Machine

Behrooz Tahmasebi — an MIT PhD student within the Department of Electrical...

What would you say it's you do here?Now that lots of us are returning to the office and getting back into the swing after a winter break, I actually have been pondering a bit...

Instances of normal intervals between earthquakes of comparable magnitudes have been noted somewhere else, including Hawaii, but these are the exception, not the rule. Way more often, reoccurrence intervals are given as averages...

Nora Petrova, is a Machine Learning Engineer & AI Consultant at Prolific. Prolific was founded in 2014 and already counts organizations like Google, Stanford University, the University of Oxford, King’s College London and the European...

There isn't a quick-fix to closing this expectation-reality gap, but step one is to foster honest dialogue between teams. Then, business leaders can begin to democratize ML across the organization. Democratization means each...

Once these components are in place, more complex LLM challenges would require nuanced approaches and considerations—from infrastructure to capabilities, risk mitigation, and talent. Deploying LLMs as a backend Inferencing...

IBM reveals that just about half of the challenges related to AI adoption concentrate on data complexity (24%) and difficulty integrating and scaling projects (24%). While it could be expedient for...

Similarly, there may be a two-way street describing the partnership between AI and humans. An argument might be made that digital art involves the addition of a number of extra technical skills to the...