Journalism professor Shen Yang plans to detail his creation process so anyone can ‘create good fiction with AI’
In machine learning, larger networks with increasing parameters are being trained. However, training such networks has become prohibitively expensive. Despite the success of this approach, there needs to be a greater understanding of why overparameterized models are necessary. The costs associated with training these models continue to rise exponentially.
A team of researchers from the University of Massachusetts Lowell, Eleuther AI, and Amazon developed a method known as ReLoRA, which uses low-rank updates to train high-rank networks. ReLoRA accomplishes a high-rank update, delivering a performance akin to conventional neural network training.
Scaling laws have been identified, demonstrating a strong power-law dependence between network size and performance across different modalities, supporting overparameterization and resource-intensive neural networks. The Lottery Ticket Hypothesis suggests that overparameterization can be minimized, providing an alternative perspective. Low-rank fine-tuning methods, such as LoRA and Compacter, have been developed to address the limitations of low-rank matrix factorization approaches.
A new AI tool can predict people’s time of death with high degree of accuracy, finds a study.
New AI can predict people’s time of death with high degree of accuracy, study finds.
Could artificial intelligence (AI) systems become conscious? A trio of consciousness scientists says that, at the moment, no one knows — and they are expressing concern about the lack of inquiry into the question.
In comments to the United Nations, three leaders of the Association for Mathematical Consciousness Science (AMCS) call for more funding to support research on consciousness and AI. They say that scientific investigations of the boundaries between conscious and unconscious systems are urgently needed, and they cite ethical, legal and safety issues that make it crucial to understand AI consciousness. For example, if AI develops consciousness, should people be allowed to simply switch it off after use?
Such concerns have been mostly absent from recent discussions about AI safety, such as the high-profile AI Safety Summit in the United Kingdom, says AMCS board member Jonathan Mason, a mathematician based in Oxford, UK and one of the authors of the comments. Nor did US President Joe Biden’s executive order seeking responsible development of AI technology address issues raised by conscious AI systems, Mason notes.
By bringing together disparate approaches, machines can reach a new level of creative problem-solving.
Apple is in talks with some of the biggest names in the media industry to license their news archives for training its artificial intelligence systems, the New York Times reported.
A multiyear deal worth over $50 million
The Cupertino-based company is seeking multiyear deals worth over $50 million with publishers like Condé Nast, NBC News, and IAC, which own popular magazines and websites such as Vogue, The New Yorker, People, and The Daily Beast.
Humane AI has attracted much attention and funding from investors despite not having any products in the market until now. According to CNBC, the company has raised over $200 million from backers like Microsoft, Tiger Global, OpenAI CEO Sam Altman, and Salesforce CEO Marc Benioff.
“For us, the AI Pin is just the beginning,” Chaudhri said at the launch event.
Continue reading “Humane AI reveals when its AI pin will reach customers” »
The robot features eight adjustable water jets in its central and head regions, with a flexible firehose directed by a control unit on a trailing wheeled cart.
Functioning at a rate of 6.6 liters per second, the nozzles expel water with a pressure reaching up to one megapascal. At the tip of the hose, a combination of a traditional camera and a thermal imaging camera is integrated, facilitating the identification and location of the fire. This technological integration enhances the Dragon Firefighter’s firefighting capabilities, according to the team.
Learning process
Continue reading “Scientists create water-spitting ‘flying dragon’ robot to fight fires” »
A team of researchers, led by Professor Hyong-Ryeol Park from the Department of Physics at UNIST has introduced a technology capable of amplifying terahertz (THz) electromagnetic waves by over 30,000 times. This breakthrough, combined with artificial intelligence (AI) based on physical models, is set to revolutionize the commercialization of 6G communication frequencies.
Collaborating with Professor Joon Sue Lee from the University of Tennessee and Professor Mina Yoon from the Oak Ridge National Laboratory, the research team successfully optimized the THz nano-resonator specifically for 6G communication using advanced optimization technology.
The research findings have been published in the online version of Nano Letters.
2023 was the year that CRISPR gene-editing sliced its way out of the lab and into the public consciousness—and American medical system. The Food and Drug Administration recently approved the first gene-editing CRISPR therapy, Casgevy (or exa-cel), a treatment from CRISPR Therapeutics and partner Vertex for patients with sickle cell disease. This comes on the heels of a similar green light by U.K. regulators in a historic moment for a gene-editing technology whose foundations were laid back in the 1980s, eventually resulting in a 2020 Nobel Prize in Chemistry for pioneering CRISPR scientists Jennifer Doudna and Emmanuelle Charpentier.
That decades-long gap between initial scientific spark, widespread academic recognition, and now the market entry of a potential cure for blood disorders like sickle cell disease that afflict hundreds of thousands of people around the world is telling. If past is prologue, even newer CRISPR gene-editing approaches being studied today have the potential to treat diseases ranging from cancer and muscular dystrophy to heart disease, birth more resilient livestock and plants that can grapple with climate change and new strains of deadly viruses, and even upend the energy industry by tweaking bacterial DNA to create more efficient biofuels in future decades. And novel uses of CRISPR, with assists from other technologies like artificial intelligence, might fuel even more precise, targeted gene-editing—in turn accelerating future discovery with implications for just about any industry that relies on biological material, from medicine to agriculture to energy.
With new CRISPR discoveries guided by AI, specifically, we can expand the toolbox available for gene editing, which is crucial for therapeutic, diagnostic, and research applications… but also a great way to better understand the vast diversity of microbial defense mechanisms, said Feng Zhang, another CRISPR pioneer, molecular biologist, and core member at the Broad Institute of MIT and Harvard in an emailed statement to Fast Company.
