Voyager 1 is still alive out there, barreling into the cosmos more than 15 billion miles away. However, a computer problem has kept the mission's loyal support team in Southern California from knowing much more about the status of one of NASA's longest-lived spacecraft. The computer glitch cropped up on November 14, and it affected Voyager 1's ability to send back telemetry data, such as measurements from the craft's science instruments or basic engineering information about how the probe was doing. As a result, the team has no insight into key parameters regarding the craft's propulsion, power, or control systems. "It would be the biggest miracle if we get it back. We certainly haven't given up," said Suzanne Dodd, Voyager project manager at NASA's Jet Propulsion Laboratory, in an interview with Ars.

Doctors believe Artificial Intelligence is now saving lives, after a major advancement in breast cancer screenings. A.I. is detecting early signs of the disease, in some cases years before doctors would find the cancer on a traditional scan. For every patient visit, physicians spend an average of 16 minutes and 14 seconds using electronic health records to review data and make notes, according to a 2020 study in the Annals of Internal Medicine. Navina, a New York-based medical tech company, has created an artificial intelligence tool to help doctors reclaim some of that time -- and ensure that important data doesn't get missed. The platform, which is also called Navina, uses generative AI to transform how data informs the physician-patient interaction, explained Ronen Lavi, the company's Israel-based CEO.

Well curated, large-scale corpora of social media posts containing broad public opinion offer an alternative data source to complement traditional surveys. While surveys are effective at collecting representative samples and are capable of achieving high accuracy, they can be both expensive to run and lag public opinion by days or weeks. Both of these drawbacks could be overcome with a real-time, high volume data stream and fast analysis pipeline. A central challenge in orchestrating such a data pipeline is devising an effective method for rapidly selecting the best corpus of relevant documents for analysis. Querying with keywords alone often includes irrelevant documents that are not easily disambiguated with bag-of-words natural language processing methods. Here, we explore methods of corpus curation to filter irrelevant tweets using pre-trained transformer-based models, fine-tuned for our binary classification task on hand-labeled tweets. We are able to achieve F1 scores of up to 0.95. The low cost and high performance of fine-tuning such a model suggests that our approach could be of broad benefit as a pre-processing step for social media datasets with uncertain corpus boundaries.

MIT researchers previously demonstrated a robotic arm that combines visual information and radio frequency (RF) signals to find hidden objects that were tagged with RFID tags (which reflect signals sent by an antenna). Building off that work, they have now developed a new system that can efficiently retrieve any object buried in a pile. As long as some items in the pile have RFID tags, the target item does not need to be tagged for the system to recover it. The algorithms behind the system, known as FuseBot, reason about the probable location and orientation of objects under the pile. Then FuseBot finds the most efficient way to remove obstructing objects and extract the target item.

When I mention AI (Artificial Intelligence) machines can smell now, my friends exclaim with the statement of "So What"! The best way is to explain to them the importance of smell in our lives. This article introduces considerable research to olfactory development in computer science and engineering at a high level and points out recent developments in the industry. I also touch on potential use cases and business value propositions. Let me give you a high-level background to digital scent technology as part of the technical literature review that I conducted reflecting olfactory progress in AI.

Getting executives to talk about the potential of much-hyped artificial intelligence (AI) is one thing; getting them to explain how it might work in their business is often another issue altogether. But Julie Dodd, director of digital transformation and communication at Parkinson's UK, is not only able to talk about how AI might change the game in terms of research and service delivery, she's also able to point to uses cases in her own organisation where emerging technology is already producing life-changing benefits. Parkinson's UK is using their machine-learning platform to search for drugs that might offer a potential cure to the condition. The charity won the partnership in a competition through the Association of Medical Charities. Applicants were asked to submit proposals that demonstrated how BenevolentAI's technology could solve specific research challenges.

This is the incredible moment a social worker takes her first steps in 14 years - with the help of an £80,000 robotic suit. Lucy Dodd, from Aldershot, was suddenly struck by a rare congenital malformation of blood vessels and left paralysed from the waist down as a teenager. But now the social worker, who has been wheelchair-bound since she was 19, can move her legs again through a revolutionary exoskeleton. In moving footage of her using the bionic contraption that allows paraplegics to stand and move, Ms Dodd can be seen striding out. The 34-year-old is now desperately trying to raise the five-figure sum for the ReWalk exoskeleton in order to get her mobility back.

Some secrets are buried too deep to get at. Ocean fronts deep below the surface, where distinct masses of water come together, are hard to study. But a marine robot and its submarine buddy might be about to change that. Thomas, an uncrewed boat designed and built near Portsmouth, UK, is embarking on a two-week mission to record data from such hard-to-reach waters. The main goal is to study oceanographic fronts, boundaries between two distinct water masses, which are common in the seas around the UK.