


2022 is a roller coaster year for artificial intelligence.
From art, video, medicine...artificial intelligence is impacting the mainstream, and the public is increasingly discussing AI.
What will happen in 2023? As we look to the future, let's look back to the past.
The following are some of the big AI news in 2022.
Programmers sue Copilot
Last month, programmer and author Matthew Butterick sued Microsoft and some of its partners, GitHub and OpenAI Wait to file a class action lawsuit.
It’s all because of Copilot, a first-of-its-kind artificial intelligence program that can generate code.
The purpose of Copilot is to assist development teams by creating simple code, thus saving man-hours for other tasks.
The program does not acknowledge how it learned from existing code on the data training set.
This will be a decisive lawsuit for those who care about artificial intelligence, training sets, and the original creators who find their work used in training programs.
How this problem is solved may have a lasting impact on the field for many years to come.
AI app Lensa is causing a stir in the art world
Lensa is an app powered by AI that has taken the internet by storm recently.
On almost any social media platform, you can see photos generated by netizens using Lensa.
As long as users upload their own images, Lensa will turn the photos into stylized works of art.
This may sound innocuous, but many people in the art world are unhappy because Lensa and other programs are trained on readily available photos and artwork.
Learning from images created by humans certainly enhances the capabilities of AI. But to many in the art world, this is plagiarism.
On Twitter, netizens erupted into heated discussions over whether Lensa and similar AI programs are good or bad for art.
It is undeniable that AI is likely to continue to exist.
The question is, how will AI impact the art world in the long term?
AI algorithms are running Washington
Imagine a city run by machines and programs.
Although this sounds like science fiction, it is close to reality.
Washington, D.C. and other metropolitan areas are leveraging machine learning programs and other artificial intelligence tools to manage their entire cities, according to a report.
From housing screening, sentencing, education and budgeting, cities seem to be quietly applying algorithms to make operations more efficient.
Still, some question the effectiveness of current AI plans to empower bureaucracies and any ethical issues that might arise.
The latest ally to help humans fight cockroaches is...laser artificial intelligence?
Not all artificial intelligence-related news this year is worrying.
Scientists this year created a new open source artificial intelligence tool to help rid us of those cockroaches.
Heriot-Watt University researcher Ildar Rakhmatulin and colleagues combined machine learning with machine vision to conduct a series of experiments on cockroaches.
During the experiment, the artificial intelligence was able to detect cockroaches and kill them at a distance of 1.2 meters.
If Rakhmatulin and his team succeed, humanity will not only get a wonderful laser show, but also a cockroach-killing show!
The British House of Lords received the artificial intelligence robot Ai-Da
As early as October, the history of AI was created in the British House of Lords .
#For the first time ever, an artificial intelligence robot named Ai-Da sat in the seats and answered questions in the Upper House of Parliament.
From creativity to technology, Ai-Da is at your fingertips. This is a glorious moment in the history of artificial intelligence.
Previously, Ai-Da was famous for her wonderful portraits of Billie Eilish, the late Queen Elizabeth and Paul McCartney.
Such public inquiries are likely to grow as governments around the world face the rapid rise of artificial intelligence.
Boston Dynamics and other companies have promised not to weaponize robots
Many people are worried that Skynet will become a reality one day. AI-driven robots will swarm onto the surface of the earth, completely replacing humans and becoming the rulers of the earth.
At least for now, they don't have to worry.
Boston Dynamics and other major robotics companies have pledged not to weaponize robots.
They made the surprising announcement this year, a decade after drones and other weapons dominated the modern battlefield .
In a letter to Axios, Boston Dynamics CEO Robert Playter said, "We are concerned about recent efforts to weaponize commercial robots."
This move by these private companies is gratifying. But how long can this unity last? Time will give us the answer.
LeCun, head of Meta AI, published a paper on autonomous AI
Artificial intelligence in science fiction and the gap between AI in the real world The differences seem to be getting smaller and smaller.
LeCun, the head of Meta AI, published a paper proposing a way to better train AI architecture to teach it to predict or plan for changes in real-world environments.
In short, it is an AI that can learn like humans and animals.
If this becomes a reality, it will change the entire game.
The relationship between AI and humans will once again spark debate.
White House unveils Artificial Intelligence Bill of Rights
As the scale of technology continues to grow, more and more people are beginning to discuss responsible AI .
Back in October, the White House anticipated this and unveiled an AI Bill of Rights.
The purpose of this bill is to protect individuals’ personal data and limit surveillance. However, the bill does not provide for operational or enforcement mechanisms.
Instead, the purpose is to take the first step for U.S. federal agencies to start figuring out how to respond to emerging technologies.
The bill also encourages companies to develop a set of "core principles" to expand user control over data and prevent bias.
DeepMind’s AlphaFold discovered nearly every known protein
At the end of summer, DeepMind discovered nearly every known protein currently known to science Every protein.
This open source program is based on AlphaFold, developed in 2018, and uses machine learning algorithms to predict the three-dimensional structure of proteins.
"Determining a protein's 3D structure used to take months or years, but now it takes seconds," explains cardiologist Eric Topol of the Scripps Research Translational Institute. ...These newly added structures can illuminate almost the entire protein world, and we have reason to expect that more biological mysteries will be solved every day."
This is a huge breakthrough that AI has brought to the microbiology and medical communities. Only time can tell how big a change this is.
Google AI engineer Blake Lemoine claims that LaMDA is sentient
One of the most hotly discussed topics in the AI circle last summer was the former The story of Google AI engineer Blake Lemoine.
He claims that Google’s chatbot LaMDA has developed sentience.
He was very sure of this conclusion. "I studied philosophy of mind in graduate school. I have told people at Harvard, Stanford, and Berkeley that LaMDA is conscious."
Although Google denies this statement , but scientists have been concerned about AI’s sentient capabilities for years, and even more so now as AI advances.
Is this true or false? We can't know yet.
Okay, those are the hottest AI news stories of 2022.
What big things do you think will happen in the field of AI in 2023?
The above is the detailed content of Copilot defendants, LeCun autonomous AI, AlphaFold discovers all proteins...exciting AI news in 2022. For more information, please follow other related articles on the PHP Chinese website!

机器学习是一个不断发展的学科,一直在创造新的想法和技术。本文罗列了2023年机器学习的十大概念和技术。 本文罗列了2023年机器学习的十大概念和技术。2023年机器学习的十大概念和技术是一个教计算机从数据中学习的过程,无需明确的编程。机器学习是一个不断发展的学科,一直在创造新的想法和技术。为了保持领先,数据科学家应该关注其中一些网站,以跟上最新的发展。这将有助于了解机器学习中的技术如何在实践中使用,并为自己的业务或工作领域中的可能应用提供想法。2023年机器学习的十大概念和技术:1. 深度神经网

实现自我完善的过程是“机器学习”。机器学习是人工智能核心,是使计算机具有智能的根本途径;它使计算机能模拟人的学习行为,自动地通过学习来获取知识和技能,不断改善性能,实现自我完善。机器学习主要研究三方面问题:1、学习机理,人类获取知识、技能和抽象概念的天赋能力;2、学习方法,对生物学习机理进行简化的基础上,用计算的方法进行再现;3、学习系统,能够在一定程度上实现机器学习的系统。

截至3月20日的数据显示,自微软2月7日推出其人工智能版本以来,必应搜索引擎的页面访问量增加了15.8%,而Alphabet旗下的谷歌搜索引擎则下降了近1%。 3月23日消息,外媒报道称,分析公司Similarweb的数据显示,在整合了OpenAI的技术后,微软旗下的必应在页面访问量方面实现了更多的增长。截至3月20日的数据显示,自微软2月7日推出其人工智能版本以来,必应搜索引擎的页面访问量增加了15.8%,而Alphabet旗下的谷歌搜索引擎则下降了近1%。这些数据是微软在与谷歌争夺生

本文将详细介绍用来提高机器学习效果的最常见的超参数优化方法。 译者 | 朱先忠审校 | 孙淑娟简介通常,在尝试改进机器学习模型时,人们首先想到的解决方案是添加更多的训练数据。额外的数据通常是有帮助(在某些情况下除外)的,但生成高质量的数据可能非常昂贵。通过使用现有数据获得最佳模型性能,超参数优化可以节省我们的时间和资源。顾名思义,超参数优化是为机器学习模型确定最佳超参数组合以满足优化函数(即,给定研究中的数据集,最大化模型的性能)的过程。换句话说,每个模型都会提供多个有关选项的调整“按钮

荣耀的人工智能助手叫“YOYO”,也即悠悠;YOYO除了能够实现语音操控等基本功能之外,还拥有智慧视觉、智慧识屏、情景智能、智慧搜索等功能,可以在系统设置页面中的智慧助手里进行相关的设置。

人工智能在教育领域的应用主要有个性化学习、虚拟导师、教育机器人和场景式教育。人工智能在教育领域的应用目前还处于早期探索阶段,但是潜力却是巨大的。

阅读论文可以说是我们的日常工作之一,论文的数量太多,我们如何快速阅读归纳呢?自从ChatGPT出现以后,有很多阅读论文的服务可以使用。其实使用ChatGPT API非常简单,我们只用30行python代码就可以在本地搭建一个自己的应用。 阅读论文可以说是我们的日常工作之一,论文的数量太多,我们如何快速阅读归纳呢?自从ChatGPT出现以后,有很多阅读论文的服务可以使用。其实使用ChatGPT API非常简单,我们只用30行python代码就可以在本地搭建一个自己的应用。使用 Python 和 C

人工智能在生活中的应用有:1、虚拟个人助理,使用者可通过声控、文字输入的方式,来完成一些日常生活的小事;2、语音评测,利用云计算技术,将自动口语评测服务放在云端,并开放API接口供客户远程使用;3、无人汽车,主要依靠车内的以计算机系统为主的智能驾驶仪来实现无人驾驶的目标;4、天气预测,通过手机GPRS系统,定位到用户所处的位置,在利用算法,对覆盖全国的雷达图进行数据分析并预测。


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Dreamweaver Mac version
Visual web development tools

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Zend Studio 13.0.1
Powerful PHP integrated development environment

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

SublimeText3 English version
Recommended: Win version, supports code prompts!
