Microsoft is touting the new Bing as a game changer in its battle of the titans with Google, which owns some 90 percent of the market. Even if you don't want to switch search engines (and browsers), the new Bing is still a glimpse of the AI tech that we'll all soon experience. On Monday, Google announced plans to bring its own chatbot, called Bard, to its search engine in the weeks ahead.

A team of scientists at Los Alamos National Laboratory is applying machine-learning algorithms to subsurface imaging that will impact a variety of applications, including energy exploration, carbon capture and sequestration and estimating pathways of subsurface contaminant transport, according to new research published in IEEE Signal Processing Magazine. "The subsurface is extremely complex and full of uncertainty, and knowledge of its physical properties is vital for a variety of applications," said Youzuo Lin of Los Alamos' Energy and Earth System Science group and lead author of the paper. "This paper is the first systematic survey on physics-guided machine-learning techniques for computational wave imaging." The authors reviewed more than a 100 research articles, organizing them within a structured framework that highlights the most significant recent innovations in this area. These insights will be of value not only for subsurface imaging, but also for other computational wave imaging problems such as medical ultrasound imaging and acoustic sensing for materials science. The process of obtaining subsurface data from surface measurements is called seismic inversion.

Computer maker Cerebras used its AI computer on a non-AI problem: simulating "buoyancy-driven Navier-Stokes flows" that capture dynamics of many systems in nature and the built environment. The work, the first of its kind, allows for a "digital twin" of the real-world whereby scientists can make predictions and see the effects of interventions in a kind of control loop. Simulating the real world in real time can afford scientists a way to make predictions based on playing out scenarios as they unfold. That could be an asset in dealing with extreme weather scenarios, such as those involved in global warming. AI computing pioneer Cerebras and the National Energy Technology Laboratory of the U.S. Department of Energy on Tuesday announced a speed-up in scientific equations that they say can permit real-time simulation of extreme weather conditions.

A tweet pinned to the top of Hegde's feed in honor of Modi's birthday calls him "the leader who brought back India's lost glory." On January 7, the account tweeted a screenshot from ChatGPT to its more than 185,000 followers; the tweet appeared to show the AI-powered chatbot making a joke about the Hindu deity Krishna. ChatGPT uses large language models to provide detailed answers to text prompts, responding to questions about everything from legal problems to song lyrics. But on questions of faith, it's mostly trained to be circumspect, responding "I'm sorry, but I'm not programmed to make jokes about any religion or deity," when prompted to quip about Jesus Christ or Mohammed. That limitation appears not to include Hindu religious figures.

For anyone who wants to get a piece of content they've created out there, the number of platforms and formats means it's not so simple as it used to be. GlossAi is a startup aiming to automate the process using (what else?) AI, and its approach of turning a half hour of content into an infinity of short clips and posts may not be palatable to everyone, investors are betting on the tech to the tune of $8 million seed round. There are already plenty of automatic editing and snipping tools out there, from big names like Adobe and generative AI startups like QuickVid. It wouldn't be accurate to say they've reached mainstream use (or perhaps even that they are ready for it), but the idea is certainly in circulation. Tel Aviv-based GlossAi sets itself apart by accomplishing a sort of middle road between purely generated stuff and intelligent clipping of your existing video.

Large language models like OpenAI's GPT-3 are massive neural networks that can generate human-like text, from poetry to programming code. Trained using troves of internet data, these machine-learning models take a small bit of input text and then predict the text that is likely to come next. But that's not all these models can do. Researchers are exploring a curious phenomenon known as in-context learning, in which a large language model learns to accomplish a task after seeing only a few examples--despite the fact that it wasn't trained for that task. For instance, someone could feed the model several example sentences and their sentiments (positive or negative), then prompt it with a new sentence, and the model can give the correct sentiment.

To empower people to unlock the joy of discovery, feel the wonder of creation and better harness the world's knowledge, today we're improving how the world benefits from the web by reinventing the tools billions of people use every day, the search engine and the browser. Today, we're launching an all new, AI-powered Bing search engine and Edge browser, available in preview now at Bing.com, to deliver better search, more complete answers, a new chat experience and the ability to generate content. We think of these tools as an AI copilot for the web. "AI will fundamentally change every software category, starting with the largest category of all – search," said Satya Nadella, Chairman and CEO, Microsoft. "Today, we're launching Bing and Edge powered by AI copilot and chat, to help people get more from search and the web."

Artificial Intelligence (A.I.) has garnered widespread attention from users and investors after the viral rollout of the AI-powered chatbot ChatGPT. To give you an idea of how successful the launch has been, ChatGPT is now the fastest consumer app to reach 100 million active users – taking just two months to reach the milestone. As a result of the meteoric rise to popularity, privately held ChatGPT creator OpenAI has secured more than $10 billion in investments from Microsoft. Companies like Amazonhave been using AI under the hood for years. For example, Amazon leverages AI on its back end to increase sales on its e-commerce platform (if you add a table to your shopping cart, it will suggest chairs).

Hundreds of millions of people turn to Spotify for their music needs, healing their souls with all sorts of music. Now, Spotify founder Daniel Ek has announced his Swedish healthcare startup Neko Health, which specializes in providing body scans powered by artificial intelligence (AI). The names of the co-founders, Daniel Ek and Hjalmar Nilsonne, were mentioned in a LinkedIn post made by the company. The post also mentioned a focus on a healthcare system that helps people "stay healthy through preventive measures and early detection." The healthcare industry is fiercely competitive, especially when it comes to new technology.

Senior Microsoft executives on Tuesday unveiled plans to use AI capabilities to improve its struggling online search engine Bing, and its internet browser Edge. It's hoping to offer more competition to market leader Google's Search function and Chrome web browser. The announcement comes as the new artificial intelligence writing program ChatGPT enjoys widespread public attention following its launch last November. Microsoft had been a partner and 9% stakeholder of the OpenAI non-profit that created ChatGPT since 2019, but in late January it made another major investment in the group -- reportedly as much as $10 billion (roughly €9.3 billion) -- to increase that presence. Its redoubled interest in OpenAI is thought to be a bid to counter some of the wider research operations of Google's Alphabet Inc. parent company.