With more than 2 billion ICEs with many still operating in 2050, the technology will have to be banned to achieve net-zero by mid-century.
Google has described how the researchers have combined machine learning and semantic engines to develop a novel Transformer-based hybrid semantic ML code completion. The increasing complexity of code poses a key challenge to productivity in software engineering. Code completion has been an essential tool that has helped mitigate this complexity in integrated development environments. Intelligent code completion is a context-aware code completion feature in some programming environments that speeds up the process of coding applications by reducing typos and other common mistakes.
Google AI’s latest research explains how they combined machine learning and semantic engine SE to develop a novel transformer-based hybrid semantic ML code completion. A revolutionary Transformer-based hybrid semantic code completion model that is now available to internal Google engineers was created by Google AI researchers by combining ML with SE. The researchers’ method for integrating ML with SEs is defined as re-ranking SE single token proposals with ML, applying single and multi-line completions with ML, and then validating the results with the SE.
A common approach to code completion is to train transformer models, which use a self-attention mechanism for language understanding, to enable code understanding and completion predictions. Additionally, google suggested employing ML of single token semantic suggestions for single and multi-line continuation. Over three months, more than 10,000 Google employees tested the model in eight programming languages.
Security researchers found a new service called Dark Utilities that provides an easy and inexpensive way for cybercriminals to set up a command and control (C2) center for their malicious operations.
The Dark Utilities service provides threat actors a platform that supports Windows, Linux, and Python-based payloads, and eliminates the effort associated with implementing a C2 communication channel.
A C2 server is how adversaries control their malware in the wild, sending out commands, configurations and new payloads, and receiving data collected from compromised systems.
Companies specializing in cutting-edge construction techniques are aiming to make a difference by churning out high-quality homes at a lower cost than traditional industry standards. Among these are 3D printed homes, “foldable” homes, and homes that ship in kits then are assembled like Ikea furniture.
Now a new player is joining the list, and it just got a serious financial boost. Vantem Global has already helped construct a total of over three million square feet of living space in six different countries, and earlier this month closed a Series A funding round co-led by Breakthrough Energy Ventures (Breakthrough was founded by Bill Gates in 2015 to invest in sustainable energy and emissions-reduction technologies).
Vantem’s energy-efficient prefabricated homes are made of structural panels. The panels were designed as a replacement for brick and cement, which are expensive, difficult to make, and heavy on emissions. Each panel consists of an insulating layer sandwiched by tiles made of a cement-like material. Since the panels are more similar to cement than wood or plastic are, they’re more likely to be positively perceived by customers who are used to cement (as many in Latin America are, where Vantem has thus far focused most of its construction).