Meta Platforms continues to make progress on a mission to develop artificial intelligence that can teach itself to learn how the world works. Chief AI Scientist Yann LeCun has taken a special interest in developing the new model, called Image Joint Embedding Predictive Architecture, or I-JEPA, which learns by building an internal representation of the outside world and analyzing image abstracts instead of comparing pixels. The approach allows AI techto learn more like humans do, with their ability to figure out complex tasks and adapt to new situations. Continue reading Meta Develops Computer Vision AI That Learns Like Humans

Amazon has tapped artificial intelligence to summarize some of its product reviews. The feature, currently being tested, sifts through customer reviews to create lists of what purchasers like and dislike. The summaries carry the disclaimer “AI-generated from the text of customer reviews.” The move comes as Amazon is also deploying AI to weed out “fake” reviews supplied by “review brokers” who are also now able to leverage the power of AI. Amazon, which has identified phony reviews as a major problem, now uses machine learning models to detect fraudulent behavior by analyzing thousands of data points. Continue reading Amazon Uses AI to Summarize Legit Reviews and Flag Fakes

Google DeepMind has discovered a way to create AI algorithms that run faster than those coded by humans, which could lead to more cost-effective software development and computing that is more efficient and sustainable, according to the Alphabet company. The breakthrough, detailed in the journal Nature, is called AlphaDev. It uses a form of machine learning called reinforcement that allows computers to build on their successes, honing strategies independent of human programmers. In this case, faster algorithms were developed for computer-science functions like sorting and hashing. Continue reading Google DeepMind’s AlphaDev Can Create Faster Algorithms

Deezer, the global music streaming platform based in France, claims to have developed a technique for flagging — and potentially deleting — songs that use artificial intelligence to simulate the performance of popular singers. “We need to take a stand now,” Deezer CEO Jeronimo Folgueira said in an interview. “We are at a pivotal moment in music.” His company plans to “weed out illegal and fraudulent content” in an effort to protect artists. Deezer’s detection technology is still under development. It relies on AI, which Folgueira said he is not against if it is used ethically. Continue reading Deezer Says Its Tech Can Flag and Delete Deepfake AI Tunes

Family history platform MyHeritage is releasing a mobile app called Reimagine that enables high-speed scanning of entire album pages to complement the company’s AI tools for restoring — and even facially animating — historical photos. Now users can easily import printed photos stored in albums by snapping page pictures on their iOS or Android device. The app will separate the individual photos, cropping and saving them as standalone images to which metadata can be added for indexing. The app also works with individual photos, or digital uploads from a camera roll. Continue reading Photo App Reimagine Brings Old Images to Life with AI Tools

A March research paper by Microsoft has reopened discussion as to whether artificial intelligence is inching toward human reasoning, as the industry grapples with how an AI system can assimilate training data in a way that allows it to generate answers and promulgate ideas that weren’t programmed into it. Asked for a stable way to stack a book, nine eggs, a laptop, a bottle and a nail, the Microsoft AI generated a response researchers say hinted at artificial general intelligence, or AGI, a term used to connote an as yet theoretical type of machine learning that can duplicate human reasoning. Continue reading Microsoft Study: GPT-4 Nearing Artificial General Intelligence

With artificial intelligence development dating back to the 1950s, IBM was clearly ahead of its time. The company has quietly built a commercial portfolio, with more than 100 million customers across 20 industries using its Watson suite, the company says. At its annual Think conference, the company unboxed IBM Watsonx, a next-generation platform that leverages the scale and scope of foundation models to provide custom solutions for data-driven clients. Described as an “enterprise studio for AI builders,” Watsonx is an end-to-end framework that combines the tools, infrastructure and consulting expertise corporations can use to onboard AI. Continue reading IBM Bows Watsonx Suite of Enterprise AI Products, Services

AI startup Anthropic is sharing new details of the “safe AI” principles that helped train its Claude chatbot. Also known as “Constitutional AI,” the method draws inspiration from treatises that range from a Universal Declaration of Human Rights to Apple’s Terms of Service and Anthropic’s own research. “What ‘values’ might a language model have?,” Anthropic asks, noting “our recently published research on Constitutional AI provides one answer by giving language models explicit values determined by a constitution, rather than values determined implicitly via large-scale human feedback.” Continue reading Anthropic Shares Details of Constitutional AI Used on Claude

The Biden administration has committed $140 million to create seven new artificial intelligence research hubs, bringing the national total to 25. The announcement coincided with Vice President Kamala Harris’ Thursday meeting with representatives from Alphabet, Anthropic, Microsoft, and OpenAI and new White House guidance on AI development. The developments are part of an effort to curtain security risks associated with AI and ensure that it is implemented responsibly. “The private sector has an ethical, moral and legal responsibility to ensure the safety and security of their products,” Harris said following the meeting, which included a drop-in by President Biden. Continue reading Biden Administration Hosts Tech Elite at White House AI Meet

Amazon is giving Alexa an AI update, with a “more generalized and capable” large language model in development to power the device, CEO Andy Jassy told investors on the company’s Q1 earnings call. While Jassy addressed updates to the company’s AI and machine learning tech that is now facing increased competition, it was actually advertising that gave the company bragging rights this quarter. Amazon’s ad products had 21 percent revenue growth year-over-year, totaling $9.5 billion. As many digital companies struggle to maintain ad momentum in a restrained market, the results are impressive. Continue reading Amazon Has Ad Surge, Looks to Better LLM to Power Alexa

In a move it sees as a force multiplier, Alphabet is consolidating DeepMind and the Brain team from Google Research into a unit called Google DeepMind, uniting the teams responsible for Google Brain with DeepMind, the UK-based artificial intelligence research lab acquired in 2014. Collective accomplishments include AlphaGo, Transformers, WaveNet and AlphaFold, as well as software frameworks like TensorFlow and JAX for expressing, training and deploying large scale ML models. “Combining all this talent into one focused team, backed by the computational resources of Google, will significantly accelerate our progress in AI,” the company announced. Continue reading Google Restructures AI Research Units into Google DeepMind

There’s been a lot of noise recently about music generated by artificial intelligence tools. The clamor is on multiple fronts: generative mimicry of specific artists’ vocal styles, the potential to put Muzak-style background tunesmiths out of business with potentially cheaper alternatives, and the particulars of takedown orders. The matter came to a head this month after generative AI vocals prompted to sound like Drake and The Weeknd performed a song called “Heart on My Sleeve,” written and produced by a TikTok user. The tune quickly went viral, raising numerous concerns. Continue reading Music Industry Contends with Artificial Intelligence Disruption

Generative AI is expected to play a big role in video game production, increasing development speed, reducing costs, and helping to come up with new ways for players to interact with characters. Major firms including Epic Games, Unity, Ubisoft and Roblox have all announced generative AI integrations for their development kits. Nonplayable characters — foils that act and speak independently — are soon to be wholly AI-powered rather than preprogrammed options. Publicly available AI tools are already commonly used by players creating user-generated game content. However, use of AI to create commercial games is not without controversy. Continue reading Use of AI to Build Video Games is Popular, But Controversial

Amazon is offering a new service called Bedrock that offers foundation models from AI21 Labs, Anthropic, Stability AI and Amazon, which is introducing two of its own models under its new brand, Titan. The models, which are accessible via API, will allow customers to build and scale generative AI-based applications using pre-trained, off-the-shelf systems that can be customized. Amazon’s Titan line includes a generative LLM that outputs text, the other is an embeddings LLM that translates text to numeric representations that carry the semantic meaning of the text. Embeddings are typically helpful when bridging concepts, like words and images. Continue reading Amazon Intros GenAI Service Bedrock and Its Own Titan LLM

Meta Platforms has published a new AI technology, the Segment Anything Model (SAM) that the company claims can identify objects it hasn’t seen before. Acting on a text prompt, SAM will highlight items in a photo or video, picking out all the cats, for instance, or flowers. It can also execute other functions, such as generating a 3D construct using a single 2D image or extrapolating from things viewed in a mixed reality headset. Segment Anything can work in concert with other models, potentially minimizing the need for voluminous data sets for training. Continue reading New Meta AI Can Detect Objects It Has Not Been Trained On