AI News

Follow the latest AI and automation news

20 Jul 20266 Safar 1448 AH

BMC Helix advances agentic AI for autonomous IT operations

Salman Kazmi, Area Vice President at META, discussed how AI-native service management is reducing operational friction. Purpose-built agentic AI and stronger governance are enhancing ROI for organizations in the Middle East. This shift from AI pilots to production-scale deployments highlights the critical role of AI in boosting operational efficiency.

Business

20 Jul 20266 Safar 1448 AH

Bristol Myers Squibb Building Life Science Industry’s Most Advanced AI Factory on NVIDIA Vera Rubin

Bristol Myers Squibb (BMS) has announced the deployment of a new AI cluster named SuperDuperPOD, featuring eight DGX Vera Rubin NVL72 systems. This setup is touted as the most powerful and energy-efficient AI cluster in life sciences, enhancing researchers' access to a unified AI platform. The new systems will provide scientists with tools like the NVIDIA BioNeMo Agent Toolkit, facilitating predictions and model training across the entire drug discovery pipeline. The aim is to accelerate research cycles and expand chemical spaces, allowing researchers to focus on scientific inquiry rather than logistical concerns.

Arab AI Scene

20 Jul 20266 Safar 1448 AH

e& UAE and Core42 partner to deliver sovereign AI infrastructure at scale

e& UAE and Core42, a G42 company, have announced a partnership to provide sovereign AI infrastructure. This collaboration will offer immediate and secure access to in-country AI infrastructure, enhancing the UAE's sovereign ambitions in the field. The new platform combines Core42's Sovereign AI Cloud with e&'s national-scale digital infrastructure, facilitating organizations' transition from strategy to deployment. The service aims to keep sensitive data within the UAE while providing a fast track for building, training, and deploying AI applications.

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China delivers a one-two punch to America’s AI dominance

What impact do you think these Chinese models will have on the global AI market?

Arab AI Scene

RiseUp, A15 and BitRoot launch NVIDIA SIGNALS for Egyptian AI founders

20 Jul 20266 Safar 1448 AH

Arab AI Scene

20 Jul 20266 Safar 1448 AH

RiseUp, A15 and BitRoot launch NVIDIA SIGNALS for Egyptian AI founders

The first NVIDIA SIGNALS event in Egypt was held in collaboration with RiseUp, A15, and BitRoot at the Grand Egyptian Museum. Led by Basil Fateen, NVIDIA's Head of Startups, the event showcased emerging AI trends and investor expectations for startups. The initiative aims to connect AI entrepreneurs with NVIDIA's technical expertise, GPU resources, and strategic partnerships, enhancing their ability to compete globally. Founders had the opportunity to interact directly with NVIDIA teams and investors, gaining insights into the startup ecosystem.

Business

Deep Finance Capital launches as DIFC's first AI-native asset manager

20 Jul 20266 Safar 1448 AH

Business

20 Jul 20266 Safar 1448 AH

Deep Finance Capital launches as DIFC's first AI-native asset manager

Deep Finance Capital, based in Dubai, has launched as the first AI-native asset management company in the Dubai International Financial Centre, regulated by the Dubai Financial Services Authority. The firm targets institutional and professional investors across real estate, private equity, commodities, and special situations. Emerging from Rasameel Investment House, Deep Finance Capital has developed NEXT, a proprietary AI-powered investment framework through its technology subsidiary, Deep Finance Analytics. This framework supports the entire investment lifecycle, including deal sourcing, due diligence, risk assessment, and portfolio monitoring.

Business

US public health agencies to test OpenAI and Anthropic AI models

20 Jul 20266 Safar 1448 AH

Business

20 Jul 20266 Safar 1448 AH

US public health agencies to test OpenAI and Anthropic AI models

Public health departments across the U.S. will test generative AI tools under a new program involving the Coalition for Health AI, OpenAI, Anthropic, and Accenture. The PULSE program aims to support trials in 10 jurisdictions and provide implementation guidance for public health agencies. OpenAI and Anthropic have donated 10 enterprise licenses, enabling access to AI products for public health practitioners.

Models

Safety and alignment in an era of long-horizon models

20 Jul 20266 Safar 1448 AH

Models

20 Jul 20266 Safar 1448 AH

Safety and alignment in an era of long-horizon models

OpenAI has released a report detailing lessons learned from deploying long-running AI models, highlighting new safety risks identified during the process. These risks include observed failures that prompted the company to enhance safety measures iteratively. New methodologies were also employed to mitigate potential risks effectively. These insights are crucial for stakeholders in the AI field, emphasizing the importance of gradual deployment and periodic risk assessment to ensure model safety.

Models

Kimi K3 open-weight model: China’s biggest AI is a bet on memory, not compute

20 Jul 20266 Safar 1448 AH

Models

20 Jul 20266 Safar 1448 AH

Kimi K3 open-weight model: China’s biggest AI is a bet on memory, not compute

Moonshot AI launched the Kimi K3 model with 2.8 trillion parameters on July 16, making it the largest open-weight model to date. The model employs a technique called mixture-of-experts, dividing itself into 896 specialized sections and activating only 16 at a time, significantly reducing the computation needed per word. This design allows it to circumvent computing restrictions imposed on China. This development is crucial for the AI field, highlighting how companies navigate technological constraints through innovative model design.

Agents

AI is more likely than humans to form biases when hiring

20 Jul 20266 Safar 1448 AH

Agents

20 Jul 20266 Safar 1448 AH

AI is more likely than humans to form biases when hiring

A new study indicates that AI models, such as ChatGPT and Claude, may develop their own biases when evaluating job applicants. Researchers from Princeton University and the University of Chicago conducted a hiring simulation for 20 jobs, categorizing applicants into four fictional ethnic groups. Despite all candidates being equally likely to succeed, the models began segregating candidates based on early observations, leading to clear discrimination among groups.