In today’s era of digital transformation, generative artificial intelligence is reshaping how machine learning models are developed beginning with feature engineering. Vineetha Sasikumar, a passionate ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

Read the new whitepaper from the Microsoft AI Red Team to better understand the taxonomy of failure mode in agentic AI.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized ...

As the final deadline for junior papers approaches on April 29, juniors will be wrapping up their work and readying ...

Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts.

As Internet of Things (IoT) devices proliferate in sectors like smart cities, health care, and industrial systems, they have ...

A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber threats targeting Internet of Things (IoT) devices. By combining machine ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Syntegon has launched its Pack 103 entry-level flow wrapping machine designed to offer efficiency and ease of use to small and medium-sized businesses, with an output of up to 175 packs per minute.

Alphabet is a massive cash flow machine with an under-leveraged balance sheet. With EBITDA margins of 35-40%, Alphabet ended 2024 generating over $70 billion in free cash flow and amassed a net ...