Weekly Roundup - AI IN THE ARENA
?? ChatGPT's Next Target: Education ?? AI Predicting Smell Better than Humans? ?? Elon Musk could train AI Models on your Twitter Data

Weekly Roundup - AI IN THE ARENA

WEEKLY RUNDOWN

  1. ? ??? ChatGPT's Next Target: Education
  2. ? ??? AI Predicting Smell Better than Humans?
  3. ? ??? Elon Musk could train AI Models on your Twitter Data

Read Time: 3 minutes


ARENA SPOTLIGHT

Founder and CEO of ArenaX Labs, Brandon Da Silva, joins Tech Wire Asia to discuss how AI technologies like reinforcement learning are reshaping game development.

Read the full article here


LATEST IN AI: FEATURED STORIES

?? ChatGPT's Next Target: Education

CoreDesignKEY/iStock/Getty

In a sentiment reversal, schools and educators are embracing ChatGPT and other AI tools as integral components of contemporary education, overcoming initial reservations and bans imposed earlier in the year.?

  • A notable majority of teachers now recognize the importance of familiarizing students with AI technologies, a sentiment echoed by over 70% of respondents in a recent EdWeek survey. Leveraging this growing acceptance, OpenAI recently launched a comprehensive guide to facilitate the incorporation of AI tools like ChatGPT in teaching endeavours.
  • This resource aids teachers in crafting lesson plans, developing quizzes, and facilitating role-playing sessions to nurture critical thinking skills among students. Additionally, it serves as a vital tool in bridging language barriers for non-English speakers.?

Read the full article here

?? AI Predicting Smell Better than Humans?

In a pioneering advancement, researchers have developed an AI model capable of predicting the scent of a chemical based solely on its molecular structure, with results paralleling human evaluators. Utilizing a neural network, the AI successfully deciphered the odors of 400 unidentified chemicals and formulated odor profiles for half a million theoretical molecules.?

  • The system managed to align atomic characteristics with odors gleaned from training data, approximating human average assessments more closely than any individual participant. This development potentially accelerates the creation of more appealing olfactory consumer products.?
  • Despite the progress, the team underscores the need for further exploration into the complex realm of molecule mixtures prevalent in real-world scenarios.?

Read the full article here

?

?? Elon Musk could train AI models on your Twitter Data

Midjourney prompted by THE DECODER

Elon Musk's recent move to update Twitter's terms of service, allowing for the use of user data in AI training, could significantly benefit his AI startup, xAI.?

  • While this change ensures that only publicly available information will be used, it could provide valuable data for xAI's AI model development.
  • Musk's strategic focus on data monetization is evident as he aims to improve data quality on the platform and charge for API access, creating incentives for content creators to stay within the platform.

Read the full article here


Where else is AI making headlines?

?US Restricts AI Chip Sales to Some Middle Eastern Countries

In an effort to curb China's access to advanced AI technology, the Biden administration has expanded export restrictions on Nvidia's A100 and H100 AI chips to encompass several Middle Eastern countries. This move signifies the US government's intensified approach to safeguarding critical AI technological advancements from potential appropriation or misuse by China, thereby maintaining a strategic edge in the global AI technology sphere.

?

??Tesla Switching on Super Computer This Week

Tesla is set to activate one of the world's most potent computers, equipped with $300 million worth of Nvidia's elite H100 AI chips, which are individually priced at around $40,000 and tailored for high-performance AI tasks including video training.?

  • This technological powerhouse will facilitate the processing of extensive data amassed from Tesla's vehicle fleet, aiming to refine and enhance the capabilities of the Full Self Driving (FSD) system, including features such as automatic lane changing, recognition of traffic lights and road signs, autonomous parking, and complete self-driving functionality without human intervention. Moreover, this development marks just the inception of Tesla's ambitious plan, with a forthcoming investment exceeding $1 billion earmarked for the creation of its proprietary supercomputer, Dojo, as the company navigates the current shortage of AI chips.

?

??Google DeepMind co-founder Argues US Should set AI Global Standards

Mustafa Suleyman, the co-founder of Google DeepMind nd and CEO of Inflection AI, is urging the US to spearhead the establishment of global AI standards, leveraging its dominant position in the chip manufacturing sector to enforce minimum requirements. He particularly emphasizes the role of companies using Nvidia chips in adhering to these prospective standards. This advocacy coincides with the Biden administration's extension of restrictions on AI chips from Nvidia and Advanced Micro Devices to regions beyond China, aligning with earlier pledges from premier AI enterprises to the White House to prioritize the regulation of AI technologies.

?

??Amazon AI Model Recognizes your Palm

Amazon One has introduced a groundbreaking contactless payment and identity verification system, leveraging a neural network trained on millions of synthetic palm images to achieve a remarkable 99.99% accuracy over more than 3 million uses. The technology, which uses the distinctive features of an individual's palm to link to their credit card or Amazon account, promises to eclipse the precision of iris scanning systems. As it rolls out in 500 Whole Foods Market stores and other locations, it aims to replace the need for wallets or phones, facilitating not only seamless transactions but also age verification and loyalty reward tracking. This innovative application of generative AI stands to revolutionize everyday experiences, underscoring a significant shift in harnessing the power of biometric data to enhance convenience in daily transactions.


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Aryan Amit Barsainyan

ML Engineer @ Deep Forest Sci. | Research Intern @ NUS | Ex-Research Intern @ UHerts | Deepchem Mentor @ GSoC '23

1 年

We have made a replica of the Principal Odor Map paper (AI model that predicts smell) and open-sourced it: https://github.com/biomachinelearning/openpom Star it, fork it, play with it, build with it, improve it, and let us know about it!

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