserves the spotlight. Few had expected the jaw-dropping rapid strides that this technology has made in the last few years, and it will continue to wow us this year. It has opened a bottle, and a genie with unsurpassed powers has emerged.

AUSTIN, Texas--(BUSINESS WIRE)--AI advancements have ascended to the point of ChatGPT passing the U.S. Medical Licensing Exam, opening the door for practice integration and patient treatment. According to Software Advice's 2023 Medical Chatbot Survey, nearly half of doctors (45%) believe ChatGPT is a valuable tool and 77% believe that AI-powered chatbots will be able to treat patients safely within the next 10 years. Today's chatbots are mostly used for admin work at medical practices, and they are great at automating work. The three most common patient uses for medical chatbots include scheduling appointments (72%), requesting prescription refills (66%), and providing requested data like medical history (63%). A notable 46% of chatbots are currently being used to assess symptoms and determine whether a patient needs immediate assistance or can wait for an appointment, but we predict this number will grow rapidly in the next few years.

"With great power comes great responsibility." You don't have to be a Marvel buff to recognize that quote, popularized by the Spider-Man franchise. And while the sentiment was originally in reference to superhuman speed, strength, agility, and resilience, it's a helpful one to keep in mind when making sense of the rise of generative AI. While the technology itself isn't new, the launch of ChatGPT put it into the hands of 100 million people in the span of just 2 months, something that for many felt like gaining a superpower. But like all superpowers, what matters is what you use them for. Generative AI is no different.

San Francisco-based company Synthesis AI, a frontrunner in the field of synthetic data technologies, unveiled its latest project, Synthesis Labs, on April 18, 2023. This initiative focuses on introducing new generative AI capabilities, with an emphasis on text-to-3D technologies for digital humans. These advancements mark a milestone in the company's journey to support advanced AI applications, making Synthesis AI the first ever to demonstrate text-to-3D digital human synthesis at high-resolution cinematic quality. By merging generative AI with cinematic VFX pipelines, the Synthesis AI platform generates perfectly labeled synthetic data, which can be utilized to train machine learning models. The newest text-to-3D offerings, featured in Synthesis Labs, allow users to experience prompt-based input and editing, making no-code 3D generative AI capabilities accessible to a wide range of users – from computer vision and machine learning experts to non-technical users.

Amazon Kendra is an intelligent search service powered by machine learning (ML), enabling organizations to provide relevant information to customers and employees, when they need it. Amazon Kendra uses ML algorithms to enable users to use natural language queries to search for information scattered across multiple data souces in an enterprise, including commonly used document storage systems like Microsoft OneDrive. OneDrive is an online cloud storage service that allows you to host your content and have it automatically sync across multiple devices. We're excited to announce that we have updated the OneDrive connector for Amazon Kendra to add even more capabilities. For example, we have added support to search OneNote documents.

The Social and Ethical Responsibilities of Computing (SERC) is bringing together social scientists and humanists with engineers, computer scientists, and computing-related faculty for a daylong symposium at MIT to address the challenges and opportunities that have emerged with the broad applicability of computing in many aspects of our society. Join us for a series of panels and sessions featuring a distinguished lineup of speakers. We will also bring the vision and activities of SERC to the forefront by showcasing the work that is already taking place, and highlighting the faculty, postdocs, and students that are advancing SERC-related education and research across disciplines at MIT. Tuesday, April 18, 2023 7:00 am-5:30 pm (registration opens at 7:00 am; program begins at 8:00 am; reception from 4:30-5:30 pm) MIT Building E14, 6th floor (Media Lab) 75 Amherst Street Cambridge, MA 02139 View map Learn more about getting to MIT, building access, and where to park. Algorithms are now impacting every aspect of our lives, whether in the context of social media, online commerce, automated tasks, and now a wider range of interactions with the advent of large language models. There is little doubt that more is to come.

There was national news coverage this week of driverless cars pulling off to the side of the road in San Francisco due to fog. This wouldn't have been newsworthy if it didn't involve driverless cars--a technology that is still confounding drivers, policymakers, and passengers. At least compared to the average driver, who can get distracted, tired, drunk, speed, or even just make a judgment error--yes. According to the National Highway Traffic Safety Commission, carmakers have submitted a total of 419 autonomous vehicle crash reports since the advent of the technology. That number isn't insignificant, but consider that according to Berkeley's Transportation Injury Mapping System, in San Francisco there were 3,247 car accidents that resulted in injuries, an average of 270 injuries per month, in just 2022 alone.

In childhood, we used to write an essay on "Science is a miracle as well as a curse." Today, Artificial intelligence (A.I.) has changed the way we live, work, and communicate. Many industries have been transformed through it, like I.T., healthcare, finance, transportation, and manufacturing. The need for A.I. security has become more critical as it keeps evolving and becoming more sophisticated. A.I. can make our lives easier but can also be a cyber threat if misused.

With the rise of AI-generated art and AI-powered chatbots like ChatGPT, it's clear that artificial intelligence has become a ubiquitous part of our daily lives. These cutting-edge technologies have captured the public imagination, fueling speculation about the future of AI and its impact on society. But amidst all the hype, it's worth asking ourselves: do we really understand the basics of artificial intelligence? While we may use AI chatbots and other AI-powered tools every day, many of us may not be familiar with the underlying principles and techniques that make these technologies possible. In this article, we'll explore some of the fundamental concepts in artificial intelligence, from supervised and unsupervised learning to bias and fairness in AI.