Lifeboat Foundation

July 11 (Reuters) — Alphabet’s Google (GOOGL.O) was accused in a proposed class action lawsuit on Tuesday of misusing vast amounts of personal information and copyrighted material to train its artificial intelligence systems.

The complaint, filed in San Francisco federal court by eight individuals seeking to represent millions of internet users and copyright holders, said Google’s unauthorized scraping of data from websites violated their privacy and property rights.

“Google does not own the internet, it does not own our creative works, it does not own our expressions of our personhood, pictures of our families and children, or anything else simply because we share it online,” the plaintiffs’ attorney Ryan Clarkson said in a statement.

The recent rise of powerful large language models (LLMs) has revolutionized the field of natural language processing (NLP).

The performance of these generative models is largely dependent on users’ prompts, which are becoming increasingly detailed and complex.

A Google Trends search reveals a hundredfold increase in popularity for the term “prompt engineering” over the last six months, and social media is teeming with novel prompting tips and templates.

SAN FRANCISCO, July 11 (Reuters) — International Business Machines (IBM) (IBM.N) is considering the use of artificial intelligence chips that it designed in-house to lower the costs of operating a cloud computing service it made widely available this week, an executive said Tuesday.

In an interview with Reuters at a semiconductor conference in San Francisco, Mukesh Khare, general manager of IBM Semiconductors, said the company is contemplating using a chip called the Artificial Intelligence Unit as part of its new “watsonx” cloud service.

IBM is hoping to take advantage of the boom in generative AI technologies that can write human-like text more than a decade after Watson, its first major AI system, failed to gain market traction.

AI is growing in its capability, and threatens the way we live and our security. Other technologies like Web3/metaverse and defi are not as threatening, and are shrinking in importance as interest rates rise.

AI has gotten good at writing. Here’s how experts say you can identify it.

Digital art techniques can now devise custom, working biomolecules on demand.

– India’s First Odia AI News Anchor Launched By OTV
#otvnews.

OdishaTV is Odisha’s no 1 News Channel. OTV being the first private satellite TV channel in Odisha carries the onus of charting a course that behoves its pioneering efforts.
Accordingly its charter objectives are FREE, FAIR and UNBIASED. OTV delivers reliable information across all platforms: TV, Internet and Mobile.

Continue reading “Meet Lisa — India’s First Odia AI News Anchor Launched By OTV” »

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.357452 data-title=3 Human Super Talents AI Will Not Replace data-url=/2023/05/3-human-super-talents-ai-will-not-replace data-topic= Career planning data-authors= Tomas Chamorro-Premuzic; Reece Akhtar data-content-type= Ascend data-content-image=/resources/images/article_assets/2023/05/A_May23_29_AI-human_1197242446-383x215.jpg data-summary=

Stay curious, practice humility, and focus on others.

Qualcomm recently released a white paper titled, “The Future of AI is Hybrid.” In the paper, they outline a clear case that for AI to develop to its maximum capabilities, it needs to be processed both on the cloud and the edge. Computing at the edge would improve issues like cost, energy use, reliability, latency issues, privacy—all of the things that make scaling and growing a technology difficult. And they’re right: for AI to optimize fully, it needs more than one partner, more than one solution. But the greater lesson here is: that’s true for all technology moving forward.

When we hear the term “hybrid,” many of us think of hybrid cars—cars that run on both gasoline and electricity. We in the tech space eventually grabbed that term to refer to things like hybrid cloud —a situation where companies may process some of their data on the public cloud, private cloud, or data center in some type of mix. The goal in creating these hybrid models in technology was the same as it was with hybrid cars—to reduce energy consumption, improve costs, enhance performance.

The hybrid cars grew in popularity because they allowed users the enjoy the best qualities of both types of cars—gas and electric. Gas engines allow the hybrid to refuel quickly and move longer distances before needing fuel. The electric side helps cut emissions and save money. A similar concept is true for AI. AI needs somewhere powerful and stable for model training and inference, which require huge amounts of space for processing complex workloads. That’s where the cloud comes in. At the same time, AI also needs to happen fast. For it to be useful, it needs to process closer to where the action actually happens—the edge of a mobile device.