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  • Amazon's $4B Anthropic investment 💸 Databricks' Open-Source DBRX model 🖥 OpenAI to pay developers 💰

Amazon's $4B Anthropic investment 💸 Databricks' Open-Source DBRX model 🖥 OpenAI to pay developers 💰

In Today’s Newsletter:

  • Amazon completes its planned $4B investment in Anthropic

  • Databricks unveils Open-Source model DBRX

  • OpenAI to pay developers for their GPT models

  • More AI news from around the world

  • What is Neural Networks?

  • Upcoming AI Events

TOP NEWS
Amazon doubles down on Anthropic, completing its planned $4B investment

Image Credits: Anthropic

Amazon reaffirms its commitment to AI advancement by investing an additional $2.75 billion in Anthropic, a move following its initial $1.25 billion investment last September. Anthropic's AI models, rivaling the likes of OpenAI and Google, offer scalable enterprise solutions. Amazon's strategic investment reflects the competitive landscape, positioning itself to capitalize on AI's transformative potential. With Anthropic's promising trajectory, Amazon secures its foothold in the rapidly evolving AI sector, demonstrating its strategic foresight and commitment to innovation in the digital age.

TOP NEWS
Databricks unveils game-changing Open-Source model DBRX, challenging GPT-4 dominance

Image Credits: Databricks

Databricks introduces DBRX, a groundbreaking open-source model surpassing industry benchmarks and rivaling GPT-4 at a fraction of the cost. With superior performance in language understanding, programming, and math, DBRX leverages MoE architecture for efficiency and cost-effectiveness, offering 20 times lower expenses than GPT-4. VP Naveen Rao emphasizes the strategic shift towards open-source models, foreseeing their eventual dominance over proprietary ones. Despite challenges in development and scaling, Databricks remains committed to advancing DBRX and facilitating its integration across cloud environments, signaling a paradigm shift in AI model accessibility and affordability.

TOP NEWS
OpenAI launches program to pay developers based on usage of their GPT models

Image Credits: OpenAI

OpenAI introduces a program enabling US developers to earn from their GPT model usage. Initially partnering with select developers, details on participants, revenue sharing terms, and rollout timeline remain undisclosed. This initiative follows challenges with GPT models, including moderation issues and spamming concerns, indicating OpenAI's proactive response to enhance developer engagement and address model performance.

MORE NEWS

Columbia University's Lab unveiled Emo, a groundbreaking robot capable of anticipating and mirroring human facial expressions in real-time interactions. It is equipped with 26 actuators for versatile expressions and AI models trained to predict and mimic human smiles.

A report by the IPPR underscores the urgent need for action as AI integration threatens up to 8 million jobs in the UK. With AI's growing adoption, the report highlights the risk of job displacement, especially in back-office and entry-level roles.

Century Health, backed by $2 million in pre-seed funding, is working on employing artificial intelligence to leverage clinical data for pharmaceutical applications. The platform aims to revolutionize treatment accessibility by uncovering insights from decades of patient data to expedite drug discovery and enhance patient access.

Cyvl.ai, secures a $6 million investment to enhance transportation infrastructure monitoring. Employing sensors and AI, it offers a digital twin of infrastructure, predicting repairs and bolstering data-driven decision-making for governments and civil engineering firms.

TOOLS AND RESOURCES
Future Forward: Weekly AI Learning Series

Neural Networks

Neural networks, fundamental to Deep Learning, are composed of interconnected nodes called Neurons arranged in layers. Each Neuron receives data from connections, multiplies it by weights, and passes it through a threshold to determine activation. During training, weights and thresholds are adjusted iteratively to match desired outputs, allowing the network to make context-dependent decisions based on input data.

Neural Networks finds its applications in Speech Recognition, Financial Forecasting, and Healthcare Diagnosis.

To learn in a more simple way what Neural Networks is all about, go check out our blog here.

UPCOMING EVENTS

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