Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Tech Xplore on MSN

Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

AI is failing ‘Humanity’s Last Exam’. So what does that mean for machine intelligence?

How do you translate ancient Palmyrene script from a Roman tombstone? How many paired tendons are supported by a specific ...
Mint

Move beyond the generic path and anchor skills to work goals to build a smarter learning road map

January is a propitious month for setting learning goals—not just because it’s in human nature to want to start the new year with positive resolutions. It’s also the beginning of the last quarter of ...

Keeping long-term climate simulations stable and accurate with a new AI approach

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Frontiers

Machine Learning, AI, and Robotics in Musculoskeletal Rehabilitation

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
Hosted on MSN

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Wall Street Journal

Claude Is Taking the AI World by Storm, and Even Non-Nerds Are Blown Away

It’s the moment software engineers, executives and investors turn their work over to Anthropic’s Claude AI—and then witness a thinking machine of shocking capability, even in an age awash in powerful ...