Securing systems for the quantum era
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Welcome to The Short, IBM Research's recap of the latest innovations in AI, quantum computing, semiconductors, and the cloud.
Week of August 12 - 19, 2024
In this week's edition:
NIST’s post-quantum cryptography standards are here
Earlier this week, the US National Institute of Standards and Technology (NIST) published the first set of post-quantum cryptography standards, formalizing three algorithms to strengthen modern public-key cryptography infrastructure for the quantum era. We’re proud to share that two of the standards were developed by IBM cryptography researchers in Zurich with external collaborators, and a third was co-developed by a scientist who has since joined IBM.
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Watch this panel discussion with IBM cryptography experts to learn more about the importance of the NIST standards:
Check out what Dr. Alessandro Curioni, VP Europe and Africa and Director IBM Research Zurich, had to say on the news:
IBM Granite leads open-source LLMs on API calling
IBM's Granite 20B model recently cracked the top 10 on the most challenging API-calling benchmark,?University of California, Berkeley’s Function-Calling Leaderboard. IBM Granite is currently the top open-source model on the list, and in ninth place overall. The ability to call an API from a conversational prompt has become an important measure of LLM competency and an essential skill on the path to deploying LLMs as AI agents.
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Detecting health and science misinformation with AI
MISSCI is an AI tool designed to detect health and science misinformation. It analyzes scientific references to determine whether they support or contradict health and science claims on social media and in the press. The tool, which was presented last week at the annual meeting of the Association for Computer Linguistics (ACL), has shown promise in identifying certain types of logical fallacies, particularly when given false premises and prompted to explain why a statement is false.
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Teaching AI models to improve themselves
AI models are good at a lot of things, but they struggle to check their own work for consistency and accuracy. Several teams at IBM Research have devised new ways that AI models can be recruited to improve their own performance in these areas. One technique, called deductive closure training, generates text and evaluates it against training data. Another, called self-specialization, turns a generalist model into a subject matter expert with a small number of human-written documents. Both were presented last week at ACL.
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Check out all the ACL 2024 papers authored by IBM researchers on our publication catalog:
Research Roundup
Highlighting new publications from IBM researchers that we liked the sound of:
IBM Research History
On August 14, 1991, IBM researchers Donald M. Eigler, Christopher P. Lutz, and William E. Rudge demonstrated a new type of electrical switch that relies on the motion of a single atom. Check out "This Day" in IBM Research History to learn more about this milestone:
We hope you’re enjoying The Short. Let us know your burning questions from this week’s edition, whether that’s about open-source LLMs, quantum-safe algorithms, more helpful AI systems, or whispering flamingoes.
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5 个月Quantum mechanics is a deepfake. People cannot directly see electron, neutron, quark etc. If there is no time, there is no momentum and energy. So, momentum and energy represent time. Matter represents space. Modern science has a huge space and time confusion. Modern biology and chemistry are deepfakes. Molecular formula is a sign language which can only represent matters. People can only see matter but cannot see molecular formula because molecular formula is not a reality. For example, carbon dioxide can be understood as three nitrogen two hydrogen which is acid. Carbohydrate can be understood as Azide compounds. Three nitrogen two hydrogen can be absorbed more easily by Azide compounds. The chemical formulas are depended on human's understandings. There are many ways to define chemical formula. We just achieve common views on chemical formula.
"Be curious about everything, Never stop learning, Never stop growing."
7 个月Securing systems for the quantum era involves developing advanced cybersecurity measures that can withstand the potential threat posed by quantum computers. As quantum computing technology continues to advance, traditional encryption methods may become vulnerable to hacking. Therefore, securing systems for the quantum era requires innovative approaches and robust security protocols that can effectively protect sensitive data and information from potential breaches in a future where quantum computing becomes more prevalent.