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HackerRank's programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, and JavaScript) and span multiple computer science domains. [ 2 ] HackerRank categorizes most of their programming challenges into a number of core computer science domains, [ 3 ] including database management ...
Meta Hacker Cup (formerly known as Facebook Hacker Cup) is an annual international programming competition hosted and administered by Meta Platforms. The competition began in 2011 as a means to identify top engineering talent for potential employment at Meta Platforms. [ 2 ]
Google Code Jam was an international programming competition hosted and administered by Google. [2] The competition began in 2003. [3] The competition consists of a set of algorithmic problems which must be solved in a fixed amount of time.
HackerEarth is a software company headquartered in San Francisco that provides enterprise software that assists organizations with technical hiring. [1] HackerEarth is used by organizations for technical skill assessments and remote video interviewing.
CodiumAI by CodiumAI, small startup in Tel Aviv, offers automated test creation. Currently supports Python, JS, and TS. [361] Ghostwriter by Replit offers code completion and chat. [362] They have multiple pricing plans, including a free one and a "Hacker" plan for $7/month.
Human feedback is commonly collected by prompting humans to rank instances of the agent's behavior. [15] [17] [18] These rankings can then be used to score outputs, for example, using the Elo rating system, which is an algorithm for calculating the relative skill levels of players in a game based only on the outcome of each game. [3]
One of the earliest and most notorious black hat hacks was the 1979 hacking of The Ark by Kevin Mitnick. The Ark computer system was used by Digital Equipment Corporation (DEC) to develop the RSTS/E operating system software. The WannaCry ransomware attack in May 2017 is another example of black hat hacking. Around 400,000 computers in 150 ...
In this approach, the choice between one or the other solution is determined dynamically: first, a machine learning algorithm is used "offline", that is to say not at runtime, to build a heuristic function that determines which allocation algorithm needs to be used. The heuristic function is then used at runtime; in light of the code behavior ...