Can we open the black box of AI?
- D. Castelvecchi
- Medicine, Computer ScienceNature
- 6 October 2016
Low-cost headsets boost virtual reality’s lab appeal
- D. Castelvecchi
- Psychology, Computer ScienceNature
- 12 May 2016
Quantum computers ready to leap out of the lab in 2017
- D. Castelvecchi
- PhysicsNature
- 5 January 2017
The quantum-computing start-up scene is heating up, and Google and Microsoft hope this year to perform a computation that is beyond even the most powerful 'classical' supercomputers — an elusive milestone known as quantum supremacy.
IBM's quantum cloud computer goes commercial
- D. Castelvecchi
- PhysicsNature
- 9 March 2017
Company plans a bigger, better system aimed at creating a market for the still-immature technology.
Paradox at the heart of mathematics makes physics problem unanswerable
- D. Castelvecchi
- Physics, PhilosophyNature
- 9 December 2015
Gödel’s incompleteness theorems are connected to unsolvable calculations in quantum physics.
Gravitational waves: How LIGO forged the path to victory
- D. Castelvecchi
- PhysicsNature
- 18 February 2016
Historic discovery of ripples in space-time meant ruling out the possibility of a fake signal.
Einstein's gravitational waves found at last
- D. Castelvecchi, A. Witze
- Physics, EducationNature
- 11 February 2016
LIGO 'hears' space-time ripples produced by black-hole collision.
Chemistry Nobel honours world-changing batteries
- D. Castelvecchi, Emma Stoye
- Environmental ScienceNature
- 9 October 2019
John Goodenough, Stanley Whittingham and Akira Yoshino receive the prize for their development of lithium-ion rechargeable batteries. John Goodenough, Stanley Whittingham and Akira Yoshino receive…
Physics paper sets record with more than 5,000 authors
- D. Castelvecchi
- PhysicsNature
- 15 May 2015
Detector teams at the Large Hadron Collider collaborated for a more precise estimate of the size of the Higgs boson.
Deep learning boosts Google Translate tool
- D. Castelvecchi
- BusinessNature
- 27 September 2016
Internet giant's latest service employs neural networks to cut error rate by 60% and aims to reduce the number of errors by up to 60% by 2020.
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