Biologists inspired by digital art generators like DALL-E decide to build artificial intelligence human proteins that can fight cancer, flu, and Covid. DALL-E works by processing the text descriptions through several layers of neural networks, which are sets of algorithms that are designed to mimic the way the human brain works. These neural networks analyze the text and extract a representation of the image that is described. This representation is then used to generate the new image, which is done by passing it through a decoder network. The decoder network then generates a new image that corresponds to the text description. One of the key features of DALL-E is its ability to generate images that are not present in the training dataset.

Reports have surfaced that Microsoft Corp. is in advanced negotiations to make a massive investment in OpenAI, the company behind the revolutionary ChatGPT chatbot. Insiders reveal that the deal could see Microsoft pumping in a whopping $10 billion, which would value OpenAI at an impressive $29 billion. This means that the non-profit OpenAI Inc. could own a measly 2% while 49% will remain for other investors as Microsoft eats up the lion's share. This potential investment has far-reaching implications for the future of OpenAI and the broader AI sector. The decision to make Microsoft the majority shareholder could potentially change OpenAI's initial goals of being open and accessible to the public, its namesake. It could also raise questions about the future direction and priorities of the organization and its products.

Today is my first day back after a much-needed 3-week break. For most of that period we were up in the mountains, and split our time between snowboarding and snowshoeing with the puppy. We had some unseasonably mild weather in the Alps, over the break, but we did still manage to make the most of what snow there was.During the course of the break, I spent some time thinking back on 2022 and looking ahead to 2023. For me, 2022 has brought a significant amount of change and uncertainty, between changes in role, escalating climate issues or the war in Ukraine and its resultant energy crisis and impact on financial markets. As my friend Jacqueline did say (and I'm paraphrasing), at least there's been Wordle. Toward the tail end of 2022, it became increasingly clear that this coming year is going to be marked by AI and ML hitting an important inflection point: the speed at which the technology has gone from "that's a nice toy" to "oh wow, this is going to change things" is verging on the scary/ridiculous.

Microsoft has been in talks to invest $10 billion into the owner of ChatGPT, the wildly popular app that has thrilled casual users and artificial-intelligence experts since its latest software was released last month, people familiar with the matter said. The funding, which would also include other venture firms, would value OpenAI, the firm behind ChatGPT, at $29 billion, including the new investment, the people said. It's unclear if the deal has been finalized but documents sent to prospective investors in recent weeks outlining its terms indicated a targeted close by the end of 2022. Microsoft's infusion would be part of a complicated deal in which the company would get 75% of OpenAI's profits until it recoups its investment, the people said. After that threshold is reached, it would revert to a structure that reflects ownership of OpenAI, with Microsoft having a 49% stake, other investors taking another 49% and OpenAI's nonprofit parent getting 2%.

Check out all the on-demand sessions from the Intelligent Security Summit here. For many, hearing the word E. coli is often a reason to be concerned, as the bacteria can lead to incidents of food poisoning in humans. As it turns out, E. coli might well be the panacea that enables a new form of generative AI for healthcare that could help enable researchers to generate new antibodies. Generative AI in recent years has captured popular imagination by enabling users to generate text or images on demand, but its uses go much deeper, too. Generative models that provide large machine learning (ML) models that can create new things is an emerging area in science helping to accelerate discovery.

When Greg unboxed a new robot vacuum cleaner in December 2019, he thought he knew what he was getting into. As a beta-tester, he anticipated allowing the preproduction test version of iRobot's Roomba J series device to roam around his house, collect data to help improve its artificial intelligence, and provide feedback about his user experience But what Greg didn't know--and does not believe he consented to--was that iRobot would share test users' data in a sprawling, global data supply chain, where everything (and everyone) captured by the devices' cameras could be seen by low-paid contractors. Nearly a dozen iRobot testers have come forward in the weeks since MIT Technology Review published an investigation into how the company uses images captured from inside real homes to train its AI. They feel misled by the company's failure to adequately protect their data, and have been left wondering where the accountability actually lies. When OpenAI released its text-to-image AI model DALL-E in 2021, it paved the way for other programs designed to take a short description of pretty much anything, and spit out a picture of what you asked for in seconds.

A mental health service that allows people to receive encouraging words of support and advice from others tested AI-generated responses without first notifying the recipients. Rob Morris, founder of the free mental health service Koko, outlined in a series of Twitter posts how the firm tested using a chatbot to help provide mental health support to about 4000 people. The chatbots were powered by GPT-3, a publicly available AI built by San Francisco-based company OpenAI.

OpenAI is building software capable of detecting whether text was generated by its ChatGPT model after New York City education officials announced it was blocking students from accessing the tool in public schools.

In 2018 at the World Economic Forum in Davos, Google CEO Sundar Pichai had something to say: "AI is probably the most important thing humanity has ever worked on. I think of it as something more profound than electricity or fire." Pichai's comment was met with a healthy dose of skepticism. AI translation is now so advanced that it's on the brink of obviating language barriers on the internet among the most widely spoken languages. College professors are tearing their hair out because AI text generators can now write essays as well as your typical undergraduate -- making it easy to cheat in a way no plagiarism detector can catch. AI-generated artwork is even winning state fairs.

The AI are coming and they don't stop coming. From AI art generators that can make Dungeons & Dragons characters to chat bots that can DM an entire D&D game, AI is becoming increasingly powerful. And now not only can it mimic the art styles of various artists, but AI can also mimic our voices too. We've already seen AI voice tech being used in video games, but Microsoft's Vall-E promises to be even easier to use. Dubbed a "neural codec language model", Vall-E (an homage to OpenAI's Dall-E art generator) has been trained on over 60,000 hours of speech, making it "hundreds of times larger than existing systems."