Articles for category: AI News

March 6, 2025

ikayaniaamirshahzad@gmail.com

Scientists Say Google’s “AI Scientist” Is Dead on Arrival

Is Google’s so-called “AI co-scientist” poised to revolutionize scientific research as we know it? Not according to its human colleagues. The Gemini 2.0 based tool, announced by Google last month, can purportedly come up with hypotheses and detailed research plans by using “advanced reasoning” to “mirror the reasoning process underpinning the scientific method.” This process is powered by multiple Gemini “agents” that essentially debate and bounce ideas off each other, refining them over time. The yet-unnamed tool would give scientists “superpowers,” Alan Karthikesalingam, an AI researcher at Google, told New Scientist last month. And even biomedical researchers at Imperial College

March 6, 2025

ikayaniaamirshahzad@gmail.com

Black Inc has asked authors to sign AI agreements. But why should writers help AI learn how to do their job?

Melbourne-based publisher Black Inc Books is seeking to partner with an unnamed AI company or companies and wants its authors to allow their work to be used to train artificial intelligence. Writers were reportedly asked to permit Black Inc the ability to exercise key rights within their copyright to help develop machine learning and AI systems. This includes using the writers’ work in the training, testing, validation and subsequent deployment of AI systems. The contract is offered on an opt-in basis, said a Black Inc spokesperson, and the company would negotiate with “reputable” AI companies. But authors, literary agents and

March 6, 2025

ikayaniaamirshahzad@gmail.com

LA Times reportedly removes new AI tool from story after it downplayed KKK | Los Angeles

The Los Angeles Times has reportedly removed its new artificial intelligence (AI) tool from one of its articles, just a day after launching the feature. The publication unveiled a new AI-driven feature called “Insights” this week, designed to accompany articles that express a particular viewpoint or are “written from a personal perspective”, such as opinion pieces, commentary and reviews. The purpose of the tool is to help readers understand where the “views expressed may fall on the political spectrum” and to provide annotated summaries “of the ideas expressed in the piece along with different views on the topic from a

March 6, 2025

ikayaniaamirshahzad@gmail.com

Andrew Barto and Richard Sutton Win the Turing Award for Reinforcement Learning

ACM, the Association for Computing Machinery, has awarded the 2024 ACM A.M. Turing Award to Andrew G. Barto and Richard S. Sutton for their contributions to reinforcement learning. Their work laid the conceptual and algorithmic foundations of the field, influencing modern artificial intelligence. Barto, Professor Emeritus at the University of Massachusetts Amherst, and Sutton, Professor at the University of Alberta and Research Scientist at Keen Technologies, have been recognised for research spanning decades. The Turing Award, often called the “Nobel Prize in Computing,” includes a $1 million prize funded by Google. “Barto and Sutton’s work demonstrates the immense potential of

March 5, 2025

ikayaniaamirshahzad@gmail.com

We Looked at 78 Election Deepfakes. Political Misinformation is not an AI Problem.

AI-generated misinformation was one of the top concerns during the 2024 U.S. presidential election. In January 2024, the World Economic Forum claimed that “misinformation and disinformation is the most severe short-term risk the world faces” and that “AI is amplifying manipulated and distorted information that could destabilize societies.” News headlines about elections in 2024 tell a similar story: In contrast, in our past writing, we predicted that AI would not lead to a misinformation apocalypse. When Meta released its open-weight large language model (called LLaMA), we argued that it would not lead to a tidal wave of misinformation. And in

March 5, 2025

ikayaniaamirshahzad@gmail.com

AI search engine startup Genspark reportedly raises $100M at $530M valuation

Genspark, an artificial intelligence search startup that competes with Google LLC, has reportedly raised $100 million in funding. Reuters today cited sources as saying that the round was led by a group of U.S. and Singapore-based investors. The deal reportedly values Genspark at $530 million, more than twice what it was worth in June. Genspark, officially Mainfunc Inc., launched last year with $60 million in initial funding. Its namesake search engine topped 1 million monthly users in November. Sources told Reuters that Genspark now has 2 million users, which was likely one of the factors behind the steep increase in

March 5, 2025

ikayaniaamirshahzad@gmail.com

The Rush to A.I. Threatens National Security

In the quest for supremacy in a purported technological arms race, it would be unwise to overlook the risks that A.I.’s current reliance on sensitive data poses to national security or to ignore its core technical vulnerabilities. If our leaders barrel ahead with their plans to implement A.I. across our critical infrastructures, they risk undermining our national security. One day, we’ll deeply regret it. For more, click here Source link

March 5, 2025

ikayaniaamirshahzad@gmail.com

Enhancing AI agents with long-term memory: Insights into LangMem SDK, Memobase and the A-MEM Framework

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More AI agents can automate many tasks that enterprises want to perform. One downside, though, is that they tend to be forgetful. Without long-term memory, agents must either finish a task in a single session or be constantly re-prompted.  So, as enterprises continue to explore use cases for AI agents and how to implement them safely, the companies enabling development of agents must consider how to make them less forgetful. Long-term memory will make agents much more valuable in a workflow, able

March 5, 2025

ikayaniaamirshahzad@gmail.com

AI Explainability and Its Immediate Impact on Legal Tech – Insights from Expert Discussion  

Last week, leading experts from academia, industry, and regulatory backgrounds gathered to discuss the legal and commercial implications of AI explainability, with a particular focus on its impact in retail. Hosted by Professor Shlomit Yaniski Ravid of Yale Law and Fordham Law, the panel brought together thought leaders to address the growing need for transparency in AI-driven decision-making, emphasising the importance of ensuring AI operates in ethical and legal parameters and the need to ‘open the black box’ of AI decision-making. Regulatory challenges and the new AI standard ISO 42001 Tony Porter, former Surveillance Camera Commissioner for the UK Home