Turing Award winner and deep learning pioneer Geoffrey Hinton, one of the original proponents of backpropagation, has argued in recent years that backpropagation does not explain how the brain works. In his NeurIPS 2022 keynote speech, Hinton proposes a new approach to neural network learning: the Forward-Forward algorithm.
Scientists have created a teeny tiny, creepy crawly-like robot they hope will travel through the human body to cure diseases. Made of gelatin, the 3D-printed device may eventually replace pills or intravenous injections that can cause problematic side effects. Bring on the killer robots! We need ’em more than ever.
Read more ❯.
GPT Chat is a large language model trained by OpenAI, its function is to assist users in generating human-like text based on the input provided to it. It can assist with a wide range of tasks, such as answering questions, providing explanations, and generating original text. It’s designed to generate natural-sounding text, and it’s constantly learning and improving. It’s able to process and generate text at scale, making it a powerful tool for natural language processing and generation. It’s ultimate goal is to make it easier for people to interact with computers and access information using natural language.
Give it a try: https://openai.com/blog/chatgpt/
I had GPT Chat rewrite an article… More.
We’ve trained a model called which interacts in a conversational way. The dialogue format makes it possible for to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.
We are excited to introduce to get users’ feedback and learn about its strengths and weaknesses. During the research preview, usage of is free. Try it now at chat.openai.com.
Try
Called it. i want to start w/ planet Fall Out. see you in 2030.
In a guest editorial, Watch Dogs: Legion and Assassin’s Creed: Codename Hexe creative director Clint Hocking looks at the future of artificial intelligence, and how it will one day be able to generate full games.
After six decades we have finally reached controlled fusion “ignition.” Here is how it works and what it means (and doesn’t mean):
At the Lawrence Livermore National Lab (LLNL) the National Ignition Facility (NIF) starts with the Injection Laser System (ILS), a ytterbium-doped optical fiber laser (Master Oscillator) that produces a single very lower power, 1,053 nanometer (Infrared Light) beam. This single beam is split into 48 Pre-Amplifiers Modules (PAMs) that create four beams each (192 total). Each PAM conducts a two-stage amplification process via xenon flash lamps.
Self-coding and self-updating AI algorithms appear to be on the horizon. There are talks about Pitchfork AI, a top-secret Google Labs project that can independently code, refactor, and use both its own and other people’s code.
This type of AI has actually been discussed for a long time, and DeepMind mentioned it at the beginning of the year along with the AlphaCode AI, which, according to them, “code programs in competitive level” as a middle developer. However, since February, there hasn’t been any more interesting news.
Human preferences on any topic have become diverse. Coming up with a statement that the majority of the population agrees with seems to be a challenge. Researchers at DeepMind, an AI company, accepted this challenge, trained a large language model, and fine-tuned it. They have to assume that human preferences are static and homogeneous to build the model.
The model generates statements to maximize approval among a group of people with diverse preferences. The research team fine-tuned the 70 billion parameter model, which was provided by thousand moral and political questions, and human written responses were provided for those questions. Then a reward model was trained in order to give weight to different opinions. Their best model was able to achieve more than a 65 percent preference rate.
The model was very sensitive when they tested it by just feeding part of the responses of the group of people then, the rest of the people’s opinion, which was not included, had a significant variance. Thus, the individual contribution of each consensus is equally important. There are many complicated NLP tasks like reading comprehension, fluent language generation, etc., which helped form the foundations for this LLM.
Two years after DeepMind’s revolutionary AI swept a competition for predicting protein structures, researchers are building on AlphaFold’s success.
Artificial intelligence (AI) is transforming the Federal Government—and it’s up to you to make it work for your mission. Booz Allen can help. We deliver custom, secure solutions that allow government to responsibly unlock its potential.
Our AI experts, scientists, domain experts, and consultants understand the technologies that make AI possible, the policies that make it necessary, the business cases that make it strategic, and the solutions that make it powerful.
These Remote Carriers will supplement manned aircraft and support pilots in their tasks and missions.
A group led by Airbus has successfully tested the launch and operation of a Remote Carrier flight test demonstrator, a modified Airbus Do-DT25 drone, from a flying A400M.
The project, jointly developed with Germany’s Bundeswehr, the German Aerospace Center DLR, and German companies SFL and Geradts, aims to supplement the upcoming European sixth-generation fighter jet, part of the Future Combat Air System (FCAS). “Multiplying the force and extending the range of unmanned systems will be one of the future roles of Airbus’ military transport aircraft in the FCAS,” said in a release.
