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Intel Challenges Nvidia With Gaudi 3 AI Accelerator

In a move that directly challenges Nvidia in the lucrative AI training and inference markets, Intel announced its long-anticipated new Intel Gaudi 3 AI accelerator at its Intel Vision event.

The new accelerator offers significant improvements over the previous generation Gaudi 3 processor, promising to bring new competitiveness to training and inference for LLMs and multimodal models.

Gaudi 3 dramatically increases AI compute capabilities, delivering substantial improvements over Gaudi 2 and competitors, particularly in processing BF16 data types, which are crucial for AI workloads.

Databricks’ New Open Source LLM

Data analytics company Databricks says its mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their own AI systems. Central to that mission is the ability to use a large language model tailored to the needs of the enterprise.

Databricks addresses the need for open LLMs with the release of DBRX, a new open, general-purpose large language model that sets new benchmarks for performance and efficiency. The announcement continues the recent trend of open large language models adapted for the needs of the enterprise.

The open-source DBRX large language model was developed by Databricks’ Mosaic Research team, which it acquired in June 2023 as part of its MosaicML acquisition.

EdTech Monday: Artificial Intelligence in Education

The use of Artificial Intelligence (AI) in education has seen an increase in recent years. The rapid development of this new technology is having a major impact on education. In this edition of Edtech Mondays we will talk about the applications and benefits of AI in the education sector, the necessary implementation frameworks, the policy support and also seek to hear from the end users on the impact AI has or would have.

Ray Kurzweil & Geoff Hinton Debate the Future of AI

The potential of AI, particularly in narrow domains, is immense and has the capability to revolutionize various fields, but it also poses significant dangers if not carefully managed and understood Questions to inspire discussion What are the potential dangers of AI? —The potential dangers of AI include the possibility of open sourcing technology leading to the creation of atomic bombs and the dangers of open sourcing large language models for bad purposes.

AI Tool Helps Doctors Pick Optimum Cancer Treatment For Patients

An Israeli medtech company is using artificial intelligence to help oncologists decide the best and most effective course of treatment for their cancer patients.

OncoHost’s main focus is on treatments for non-small cell lung cancer (NSCLC). According to the World Cancer Research Fund, lung cancer is the second most common cancer (after breast cancer) and responsible for 12.2 percent of new cases of the disease.

In fact, OncoHost CEO Ofer Sharon tells NoCamels, lung cancer “is the number one killer” among patients with this form of the disease.

AlphaGeometry: An Olympiad-level AI system for geometry

From U tubingen and cambridge U

Wu’s Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry https://arxiv.org/abs/2404.

- Wu’s…


Our AI system surpasses the state-of-the-art approach for geometry problems, advancing AI reasoning in mathematics.

Reflecting the Olympic spirit of ancient Greece, the International Mathematical Olympiad is a modern-day arena for the world’s brightest high-school mathematicians. The competition not only showcases young talent, but has emerged as a testing ground for advanced AI systems in math and reasoning.

In a paper published today in Nature, we introduce AlphaGeometry, an AI system that solves complex geometry problems at a level approaching a human Olympiad gold-medalist — a breakthrough in AI performance. In a benchmarking test of 30 Olympiad geometry problems, AlphaGeometry solved 25 within the standard Olympiad time limit. For comparison, the previous state-of-the-art system solved 10 of these geometry problems, and the average human gold medalist solved 25.9 problems.

Autonomous watercraft for underwater and surface mapping of rivers, lakes

Fraunhofer researchers developed an easy-to-operate, unmanned watercraft that autonomously surveys bodies of water both above and below the surface and produces corresponding 3D maps.


The unmanned watercraft uses its GPS, acceleration and angular rate sensors, and a Doppler velocity log (DVL) sensor to incrementally feel its way along the bottom of the body of water. In combination with mapping software, laser scanners, and cameras enable the device to reconstruct high-precision 3D models of the surroundings above water. A multi-beam sonar integrated into the sensor system is used for underwater mapping and creating a complete 3D model of the bed.

“Our navigation system is semi-automatic in that the user only needs to specify the area to be mapped. The surveying process itself is fully automatic, and data evaluation is carried out with just a few clicks of the mouse. We developed the software modules required for the mapping and autonomous piloting,” explains Dr. Janko Petereit, a scientist at Fraunhofer IOSB.

During the journey, it autonomously avoids obstacles detected by the laser scanner and sonar and generates a 3D model in real time for navigation purposes, including dynamic objects such as moving vessels.

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