Generative AI companies are dominant on this year’s list of the most promising AI startups, heralding a coming productivity revolution.
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.
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.
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.
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.
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.
Launches within 12 hours of one another, and more activity expected in industry over summer.
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…
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Emo the robot has been developed by researchers at Columbia University to both read and mimic human’s non-verbal cues, like eye contact and smiling.
