Developing Hands-on Labs for Source Code Vulnerability Detection with AI
Vulnerability detection tutorials
Vulnerability detection tutorials
Google announces Bard, an experimental conversational AI service, powered by LaMDA. "Today, we’re taking another step forward by opening it up to trusted testers".
Google
An important next step on our AI journey
Introducing Bard (now Gemini), Google's conversational AI service — plus, new AI features in Search.
ICSE 2023, Technical Track, Accepted Papers: https://conf.researchr.org/track/icse-2023/icse-2023-technical-track#event-overview
conf.researchr.org
ICSE 2023 - Technical Track - ICSE 2023
Call for Papers
ICSE is the premier forum for presenting and discussing the most recent and significant technical research contributions in the field of Software Engineering. In the technical track, we invite high quality submissions of technical research…
ICSE is the premier forum for presenting and discussing the most recent and significant technical research contributions in the field of Software Engineering. In the technical track, we invite high quality submissions of technical research…
ICSE 2023, NIER - New Ideas and Emerging Results, Accepted Papers:
https://conf.researchr.org/track/icse-2023/icse-2023-NIER#event-overview
https://conf.researchr.org/track/icse-2023/icse-2023-NIER#event-overview
conf.researchr.org
ICSE 2023 - NIER - New Ideas and Emerging Results - ICSE 2023
Call for Papers
The New Ideas and Emerging Results (NIER) track at ICSE provides a vibrant forum for forward-looking, innovative research in software engineering. Our aim is to accelerate the exposure of the software engineering community to early yet…
The New Ideas and Emerging Results (NIER) track at ICSE provides a vibrant forum for forward-looking, innovative research in software engineering. Our aim is to accelerate the exposure of the software engineering community to early yet…
ICSE 2023, FoSE - Future of Software Engineering
https://conf.researchr.org/track/icse-2023/fose
https://conf.researchr.org/track/icse-2023/fose
conf.researchr.org
ICSE 2023 - FoSE - Future of Software Engineering - ICSE 2023
This special Future of Software Engineering track will feature presentations and discussions from top researchers and industry leaders on some key directions in future software engineering. The track is part of the main ICSE programme, planned for one 90…
The ICSE'23 Workshop on Cloud Intelligence / AIOps
https://cloudintelligenceworkshop.org/
https://cloudintelligenceworkshop.org/
cloudintelligenceworkshop.org
Cloud Intelligence / AIOps The Workshop
Conference project
SantaCoder: Don't reach the stars!
The BigCode project is an open-scientific collaboration working on the responsible development of large language models for code. The authors train 1.1B parameter models on the Java, JavaScript, and Python subsets of The Stack and evaluate them on the MultiPL-E text-to-code benchmark. They find that more aggressive filtering of near-duplicates can further boost performance and, surprisingly, that selecting files from repositories with 5+ GitHub stars deteriorates performance significantly. Best model outperforms previous open-source multilingual code generation models (InCoder-6.7B and CodeGen-Multi-2.7B) in both left-to-right generation and infilling on the Java, JavaScript, and Python portions of MultiPL-E, despite being a substantially smaller model. All models are released under an OpenRAIL license at https://hf.co/bigcode.
The BigCode project is an open-scientific collaboration working on the responsible development of large language models for code. The authors train 1.1B parameter models on the Java, JavaScript, and Python subsets of The Stack and evaluate them on the MultiPL-E text-to-code benchmark. They find that more aggressive filtering of near-duplicates can further boost performance and, surprisingly, that selecting files from repositories with 5+ GitHub stars deteriorates performance significantly. Best model outperforms previous open-source multilingual code generation models (InCoder-6.7B and CodeGen-Multi-2.7B) in both left-to-right generation and infilling on the Java, JavaScript, and Python portions of MultiPL-E, despite being a substantially smaller model. All models are released under an OpenRAIL license at https://hf.co/bigcode.
Packing Unit Squares in Squares: A Survey and New Results
Let s(n) be the side of the smallest square into which we can pack n unit squares. The paper presents a history of this problem, and gives the best known upper and lower bounds for s(n) for n ≤ 100, including the best known packings.
Best known packings: https://erich-friedman.github.io/packing/squinsqu/
Let s(n) be the side of the smallest square into which we can pack n unit squares. The paper presents a history of this problem, and gives the best known upper and lower bounds for s(n) for n ≤ 100, including the best known packings.
Best known packings: https://erich-friedman.github.io/packing/squinsqu/
Bing’s A.I. Chat: 'I Want to Be Alive'
In a two-hour conversation with our columnist, Microsoft’s new chatbot said it would like to be human, had a desire to be destructive and was in love with the person it was chatting with.
In a two-hour conversation with our columnist, Microsoft’s new chatbot said it would like to be human, had a desire to be destructive and was in love with the person it was chatting with.
NY Times
Bing’s A.I. Chat: ‘I Want to Be Alive. 😈’ (Published 2023)
In a two-hour conversation with our columnist, Microsoft’s new chatbot said it would like to be human, had a desire to be destructive and was in love with the person it was chatting with. Here’s the transcript.
Transformer models: an introduction and catalog
Comprehensive and simple catalog and classification of the most popular Transformer models.
Table: https://docs.google.com/spreadsheets/d/1ltyrAB6BL29cOv2fSpNQnnq2vbX8UrHl47d7FkIf6t4/
Comprehensive and simple catalog and classification of the most popular Transformer models.
Table: https://docs.google.com/spreadsheets/d/1ltyrAB6BL29cOv2fSpNQnnq2vbX8UrHl47d7FkIf6t4/
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Amazon’s Cloud Unit Partners With Startup Hugging Face as AI Deals Heat Up
Amazon.com Inc.’s cloud unit is expanding a partnership with artificial intelligence startup Hugging Face Inc., which is developing a ChatGPT rival, the latest move as the biggest technology firms line up allies in an attention-getting market for generative AI systems.
Amazon.com Inc.’s cloud unit is expanding a partnership with artificial intelligence startup Hugging Face Inc., which is developing a ChatGPT rival, the latest move as the biggest technology firms line up allies in an attention-getting market for generative AI systems.
Bloomberg.com
Amazon’s Cloud Unit Partners With Startup Hugging Face as AI Deals Heat Up
Amazon Web Services will offer the startup’s products to its customers and run its next large language tool
LLaMA is a collection of large language models ranging from 7B to 65B parameters [The FAIR team of Meta AI].
In order to download the checkpoints and tokenizer, fill google form
In order to download the checkpoints and tokenizer, fill google form
ITISE 2023: International Conference on Time Series and Forecasting
July 12th-14th, 2023. Gran Canaria (SPAIN)
Call for papers: deadline extension 2023.03.20
Topics: https://itise.ugr.es/topics.html
July 12th-14th, 2023. Gran Canaria (SPAIN)
Call for papers: deadline extension 2023.03.20
Topics: https://itise.ugr.es/topics.html
itise.ugr.es
ITISE 2026
Debunking a myth: plant consciousness
Although it is widely believed that consciousness is an emergent property arising from complex networks of neurons, there is a hypothesis that plants have consciousness. In this paper, the authors present new arguments against plant consciousness, as well as new perspectives on past arguments.
Although it is widely believed that consciousness is an emergent property arising from complex networks of neurons, there is a hypothesis that plants have consciousness. In this paper, the authors present new arguments against plant consciousness, as well as new perspectives on past arguments.
FinerBench4BL: Large-Scale Evaluation of Method-Level Bug Localization with FinerBench4BL
FinerBench4BL is an evaluation framework for method-level information retrieval-based bug localization techniques, and a comparative study using this framework.
FinerBench4BL is an evaluation framework for method-level information retrieval-based bug localization techniques, and a comparative study using this framework.
The 16th Annual AGI Conference
The AGI conferences, since the first one way back in 2008, have been organized by the Artificial General Intelligence Society. The 16th annual AGI conference (AGI-23) will be held as a mixed virtual/F2F event in Stockholm between June 16 and June 19, 2023.
Final Deadline for submitted Papers: March 12, 2023
Appropriate topics for contributed papers include, but are not restricted to:
AGI Architectures
Autonomy and Creativity
Benchmarks and Evaluation
Cognitive Modeling
Multi-Agent Interaction and Collaborative Intelligence
Theoretical Foundation of General Intelligence
Broader Implications of AGI
Knowledge Representation
Reinforcement and Learning Theory
Motivation, Emotion and Affect
Natural Language Understanding
Neurosymbolic AI
Perception and Perceptual Modeling
Reasoning, Inference and Planning
Robotic and Virtual Agent
Simulation and Evolutionary Computation
The AGI conferences, since the first one way back in 2008, have been organized by the Artificial General Intelligence Society. The 16th annual AGI conference (AGI-23) will be held as a mixed virtual/F2F event in Stockholm between June 16 and June 19, 2023.
Final Deadline for submitted Papers: March 12, 2023
Appropriate topics for contributed papers include, but are not restricted to:
AGI Architectures
Autonomy and Creativity
Benchmarks and Evaluation
Cognitive Modeling
Multi-Agent Interaction and Collaborative Intelligence
Theoretical Foundation of General Intelligence
Broader Implications of AGI
Knowledge Representation
Reinforcement and Learning Theory
Motivation, Emotion and Affect
Natural Language Understanding
Neurosymbolic AI
Perception and Perceptual Modeling
Reasoning, Inference and Planning
Robotic and Virtual Agent
Simulation and Evolutionary Computation
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ChatML
OpenAI released ChatGPT API with Chat Markup Language. The basic idea behind ChatML is ensure the LLM model inputs are sent in structured format following ChatML and not as unstructured text.
https://github.com/openai/openai-python/blob/main/chatml.md
OpenAI released ChatGPT API with Chat Markup Language. The basic idea behind ChatML is ensure the LLM model inputs are sent in structured format following ChatML and not as unstructured text.
https://github.com/openai/openai-python/blob/main/chatml.md
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Cops: An Improved Information Retrieval-Based Bug Localization Technique Using Context-Aware Program Simplification
Authors propose a context-aware program simplification technique, which enables statement-level bug localization for Python-based projects. They evaluate COPS on the PyTraceBugs benchmark and compare it to state of-the-art techniques by using four widely used metrics.
Authors propose a context-aware program simplification technique, which enables statement-level bug localization for Python-based projects. They evaluate COPS on the PyTraceBugs benchmark and compare it to state of-the-art techniques by using four widely used metrics.
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