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5 Sep 2021: IntellegensTraining deep neural networks on fragmented data. A new deep neural network technology thatReduces product development costs. ... Gives 400x the potential to discover new drugs. Second phase of project underway, active discussions on future

4 Apr 2021:

16 Jun 2021: The process works thus for ordinary, humdrum papers, but papers with new ideas are liable to be caught by the rigid mechanism devised by the archive's founder, intended to maintain

31 Mar 2021: About. Research. People. Events. Join us. Impact. Nick Woods. Nick Woods. Member of Clare College. PhD student in Dr Hasnip's group. Office: 543 Mott Bld. Phone: 44(0)1223 3 37466. Email: nw361 @ cam.ac.uk. ORCID: 0000-0002-5913-2206. TCM Group,

29 Jun 2021: Optibrium Publishes Major Peer-Reviewed Study on AI Applications t. https://www.optibrium.com/news/optibrium-publishes-major-peer-rev. 1 of 4 29-Jun-21, 4:00 PM. ... Optibrium Publishes Major Peer-Reviewed Study on AI Applications t. https://www.optibrium

10 Sep 2021: Realistically split holdout data set, extrapolate to new chemical space, and calculate the accuracy. ... identify new hits. Take Alchemite to market with Optibrium. gareth@intellegens.ai. Slide 1.

7 Nov 2021: Materials and drugs discoverywith deep learning. Using a new deep learning technology developed at the University of Cambridge, we analyse big, fragmented datasets, with a small number of well-characterized records, ... Our new algorithm can extract an

19 Dec 2021: including offering new insights into drug discovery data to identify opportunities for new drugs and streamline the drug discovery process [1]. ... Fragrance ingredient development currently requires human panel-based trials. Critical for the success of

11 Sep 2021: Load data1. Training2. Design3. intellegens.ai. Machine learning for materials design. Merge sparse databases to deliver deep insights into new materials.

7 Nov 2021: Realistically split holdout data set, extrapolate to new chemical space. Impute missing entries in new chemical space. ... Realistically split holdout data set, extrapolate to new chemical space, and calculate the accuracy.

12 Mar 2021: About. Research. People. Events. Join us. Impact. Michael Hutcheon. Michael Hutcheon. Member of Hughes Hall. PhD student in Prof Needs' group. Office: 543 Mott Bld. Phone: 44(0)1223 3 37466. Email: mjh261 @ cam.ac.uk. TCM Group,

25 May 2021: They dominate, and make very rich, the mechanics of these new materials. ... We are also exploring exploitation of these new, rule-breaking phenomena for actuation, energy recovery, medical devices, chiral separation,.

15 Jul 2021: A new Cambridge experiment sheds light on an exotic state of matter that has defied discovery for decades. ... In the new experiment, the researchers study a proposed candidate material by exciting it with an intense laser pulse which generates "ripples"

7 Sep 2021: 57, 2077 (2017). Want to impute missing entries. Validate using a realistically split holdout data set, extrapolate to new chemical space. ... Neural networks for materials design. Materials designed. Summary. Impute values in sparse matrix to high

19 Oct 2021: new avenues in the rapidly growing field of non-equilibrium many-body dynamics. ... Text readapted from Cambridge Research News.

30 Nov 2021: Accelerate discovery and validation to 2 years. Additive manufacturing requires new alloys.

27 Feb 2021: y ge Q J. de4 n. new fixed. fit. y 2 7 e Oci.

26 Jan 2021: This new processor offered 64-bit operation, and clock speeds of over 100MHz. ... This new cluster completely replaced the original. Since then it has been upgraded incrementally.

26 Mar 2021: Canfield and Adam Kaminski. Recent experiments provide evidence for a new weak topological insulator with unusal dispersion features.

24 May 2021: Combustor in a jet engine. Direct laser deposition requires new alloys.