If we’re worried about plagiarism why not train students to work with AI writing assistants and learn to think through the dialogue? We could teach them to use chatbots to get ideas, to generate alternative approaches to a topic, to research questions, and to edit what they get into a coherent whole.
At the same time, we also have to teach our students to be careful and think critically about engaging with AIs and assessing the credibility of what they say.
By thinking through dialogue we could all rediscover the rich history and potential of this form of engagement.
Scientists at University of California San Diego School of Medicine have developed an artificial intelligence (AI)-based strategy for discovering high-affinity antibody drugs.
In the study, published January 28, 2023 in Nature Communications, researchers used the approach to identify a new antibody that binds a major cancer target 17-fold tighter than an existing antibody drug. The authors say the pipeline could accelerate the discovery of novel drugs against cancer and other diseases such as COVID-19 and rheumatoid arthritis.
In order to be a successful drug, an antibody has to bind tightly to its target. To find such antibodies, researchers typically start with a known antibody amino acid sequence and use bacterial or yeast cells to produce a series of new antibodies with variations of that sequence. These mutants are then evaluated for their ability to bind the target antigen. The subset of antibodies that work best are then subjected to another round of mutations and evaluations, and this cycle repeats until a set of tightly-binding finalists emerges.
00:00 Intro. 03:05 Demis Hassabis: Founder of DeepMind. 14:30 DeepMind: Mission and early years. 19:18 Beating the Atari games. 27:22 Elon Musk: thoughts on DeepMind. 28:42 Elon Musk: AI could destroy humanity. 30:20 AlphaGo. 36:14 AlphaZero. 38:30 MuZero. 40:56 WaveNet. 43:18 AlphaStar. 45:33 AlphaFold. 48:39 Gato, A generalist agent. 50:02 Solving *everything else*
This premium episode is a documentary-style video about the history and importance of Alphabet subsidiary, DeepMind. Demis Hassabis, founder, was a chess prodigy by the time he was 13 years old. He went on to conclude he wanted to “solve intelligence” by building artificial intelligence agents and using digital tools. The team at DeepMind has created systems that defeated the world’s best chess and Go professionals. They’ve also cracked the code on the infamous ‘protein-folding problem.’ Demis Hassabis and DeepMind are fascinating. Moreover, they’re still just getting started.
Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes informationopinions, and conducts interviews to easily learn about Neuralink and its future.
Please consider supporting by joining the channel above, or sharing my other company website with retirees: https://www.reterns.com/. Opinions are our own. Neura Pod receives no compensation from DeepMind or Neuralink and has no affiliation to either company.
The word singularity has grabbed a lot of attention in the world of artificial intelligence. It refers to the moment AI exceeds out of human control and changes society.
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ChatGPT, the artificial intelligence tool that has been used in everything from high school essays to a speech on the floor of Congress, has added another accomplishment to its résumé: passing exams from law and business schools.
The AI tool was presented with several tests from both the University of Minnesota’s law school and the University of Pennsylvania’s Wharton School of Business, passing them all.
That said, the AI didn’t necessarily ace the exams with flying colors. The chatbot answered 95 multiple choice questions and 12 essay prompts across 4 of UM’s law school tests, averaging about a C+ performance overall. The tech did better in Wharton’s business management course exam, scoring between a B to B-.
