DUAL-ACTION CANCER-KILLING VIRUS DEVELOPED BY OXFORD SCIENTISTS
Scientists have equipped a virus that kills carcinoma cells with a protein so it can also target and kill adjacent cells that are tricked into shielding the cancer from the immune syste The virus targets carcinomas, which are the most common type of cancer and start in cells in the skin or tissues that line or cover internal organs. A microscope image of a human colorectal adenocarcinoma showing the fibroblasts (brown) surrounding the cancer cells (blue), protecting them from the immune system (PA/Medical Research Council).
Read moreSOME NOTES ABOUT HTTP/3
HTTP/3 is going to be standardized. As an old protocol guy, I thought I’d write up some comments. Google (pbuh) has both the most popular web browser (Chrome) and the two most popular websites (#1 Google.com #2 Youtube.com). Therefore, they are in control of future web protocol development. Their first upgrade they called SPDY (pronounced ‘speedy’), which was eventually standardized as the second version of HTTP, or HTTP/2. Their second upgrade they called QUIC (pronounced ‘quick’), which is being standardized as HTTP/3.
Read more“SCHRÖDINGER’S BACTERIUM” COULD BE A QUANTUM BIOLOGY MILESTONE
The quantum world is a weird one. In theory and to some extent in practice its tenets demand that a particle can appear to be in two places at once—a paradoxical phenomenon known as superposition—and that two particles can become “entangled,” sharing information across arbitrarily large distances through some still-unknown mechanism. Perhaps the most famous example of quantum weirdness is Schrödinger’s cat, a thought experiment devised by Erwin Schrödinger in 1935.
Read moreALPHABET UNIT HALTS GLUCOSE-DETECTING CONTACT LENS PROJECT
Alphabet Inc’s life sciences division Verily said on Friday that it was putting on hold one of its oldest and highest-profile projects, a smart contact lens designed to help monitor sugar levels. The project, started in 2014, aimed to help diabetics better manage their blood sugar levels by embedding sensors on a contact lens to monitor the glucose levels in their tears. In a blog update, Verily cited here insufficient consistency in the correlation between tear glucose and blood glucose concentrations to support the requirements of a medical device.
Read moreTHE TECHNOLOGY ENABLING ALIBABA TO SELL $30.8 BILLION IN DOUBLE 11 GOODS
In order for everything to stay up, Tmall.com and its ecosystem relied entirely on Alibaba’s technology portfolio, including the use of artificial intelligence (AI) to improve the shopping experience for buyers and sellers, as well as pushing Alibaba’s cloud infrastructure to the limit to process a high volume of transactions. Alibaba used an intelligent operating platform, DC Brain, to optimise the performance of the 200-plus global internet datacentres (IDCs) hosting its online stores in areas including energy consumption, temperature, energy efficiency, and reliability. Through machine learning, DC Brain can predict the electric consumption and Power Usage Effectiveness of each IDC in real time, allocating to each to reduce energy consumption.
Read morePYTHON DATA VISUALIZATION 2018: WHY SO MANY LIBRARIES?
This post is the first in a three-part series on the state of Python data visualization tools and the trends that emerged from SciPy 2018.By James A. BednarAt a special session of SciPy 2018 in Austin, representatives of a wide range of open-source Python visualization tools shared their visions for the future of data visualization in Python. We heard updates on Matplotlib, Plotly, VisPy, and many more. I attended SciPy 2018 as a representative of PyViz, GeoViews, Datashader, Panel, hvPlot and Bokeh, and my Anaconda colleague Jean-Luc Stevens attended representing HoloViews.
Read moreORGANISMS FOUND ON HIKE IN THE WOODS ARE LIKE NO OTHER LIFE ON EARTH
Canadian researchers have discovered a new kind of organism that’s so different from other living things that it doesn’t fit into the plant kingdom, the animal kingdom, or any other kingdom used to classify known organisms. Two species of the microscopic organisms, called hemimastigotes, were found in dirt collected on a whim during a hike in Nova Scotia by Dalhousie University graduate student Yana Eglit. A genetic analysis shows they’re more different from other organisms than animals and fungi (which are in different kingdoms) are from each other, representing a completely new part of the tree of life, Eglit and her colleagues report this week in the journal Nature.
Read moreLAB-GROWN ‘MINI BRAINS’ PRODUCE ELECTRICAL PATTERNS THAT RESEMBLE THOSE OF PREMATURE BABIES
The advancement could help scientists to study early brain development. Research in this area has been slow, partly because it is difficult to obtain fetal-tissue samples for analysis and nearly impossible to examine a fetus in utero. Many researchers are excited about the promise of these ‘organoids’, which, when grown as 3D cultures, can develop some of the complex structures seen in brains.
Read moreDECISION TREE IN MACHINE LEARNING
A decision tree is a flowchart-like structure in which each internal node represents a test on a feature (e.g. whether a coin flip comes up heads or tails), each leaf node represents a class label (decision taken after computing all features) and branches represent conjunctions of features that lead to those class labels. The paths from root to leaf represent classification rules. Below diagram illustrate the basic flow of decision tree for decision making with labels (Rain(Yes), No Rain(No)).
Read moreFIVE LESSONS FROM THE FIRST THREE YEARS OF MICHELANGELO
Uber has been one of the most active contributors to open source machine learning technologies in the last few years. While companies like Google or Facebook have focused their contributions in new deep learning stacks like TensorFlow, Caffe2 or PyTorch, the Uber engineering team has really focused on tools and best practices for building machine learning at scale in the real world. Technologies such as Michelangelo, Horovod, PyML, Pyro are some of examples of Uber’s contributions to the machine learning ecosystem.
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