Hillsborough police report'may not give answers' Families of some of those killed in the Hillsborough disaster fear they may once again be denied full accountability as the long-delayed report into police conduct surrounding the stadium crush is due to be published on Tuesday. Several people who worked on the Independent Office for Police Conduct (IOPC) investigation - including a former director - have told the BBC they doubt the report will deliver all the answers survivors and bereaved relatives were promised. Some have warned that it may lead to accusations of another Hillsborough cover-up. Families have also criticised the length and cost of the investigation - the largest of its kind ever carried out in England and Wales. The police watchdog has spent more than 13 years examining the actions of South Yorkshire Police and other forces in the aftermath of the 1989 disaster in which 97 Liverpool supporters were killed during an FA Cup semi-final at Sheffield Wednesday's Hillsborough ground.

This study investigates effective strategies for developing a customised GPT agent to code classroom dialogue. While classroom dialogue is widely recognised as a crucial element of education, its analysis remains challenging due to the need for a nuanced understanding of dialogic functions and the labour-intensive nature of manual transcript coding. Recent advancements in large language models offer promising avenues for automating this process. However, existing studies predominantly focus on training large-scale models or evaluating pre-trained models with fixed codebooks, which are often not applicable or replicable for dialogue researchers working with small datasets or customised coding schemes. Using GPT-4's MyGPT agent as a case, this study evaluates its baseline performance in coding classroom dialogue with a human codebook and examines how performance varies with different example inputs through a variable control method. Through a design-based research approach, it identifies a set of practical strategies, based on MyGPT's unique features, for configuring effective agents with limited data. The findings suggest that, despite some limitations, a MyGPT agent developed with these strategies can serve as a useful coding assistant by generating coding suggestions.

MOUNTAIN VIEW, Calif., Feb 22 (Reuters) - As Alphabet Inc (GOOGL.O) looks past a chatbot flub that helped erase $100 billion from its market value, another challenge is emerging from its efforts to add generative artificial intelligence to its popular Google Search: the cost. Executives across the technology sector are talking about how to operate AI like ChatGPT while accounting for the high expense. The wildly popular chatbot from OpenAI, which can draft prose and answer search queries, has "eye-watering" computing costs of a couple or more cents per conversation, the startup's Chief Executive Sam Altman has said on Twitter. In an interview, Alphabet's Chairman John Hennessy told Reuters that having an exchange with AI known as a large language model likely cost 10 times more than a standard keyword search, though fine-tuning will help reduce the expense quickly. Even with revenue from potential chat-based search ads, the technology could chip into the bottom line of Mountain View, Calif.-based Alphabet with several billion dollars of extra costs, analysts said.

Elon Musk has warned that the unrestrained development of artificial intelligence (AI) poses a potential existential threat to humanity. AI has without doubt been the year's most popular buzzword, and the hype has continued to build since the November launch of ChatGPT. The tech billionaire and Twitter boss remotely addressed the audience at the World Government Summit, warning them about the potential risks of AI. "Artificial intelligence is something we need to be quite concerned about," said Musk, who co-founded the OpenAI firm behind the development of ChatGPT. AI has great potential, but it also poses a significant threat to civilization, according to Musk. "One of the biggest risks to the future of civilization is AI. "I mean, you look at, say, the discovery of nuclear physics.

In the recent few months, the world's tech giants came rushing with their artificial intelligence platforms into the mainstream market. ChatGPT, Bing, and Bard are the big names that will be competing for the user base, and are already being integrated into online search systems. The use of ChatGPT-like algorithms in web searches will result in increased operating costs for big tech. But there's a bigger problem, surpassing even those $100 billion that Google lost from its market value due to a forgotten error in the ad of its AI. Platforms similar to the popular ChatGPT have impressive content creation capabilities, in some scenarios rivaling those of humans.

Big data center operators say they are seeing a steady stream of new architectures for accelerating deep learning neural networks--and the flow is just getting started, according to comments at last week's AI Hardware Summit. One analyst pegged the number of established and startup companies designing AI accelerators at a whopping 130. "The machine-learning revolution has reopened the opportunity for new architectures…let a thousand flowers bloom," said Alphabet Chairman and former Stanford President John Hennessy in an opening keynote at the event. Such domain-specific chips don't have to be compatible with legacy object code so the industry "can introduce new architectures faster than in general-purpose computing," he added. Potential users from Alibaba, Facebook, Google, and Uber said the chip vendors need to show their benchmark scores, make their software easy to use, and conform to emerging standards. "We are sampling a few vendors' upcoming products, and one issue is using their software correctly…it takes a long time to vet hardware and a lot of time to bring new software into our ecosystem," said Linjie Xu [[CQ]], director of applied AI architecture at Alibaba Cloud, speaking on a panel.

DiPaola, along with Owen and founding team member Kate Hennessy (an associate professor specializing in media at SFU's School of Interactive Arts and Technology) presented their progress to journalists and technology professionals last week at a pair of conferences in New York City. One of the applications the group is most excited about is its use in virtual reality (VR) and 360 degree storytelling. In recent years, the use of VR to create immersive storytelling environments has become increasingly common amongst news organizations worldwide. The Guardian, Al Jazeera, the BBC and The New York Times are just some of the news organizations that have adopted 360 degree video technologies as part of their repertoire. The Star, for instance, used 360-degree video to offer viewers a panoramic experience of the 2016 Toronto Pride Parade.

Last week, PLOS Medicine and PLOS ONE editors Linda Nevin and Meghan Byrne attended Human Intelligence & Artificial Intelligence (HIAI) in Medicine, a Stanford Presence Center symposium. HIAI brought together thought leaders in medicine, computer science and policy to envisage an inclusive, equitable and humane experience in medicine with AI solutions. A few highlights from the symposium are described here. "Supervised learning is the ultimate example of'garbage in, garbage out'," computer scientist and former Stanford President John L. Hennessy told the audience in his opening remarks at last Tuesday's Human Intelligence & Artificial Intelligence (HIAI) in Medicine Symposium, hosted by the Stanford Presence Center. Dr. Hennessy was honored at the symposium for his recent Turing Award, but his talk stayed true to the Presence mission--championing human intelligence in medicine as artificial intelligence (AI)'s role in the clinic grows.

John Hennessy has had a busy month. The former president of Stanford University was just named chairman of the board for Alphabet, Google's parent company. And he just helped name the first class of 49 Knight-Hennessy scholars, his new program aimed at turning graduate students into leaders that will improve the world. I caught up with Hennessy to find out a little more about how he plans to juggle his multiple roles, how Google can "Do the right thing" (as the company's new motto states), and his views on current hot-button issues in technology. Here's what he had to say.

Khosrowshahi is a co-founder, along with Naveen Rao, another Intel executive, of a startup called Nervana Systems. I profiled Nervana in October of 2015 for a Barron's cover story about how the rise of cloud computing and artificial intelligence was changing the objectives, and the design, of silicon. After that article, in which it was posited that Intel's microprocessor business might be in trouble, Rao and Khosrowshahi's company was bought by Intel, in August of last year, for terms that were not disclosed, but speculated by the New York Times's Steve Lohr to be north of $400 million. Rao and Khosrowshahi have both been on the road in support of Intel this year. Rao was at Intel's Xeon unveiling in July in New York.