machine learning

A team of researchers from Shanghai Jiao Tong University and the Chinese Academy of Sciences has developed a new artificial intelligence-based model for retrieving atmospheric carbon dioxide (CO₂) concentrations from satellite data. The Spectrum Transformer (SpT) model is designed to address long-standing challenges in real-time global CO₂ monitoring. Published in the Journal of Remote Sensing,…

A new player has entered the fragrance industry, aiming to use artificial intelligence in scent creation. Osmo, a company founded by former Google AI researcher Alex Wiltschko, has launched “Generation,” a project that applies machine learning to various aspects of fragrance development, from ingredient design to market analysis. While the potential of AI in this…

The race for AI adoption is reshaping the R&D workforce, with AI Engineer (#1) and AI consultant (#2) securing top spots in LinkedIn’s 2025 Jobs on the Rise report. Meanwhile, sustainability specialist (#9) and semiconductor-oriented roles such as instrumentation & control engineer (#24) reflect continued growth in both “pure tech” and physical-world sectors. Although AI…

As tech giants use AI to automate traditional coding tasks, companies are simultaneously cutting lower-performing roles while competing for AI talent—creating a two-track job market where AI expertise increasingly defines career prospects. During a recent interview on “The Joe Rogan Experience,” Meta CEO Mark Zuckerberg dished on the company’s plans for its continued push into…

For decades, the Nyquist-Shannon theorem—a foundational principle of signal processing—dictated that fully sampling a signal at or above twice its highest frequency was essential for capturing critical information. Now, a Pennsylvania startup called Lightscline suggests we may be entering a “post-Nyquist era.” According to a recent Nature Scientific Reports paper, the company’s neural-network-based software, inspired…

2024 may potentially be the year that genAI hype peaked. But the momentum around the subject continues to be intense. In a query of Elsevier’s Scopus database, generative AI had a CAGR of 313.3% from 2019 when there were four publications on the subject. As of November 27, there were 4,821 papers featuring the subject…

Amazon recently doubled down on its Anthropic investment with an additional $4 billion, while NVIDIA reported another quarter of remarkable growth with sales hitting $35.1 billion. Meanwhile, a debate emerged at the Cerebral Valley AI Summit about whether AI development is hitting a scaling wall, with industry leaders like Anthropic’s Dario Amodei and Scale AI’s Alexandr…

In many respects, 2024 was a year of building upon the foundations laid by previous technological and scientific advances. While AI continued to evolve at a rapid clip, progress was in many ways more incremental than last year when GPT-4 redefined expectations for genAI. But AI continues to make definable improvements across a range of…

In a world rapidly adapting to artificial intelligence (AI), large language models (LLMs) like ChatGPT and DALL-E are changing the landscape of creativity and communication. Instead of relying on code, users can now interact with these “chatbot” models by asking questions in plain language and receiving instant responses. Yet, while LLMs have already altered how…

Remember when DeepBlue mastered chess and AlphaGo conquered the game of Go, the board game with more moves than particles in the known universe? Or what about when cars learned to drive themselves? Reinforcement learning (RL) plays an essential role in each of these examples. RL is having a significant impact on R&D across an…

Let’s face it: Half the people spouting off about AI couldn’t tell a neural network from an Einstein-inspired crochet pattern, even if it came with a step-by-step YouTube tutorial. Sure, ChatGPT might have launched back in 2022, but many of us are still floundering in a sea of AI buzzwords more confusing than quantum physics.…

Geoffrey Hinton, often hailed as the “Godfather of AI,” sees AI as a sort of Pandora’s box. And he worries that he helped pioneer may be on the verge of getting “smarter than us.” “There are many ways in which this could happen,” he said in a keynote at the AI4 event in Las Vegas.…

Can a machine truly understand? AI pioneer Geoffrey Hinton, Ph.D. believes the answer is a firm yes when it comes to large language models (LLMs), and it’s precisely this understanding that has him deeply concerned. “It’s very clear that we understand language in much the same way as these large language models,” Hinton said in…

What if scientific breakthroughs could happen without a scientist running every experiment? A new AI development at Argonne National Laboratory takes a concrete step toward that vision, “marking a concrete step towards autonomous materials discovery,” as a recent Nature Communications’ paper notes. The field of material science is facing something of a quandary as the…

One of the unsung heroes of the recent explosion in interest in AI — especially in terms of large language models and natural language processing — is the word embedding. Representing a vector of real numbers, embeddings have been around in one or another since for decades. In the 1980s and 1990s, researchers explored a…

Traditionally, physicians have relied on subjective observations and specialized equipment to gauge balance in individuals with conditions such as Parkinson’s disease, neurological injuries, and age-related decline. Such methods — especially subjective ones — can lack precision, are difficult to administer remotely, and can be inconsistent. To address such limitations, researchers from Florida Atlantic University have…

What do frictionless parking experiences and life-saving drugs have in common? For data scientist June Guo, the answer lies in setting AI algorithms loose on vast troves of data. Before setting his sights on human biology, Guo worked at Metropolis Technologies, a company focused on transforming the parking experience through the use of advanced computer…

Imagine a future where researchers discover groundbreaking materials with properties exceeding conventional expectations at an unprecedented pace. Researchers at Oak Ridge National Laboratory (ORNL) are turning this vision into reality with a groundbreaking autonomous materials synthesis tool. The system marries the power of AI, automated experimentation, and real-time diagnostics to accelerate the hunt for new…

From predicting market trends to personalizing user experiences, data scientists are increasingly focused not just on analytics and insights but also on playing a role in building the core technologies and intelligent features that will define next-generation products and services. The title is steadily transforming from a behind-the-scenes analytical function to a driving force shaping…