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DeepMind AI achieves gold-medal level performance on challenging Olympiad math questions

A team of researchers at Google’s DeepMind project, reports that its AlphaGeometry2 AI performed at a gold-medal level when tasked with solving problems that were given to high school students participating in the International Mathematical Olympiad (IMO) over the past 25 years. In their paper posted on the arXiv preprint server, the team gives an overview of AlphaGeometry2 and its scores when solving IMO problems.

Prior research has suggested that AI that can solve geometry problems could lead to more sophisticated apps because they require both a high level of reasoning ability and an ability to choose from possible steps in working toward a solution to a problem.

To that end, the team at DeepMind has been working on developing increasingly sophisticated geometry-solving apps. Its first iteration was released last January and was called AlphaGeometry; its second iteration is called AlphaGeometry2.

Robot acrobatics: Mammal tails offer surprising design insights

Evolution is traditionally associated with a process of increasing complexity and gaining new genes. However, the explosion of the genomic era shows that gene loss and simplification is a much more frequent process in the evolution of species than previously thought, and may favor new biological adaptations that facilitate the survival of living organisms.

This evolutionary driver, which seems counter-intuitive—” less is more” in genetic terms—now reveals a surprising dimension that responds to the new evolutionary concept of “less, but more,” i.e., the phenomenon of massive gene losses followed by large expansions through gene duplications.

This is one of the main conclusions of an article published in the journal Molecular Biology and Evolution, led by a team from the Genetics Section of the Faculty of Biology and the Institute for Research on Biodiversity (IRBio) of the University of Barcelona, in which teams from the Okinawa Institute of Science and Technology (OIST) have also participated.

Sam Altman “MILLIONS of Software Engineering Agents” and “AGI in sight”

The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.

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Inside OpenAI’s $14 Million Super Bowl Ad

In today’s AI news, the OpenAI commercial, developed under new CMO Kate Rouch, deliberately avoids mentioning AGI or superintelligence, which are at the core of OpenAI’s mission. “We want the message to feel relevant to the audience that is watching the Super Bowl, which includes tens of millions of people who have no familiarity with AI,” Rouch said.

S $254-billion software industry by 45% over the next five years, according to a survey by consulting firm EY India. This boost will come through the dual effect of the IT industry integrating elements of GenAI and client projects move from concept to production. + Then, the French government plans Monday to pledge a gigawatt of nuclear power for a new artificial-intelligence computing project expected to cost tens of billions of dollars. France is making a bid to catch up in the artificial intelligence race by leaning on one of its strengths: plentiful nuclear power.

And, Canadian investment firm Brookfield plans to invest €20 billion by 2030 in artificial intelligence projects in France (around $20.7 billion at current exchange rates), according to a report from La Tribune Dimanche confirmed by news agency AFP. The majority of the sum will be used to build AI-focused data centers.

In videos, we join Adrian Locher, Merantix Capital, Wei Li, BlackRock, Scott Sandell, NEA, Rob Heyvaert, Motive Partners, and Guru Chahal, Lightspeed Venture Partners, discussing how to identify the next category-defining opportunities in AI across venture capital, private equity, and beyond?

Is what happens when millions of people get access to a transformational general purpose technology such as artificial intelligence, enabling superpowers that benefit both individuals and society.” + Then, check out the cutting-edge world of “hackbots”—AI agents designed to autonomously hack websites. Joseph Thacker, Principal AI Engineer at AppOmni as well as a security researcher who specializes in application security and AI, discusses the basics of hackbots, the current landscape of the technology, and its potential future implications.

S impact on cybersecurity roles, from automating tasks to creating new opportunities. + Thats all for today, but AI is moving fast — like, comment, and subscribe for more AI news! Please vote for me in the Entrepreneur of Impact Competition today! Thank you for supporting my partners and I — it’s how I keep Neural News Network free.

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New Blood Test Can Diagnose Multiple Cancers, Even at Early Stages

When cancer is detected earlier, it can improve outcomes for patients. Liquid biopsies are one way to improve cancer detection; these tests can analyze DNA in blood samples, which can reveal the presence of tumors because of circulating tumor DNA (ctDNA). Usually, genetic sequencing is used to assess this DNA, but that usually only identifies some types of cancers. Scientists have now created a new blood test called TriOx, which can analyze ctDNA in multiple ways and detect six types of cancer. The work has been reported in Nature Communications.

Usually, the analysis of ctDNA only focuses on one feature of the genome such as small variations in the DNA sequence that can reveal cancer, but TriOx uses an advanced tool called whole-genome TAPS (TET-Assisted Pyridine Borane Sequencing), which was combined with machine learning. This technique can analyze genetic as well as epigenetic features of DNA, like methylation.

World’s first quantum large language model can shape future of AI

Risk assessment and fraud detection can be enhanced with its usage in the financial sector.


A UK-based firm has launched the world’s first quantum large language model (QLLM). Developed by SECQAI, the QLLM is claimed to be capable of shaping the future of AI.

The company integrated quantum computing into traditional AI models to improve efficiency and problem-solving.

According to a report, the development involved creating an in-house quantum simulator with gradient-based learning and a quantum attention mechanism.

Unveiling Cosmic Secrets: Hubble’s Astonishing Glimpse at Supernova SN 2022AAJN

The Hubble Space Telescope’s ability to capture such detailed images of SN 2022AAJN represents a milestone in astronomical exploration. With its unprecedented image quality, Hubble provides astronomers with the means to explore cosmic events in greater depth and detail. This capability marks the start of a new era in astronomical science, where advanced imaging combines with cutting-edge data analysis tools, like machine learning, to accelerate discoveries and deepening our understanding of cosmic events such as supernovae and dark energy.

For further exploration and updates in astronomical research, visit the following resource: NASA. Here, you can find more in-depth insights, latest news, and upcoming events related to astronomical advancements.