IBM's green AI chips

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Today we will discuss-

• 🤩US takes steps toward regulating AI in political ads

• 👩‍🏫IBM unveils an environment-friendly AI chip

• 💁‍♀️AI in life sciences market to cross $6,700M

• 🧑🏻‍🎤 13 fantastic AI tools you might not have heard of

All this and more - Let's dive in!

👩‍🍳What’s cooking in the newsroom?

Federal Election Commission seeks public opinion on regulating AI for political ads

🤖News - The Federal Election Commission (FEC) of United States has taken a constructive step towards regulating deepfakes in political ads.

The FEC voted unanimously to seek public comment on whether existing federal rules against fraudulent campaign advertising should apply to ads that use AI-based technologies to create deepfakes. The two-month public comment window will close in October

👩‍💻What’s next? The FEC will consider the public comments it receives before deciding whether to move forward with formal regulations.

It is possible that the FEC will decide to adopt new rules that specifically regulate deepfakes in political ads. However, it is also probable that the FEC will decide that its existing rules are sufficient to address the threat of deepfakes.

👷‍♀️How did people react to this? On Thursday, a Republican commission member, Allen Dickerson, argued that the agency does not have the authority to regulate deepfakes. However, dozens of Democratic lawmakers supported the move by FEC.

Public Citizen, a progressive consumer rights advocacy group, in June, filed a second petition with the FEC asking the agency to ban deepfakes from political ads. Following which, the decision to welcome public comments on regulating AI in political ads, has been taken.

IBM develops a special chip that promises to make AI more energy efficient

🕵️‍♂️Context of the News - AI systems require a lot of computing power, which can lead to high energy consumption. This energy consumption can accelerate emissions of greenhouse gases, which contribute to climate change. Warehouses full of computers that are used to power AI systems can be a major source of these emissions.

👨‍🔬News - Now, to address this issue, IBM has developed a prototype chip that is designed to be more energy efficient than traditional AI chips. The chip is inspired by the way the human brain works, and it uses components that work in a similar way to connections in the brain.

The development of more energy-efficient AI chips is important for a number of reasons. First, it could help to reduce the environmental impact of AI. Second, it could make AI more affordable and accessible to a wider range of people. Third, it could lead to new and innovative applications for AI.

🧑‍💻Where could these chips be used? IBM believes that its prototype chips could be used in smart phones, self-driving cars, and data canters. However, it is still in the early stages of development, but the company is hopeful that the chip will be ready for commercial use in the next few years.

AI in life sciences market can move above $6,700M by 2030, study suggests

🕵🏻‍♀️News - A study published by Towards Healthcare predicts that the global artificial intelligence in life sciences market revenue will reach around $3,880 million by 2027 and can cross $6,700M by 2030.

👩🏻‍🏫What are the factors driving growth of AI in life sciences?

• Increasing prevalence of chronic diseases: Chronic diseases, such as cancer, diabetes, and heart disease, are a major burden on the global healthcare system. AI can be used to develop new treatments for these diseases, besides improving the diagnosis and management of existing treatments.

• Rising demand for personalized medicine: Personalized medicine is a field of medicine that tailors treatments to the individual patient's genetic makeup and other characteristics. AI can be used to develop personalized medicine by analyzing large amounts of data to identify patterns and correlations that can be used to predict which treatments are most likely to be effective for each patient

• The growing availability of data: The amount of data available in the life sciences field is growing very fast. This data can be used to train AI models which can make better decisions about drug discovery.

That being said, there are still some challenges that need to be addressed. A recent survey found that there are two main barriers to AI implementation in life sciences - a lack of skills and access to adequate data.

👩🏼‍💻What else is happening?

• Alibaba CEO discusses global supply constraints in AI training

• ChatGPT expands its ‘custom instructions’ feature to free users

• Nice recommends use of AI in NHS radiotherapy treatment in England

• California turns to AI to help spot wildfires

• Jeli, incident management firm, is bringing generative AI to incident report analysis

🎧AI-generated songs

• Reflection - It was a song composed by Brian Eno. It is his 26th studio album and is a single piece of ambient music that was originally released as a 54-minute track. Eno, later, published an AI version of the album that changes the music depending on the time of day.

• Break Free - The maker of the song was Taryn Southern. She was the first pop star to compose and produce an album entirely through an AI. She used a combination of tools including IBM’s Watson Beat, Amper, AIVA, and Google Magenta to create the song.

• Heart on My Sleeve - It is a song written and produced by a TikTok user. The song went viral on social media. Its vocals were generated by artificial intelligence, made to sound like Canadian musicians Drake and The Weeknd.

 😵Discover mind-blowing AI tools

1. HideMyAI - A tool that transforms AI-generated content into human-like copy

2. Wave.Video - Allows users to create and customize videos with an extensive array of tools

3. Cascading - A platform that automates manual banking processes using advanced AI technology

4. Razzle - Helps developers create server-rendered JavaScript applications with ease

5. Klenty - A sales engagement platform that helps sales teams streamline their outreach efforts

6. Talknotes - An AI-powered tool that transforms voice memos into written content

7. Greenlite - An AI compliance team that helps fintech companies unlock growth by handling entry-level AML, BSA, and KYC tasks

8. Exprescial - Allows users to express themselves and connect with people and groups based on their interests

9. Sista.AI - An AI fitness coach that helps individuals achieve their fitness goals through personalized workout plans

10. Conversagent - An AI-powered shopping assistant that provides 24/7 automated support to customers

11. Kalami - An application that enhances AI conversations by allowing users to upload their own data

12. Dora - A web design platform that enables users to create stunning 3D and animated sites without coding

13. Gnothiai - An AI-powered journal and toolkit designed to support a healthy and happy life

📖AI-based books

• Klara and the Sun by Kazuo Ishiguro - The books revolves around AI and the friends it makes. In a dystopian future, Klara is an artificial friend who is purchased by Josie, a sickly girl who was "lifted." Klara tries to understand Josie and her condition, and to help her in any way she can. As Josie's condition worsens, Klara's love for her grows stronger, and she begins to question the nature of her own existence.

• Machines Like Me by Ian McEwan - The book explores the plot of "What if the English mathematician Alan Turing was still alive?" The book's lead character is a day trader, who uses his money to purchase Adam, one of the first batches of synthetic humans.

• Human Compatible by Stuart J. Russell - It is a non-fiction book which discusses the risk that humanity faces from advanced artificial intelligence technologies. The book also offers solution to mitigate the risks associated with AI.