Author: Vicky Wu

Mission Cloud has launched Mission AI Foundation, a service designed to help businesses optimise their AI solutions on AWS, addressing challenges such as financial management and security.

Oracle has expanded its partnership with Nvidia, introducing Nvidia L40S GPUs to Oracle Cloud Infrastructure, offering enhanced generative AI, graphics, and video capabilities.

Chipmaker Qualcomm forecast fourth-quarter revenue above Wall Street estimates, with a revenue range with a midpoint of $9.9 billion, higher than analysts’ average estimate of $9.71 billion.

Amazon has launched an advanced AI model for its “Just Walk Out” checkout-free service, using cameras, sensors and RFID to track shoppers more accurately.

Extreme Networks has forged a co-innovation alliance with Intel to boost the AI capabilities of its Extreme AI Expert solution, aiming to optimise network performance and enhance security.

Intel has confirmed the launch of its next-generation Core Ultra processors, codenamed “Lunar Lake,” on September 3 in Berlin, featuring a significant focus on AI and performance improvements.

Microsoft has reported a 10% increase in quarterly profits, driven by strong growth in its cloud computing business and solid performance across its product lines, with revenues reaching $64.7 billion.

Canva has acquired Leonardo AI, an Australian startup specialising in advanced generative AI for creating images and art.

The ethical challenges of AI are multifaceted, including issues of bias, privacy, transparency, accountability, and the impact on employment.

The ethical use of AI in healthcare requires ensuring fairness, reliability, privacy and respect for patient autonomy.

There are five pillars of AI ethics, including transparency, accountability, fairness, privacy, and human-centric design.

AI ethics are crucial to mitigate risks, ensure fairness and transparency, and prevent the perpetuation of biases in AI technologies.