| University of Oxford

Lessons from Nature's motors

Life of a revolutionary

‘He saved lives but didn’t touch anyone. He took medicine out of the lab and put it in society.'

Science in stitches: Darwin's Leftovers

Do we need dark matter?

It’s the biggest problem in physics: the matter we can see in the universe accounts for just five per cent of the observed gravity that holds galaxies together.

Test spots dementia warning signs

A story earlier this week gave hope that a new method might be sensitive and reliable enough to help predict who will develop early memory problems that could later lead to dementia.

BBC News online reported that ‘memory and language tests can reliably reveal “hidden” early dementia’.

Fossil webs snagged dinosaurs

At Halloween our thoughts turn to spiders and all things scary but how about spiders and dinosaurs?

Martin Brasier of Oxford University's Department of Earth Sciences has shown that amber found by amateur dinosaur hunters contains threads of the world's oldest spider webs - webs that were spun 140 million years ago.

The rewards of serendipity

When, in 1985, Mark Moloney began to investigate how penicillin was formed he didn’t imagine that it would lead to advances in polymer chemistry and a new spin out firm employing 17 people.

Swine flu science: the story so far

When the first reports of swine flu cases in Mexico emerged in early April, it wasn’t just health authorities and governments that leapt into action. Researchers – including many at Oxford – also rushed to find out more about the new flu virus and its spread to help guide public health responses in the UK and worldwide.

Horizon: meet your self

How do we know who we are?

In tonight's Horizon Oxford mathematician Marcus du Sautoy explores this age-old question and comes up with some surprising answers thanks to the latest scientific discoveries about consciousness. 

Computers look for meaning

Finding the meaning behind the words we use is something humans are so good at that it often seems simple.

But for computers, understanding the emotions embedded in text is a very difficult task.

I spoke to Stephen Pulman of Oxford University's Computing Laboratory about his research which is helping computers to see what we mean: