/AI News/Issue 57

Issue #57 14 stories

Global AI Weekly

From Silicon Valley to Silicon Savannah

Published Tuesday, June 18, 2024

In this issue

Highlights

4 stories
From Silicon Valley to Silicon Savannah: climate expert Patrick Verkooijen on why this is Africa’s century
theguardian.com

From Silicon Valley to Silicon Savannah: climate expert Patrick Verkooijen on why this is Africa’s century

The University of Nairobi’s new chancellor says the continent has vast potential – but to realise the promise of AI and green jobs, rich countries must honour their commitments Africa has all the potential to meet pressing climate challenges with innovative solutions, according to one of the world’s renowned environmentalists. With its vast natural capital and youthful population, “this is Africa’s century,” according to Prof Patrick Verkooijen, chief executive of the Global Center on Adaptation (GCA), and the new chancellor of the University of Nairobi.

In this issue

Research

1 story
arxiv.org

Better interpretable neural networks with Kolmogorov networks

As more governments are considering regulating AI, it is important that we gain a better understanding of how ML solutions work internally. Using neural networks in your solution makes it harder to see what happens. Some researchers are finding ways to make neural networks easier to interpret. This paper for example, uses a new way to train neural networks to make them easier to interpret. Well worth a read!

In this issue

Video

1 story
In this issue

Articles

7 stories
research.nvidia.com

Nemotron-4 340B

We release the Nemotron-4 340B model family, including Nemotron-4-340B-Base, Nemotron-4-340B-Instruct, and Nemotron-4-340B-Reward. Our models are open access under the NVIDIA Open Model License Agreement, a permissive model license that allows the distribution, modification, and use of the models and their outputs.

In this issue

Code

1 story
github.com

Welcome to Microsoft Phi-3 Cookbook

Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.

Every Tuesday

Get the next issue in your inbox.

The AI links worth your time, curated by the community and always free.