Lifeboat Foundation

When one of China’s biggest celebrities, Simon Gong —also known as Gong Jun—released a new music video in June 2022, it quickly attracted 15 million views on the country’s Twitter-like microblogging site Weibo. But the event also stood out for a different reason—one that only eagle-eyed fans might have noticed. The singer in the video was not Gong himself, but a digital replica created by Baidu, a “digital human” powered by artificial intelligence (AI). Likewise, the lyrics and melody were generated by AI, marking the recording as China’s first AI-generated content music video.

Deloitte defines digital humans as AI-powered virtual beings that can produce a whole range of human body language. In recent years, businesses focused on providing round-the-clock services, as well as the media and entertainment industry, are increasingly adopting this nascent technology, aiming to capture a growing market. And as digital humans increasingly populate other sectors like retail, health care, and finance, Emergen Research forecasts that the global market for digital humans will jump to about $530 billion in 2030, from $10 billion in 2020.

Artificial intelligence is the next game changer as it’s taking over every field of life. But what’s the future of Artificial intelligence and how AI will control our business? Join us today as we’ll be explaining everything in detail.

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AUSTIN (Austin Business Journal) — The size of what Elon Musk’s Space Exploration Technologies plans in Bastrop County, east of Austin, is coming into focus — and it appears to be massive.

To put the size into perspective, it would be larger than the footprint of half-a-dozen typical H-E-B grocery stores.

Artificial intelligence (AI) is not only affecting industries like business and healthcare. It is also playing an increasing role in the creative industries by ushering in a new era of AI-generated art. AI technologies and tools are often widely accessible to anyone, which is helping to create an entirely new generation of artists. We often […].

Facebook (now Meta) popularized the Silicon Valley ethos with the saying “Move fast and break things”. This approach might have worked when disrupting the social media business, but it’s causing all sorts of problems for them as well as other major AI players. Breaking things and moving fast might be the reason why so many AI projects are failing. According to an MIT study, over 85% of AI projects fail to deliver their stated objectives, and 70% of data science projects never make it to fruition. Clearly moving fast and breaking things doesn’t work if you’re not getting closer to success.

There’s a difference between Iterating to Success and Breaking Things.

The oft-cited Silicon Valley ethos of “Move fast and break things” isn’t working that well for AI.

Continue reading “The Worst AI Advice You’ll Ever Hear” »

Researchers have developed a machine learning algorithm that could help reduce charging times and prolong battery life in electric vehicles by predicting how different driving patterns affect battery performance, improving safety and reliability.

The researchers, from the University of Cambridge, say their algorithm could help drivers, manufacturers and businesses get the most out of the batteries that power electric vehicles by suggesting routes and driving patterns that minimize battery degradation and charging times.

The team developed a non-invasive way to probe batteries and get a holistic view of battery health. These results were then fed into a machine learning algorithm that can predict how different driving patterns will affect the future health of the battery.

California-based StepFunction, which helps enterprises improve customer retention rate, has raised $5 million.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

Modern-day software-as-a-service (SaaS) enterprises are racing to acquire new users and convert them into paying customers. The rush is great for the industry, but it has also left many organizations looking at only half of the picture.

Continue reading “Customer retention challenges? This company can help with ‘multidimensional’ data listening” »

Aug 31 (Reuters) — Chip designer Nvidia Corp (NVDA.O) said on Wednesday that U.S. officials told it to stop exporting two top computing chips for artificial intelligence work to China, a move that could cripple Chinese firms’ ability to carry out advanced work like image recognition and hamper Nvidia’s business in China.

Nvidia shares fell 6.6% after hours. The company said the ban, which affects its A100 and H100 chips designed to speed up machine learning tasks, could interfere with completion of developing the H100, the flagship chip Nvidia announced this year.

Shares of Nvidia rival Advanced Micro Devices Inc (AMD.O) fell 3.7% after hours. An AMD spokesman told Reuters the company had received new license requirements that will stop its MI250 artificial intelligence chips from being exported to China but it believes its MI100 chips will not be affected. AMD said it does not believe the new rules will have a material impact on its business.

Millions of faces and car license plates were stored in a sizable Chinese database that was publicly accessible for months before it was silently removed in August.

A tech business called Xinai Electronics with headquarters in Hangzhou on China’s east coast is the owner of the disclosed data. In China, the firm creates systems for regulating entry for people and cars to workplaces, schools, construction sites, and parking lots. Its website boasts the use of facial recognition for a variety of uses beyond building access, including personnel management, such as payroll, monitoring employee attendance and performance, while its cloud-based vehicle license plate recognition system enables drivers to pay for parking in unattended garages that are managed by staff remotely.

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