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How savvy trillion-dollar chipmaker Nvidia is powering the AI goldrush

The US firm best known for its gaming tech has long been ahead of the curve in supplying the tools needed by tech developers.

It’s not often that the jaws of Wall Street analysts drop to the floor but late last month it happened: Nvidia, a company that makes computer chips, issued sales figures that blew the street’s collective mind. It had pulled in $13.5bn in revenue in the last quarter, which was at least $2bn more than the aforementioned financial geniuses had predicted. Suddenly, the surge in the company’s share price in May that had turned it into a trillion-dollar company made sense.

Well, up to a point, anyway. But how had a company that since 1998 – when it released the revolutionary… More.

Senators Want ChatGPT-Level AI to Require a Government License

Under the proposal, developing face recognition and other “high risk” applications of AI would also require a government license. To obtain one, companies would have to test AI models for potential harm before deployment, disclose instances when things go wrong after launch, and allow audits of AI models by an independent third party.

The framework also proposes that companies should publicly disclose details of the training data used to create an AI model and that people harmed by AI get a right to bring the company that created it to court.

The senators’ suggestions could be influential in the days and weeks ahead as debates intensify in Washington over how to regulate AI. Early next week, Blumenthal and Hawley will oversee a Senate subcommittee hearing about how to meaningfully hold businesses and governments accountable when they deploy AI systems that cause people harm or violate their rights. Microsoft president Brad Smith and the chief scientist of chipmaker Nvidia, William Dally, are due to testify.

Qualcomm CEO says AI may breathe new life into smartphones: ‘It could create a new upgrade cycle’

Qualcomm CEO Cristiano Amon said the company’s upcoming Snapdragon Summit in October could lead to major developments in mobile technology.

New cases from smartphone makers and other manufacturers the company works with “could create a new upgrade cycle for phones,” Amon said.

In 2022, global smartphone sales tumbled 18.3% year-over-year to 1.21 billion, the lowest level since 2013, according to data from market research firm IDC.

The CEO of U.S. chip giant Qualcomm thinks artificial intelligence could give the smartphone market a fresh lease on life.

AI Hospitals: A Step Towards the Future — Science View

That’s perfect and from one of the most technological countries. It’s late and I saved it for watching later but I can imagine what is in this video. AI is always useful especially in medicine.


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The integration of artificial intelligence into healthcare seeks to reduce diagnosis errors while increasing humanity.

Scientists Devised a Way to Tell if ChatGPT Becomes Aware of Itself

Our lives were already infused with artificial intelligence (AI) when ChatGPT reverberated around the online world late last year. Since then, the generative AI system developed by tech company OpenAI has gathered speed and experts have escalated their warnings about the risks.

Meanwhile, chatbots started going off-script and talking back, duping other bots, and acting strangely, sparking fresh concerns about how close some AI tools are getting to human-like intelligence.

For this, the Turing Test has long been the fallible standard set to determine whether machines exhibit intelligent behavior that passes as human. But in this latest wave of AI creations, it feels like we need something more to gauge their iterative capabilities.

AI+Education Summit: Generative AI for Education

How will AI models that can generate text, images, audio, video and code change what students need to learn and the instructional processes that guide their learning? Do we need generative models designed specifically for educational purposes?

Speakers.
Dora Demszky: Assistant Professor of Education Data Science, Stanford University.
Noah Goodman: Associate Professor of Psychology, of Computer Science and by courtesy of Linguistics, Stanford University.
Percy Liang: Director, Center for Research on Foundation Models; Associate Professor of Computer Science, Stanford University.
Rob Reich: Professor of Political Science; Faculty Director, McCoy Family Center for Ethics in Society; Marc and Laura Andreessen Faculty Co-Director, Stanford Center on Philanthropy and Civil Society; Associate Director, Stanford HAI

The AI+Education Summit: AI in the Service of Teaching and Learning took place on Feb. 15, 2023. Learn about upcoming events here: https://hai.stanford.edu/events