Futurum

FEBRUARY 7, 2023

Though we work long and sometimes unsociable hours, we have a good degree of flexibility. “I I think I’ve achieved a lot. Having a fundamental understanding of the underlying biology is critical when translating discoveries from the lab to the clinic,” she explains. “We

Biology 98

Biology Research Research Physics 98

Futurum

OCTOBER 3, 2023

To overcome this, they made the NEP dynamic and flexible so that it could be adapted depending on the age and interests of the students taking part. Meet David I majored in anthropology and biology at university. Emmanuel and David wanted to interact with children and young people from a variety of age groups. It is very satisfying. •

Agriculture 87

Agriculture Biology Research Research 87

Futurum

SEPTEMBER 5, 2023

In goal-based training, individuals set their own goals associated with reading and we design activities to help them achieve them.” There is a lot of ‘tradition’ with regards to ideas and approaches, which I feel can sometimes impede our ability to move science forward efficiently.

Research 96

Research Research Communications Biology 96

Stephen Wolfram

JANUARY 31, 2023

But, first and foremost, the story of the Second Law is the story of a great intellectual achievement of the mid-19th century. There’s a discussion about H for systems that interact, and how there’s an equilibrium value achieved. It’s exciting now, of course, to be able to use the latest 21st-century ideas to take another step.

Energy 88

Energy Physics Argumentation Mathematics 88

Stephen Wolfram

MARCH 7, 2022

And in what follows we’ll see the great power that arises from using this to combine the achievements and intuitions of physics and mathematics—and how this lets us think about new “general laws of mathematics”, and view the ultimate foundations of mathematics in a different light. 3 | The Metamodeling of Axiomatic Mathematics.

Mathematics 120

Mathematics Physics Computer Algebra 120

Stephen Wolfram

FEBRUARY 14, 2023

The fundamental idea of neural nets is to create a flexible “computing fabric” out of a large number of simple (essentially identical) components—and to have this “fabric” be one that can be incrementally modified to learn from examples. OK, but how does a neural net like this “recognize things”?

Computer 145

Computer Architecture Mathematics Construction 145