Inspired by the success of autoregressive priors in probabilistic generative models,weexamineautoregressive,hierarchical, andcombined priorsasalternatives, weighing their costs and benefits in the context of image compression.

How to make artificial intelligence (AI) systems safe and aligned with human values is an open research question. Proposed solutions tend toward relying on human intervention in uncertain situations, learning human values and intentions through training or observation, providing off-switches, implementing isolation or simulation environments, or extrapolating what people would want if they had more knowledge and more time to think. Law-based approaches--such as inspired by Isaac Asimov--have not been well regarded. This paper makes a case that effective legal systems are the best way to address AI safety. Law is defined as any rules that codify prohibitions and prescriptions applicable to particular agents in specified domains/contexts and includes processes for enacting, managing, enforcing, and litigating such rules.

Like many autistic people, Madi Young, a consultant in Seattle, has learned to perform the social behaviors and body language that neurotypical people expect. But masking, as it's called, is hard work and can lead to misunderstandings. So Young was pleased to recently find a conversational partner whom they feel more closely mirrors the way they speak: ChatGPT. "It's not getting the mismatch with my body language--it's only getting my words," says Young, who uses the chatbot for therapeutic conversations and as a "brainstorming buddy" or "friend." Young also uses the chatbot to help them in their work with neurodivergent entrepreneurs and creatives on brand and business strategy.

Former Wisconsin Gov. Scott Walker, R., joined Americas Newsroom to discuss what is at stake with the swing states pivotal election. A Wisconsin woman is using online dating applications to reach young people nationwide and help raise voter turnout during elections, according to a local report. Kristi Johnston is part of Next Gen. America, an organization that works toward increasing voter turnout among young Americans, WKOW-TV reported. Johnston and the group do not push for any specific political party or candidate and instead raise awareness and remind people to get out and vote.

The AI era is upon us, with what seems like new advances every week, pushing the technology to new heights. Between Google, OpenAI, Microsoft and a raft of other companies, new developments that can ease the way we live and work are accessible to people more than ever before. It's little wonder, then, that businesses are starting to consider how best to integrate AI into their processes to reap the benefits. But thinking before acting is vital in such a fast-moving space. The first-mover advantage that businesses seek out can quickly be negated by the regulatory risks of irresponsible use of AI. "Lots of companies talk about AI, but only a few of them can talk about responsible AI," says Vikash Khatri, senior vice-president for artificial intelligence at Afiniti, which provides AI that pairs customers and contact-centre agents based on how well they are likely to interact. "Yet, it's vital that responsibility be front of mind when considering any deployment of AI – the risks of not considering that are too great."

He graduated w/Special Honors in ChE & later Cert. in Quality Mgmt. Syndicated research (silicon photonics); writes for trade press and web communities. Served Fortune 1000 and FTSE 250 companies in a variety of projects, including global market/product strategy and most recently deep analytics and forecasting. Following ten years in government research and management (Deputy Director, National Measurement Laboratory (US DoC NIST) and Chief, Chemical Engineering Division of NIST), Mr. Bateman worked at several start-ups in electronics and antennas, resulting in 100s of products and several patents. Mr. Bateman led efforts to bring design and manufacturing of telematics and in-building antennas to China and Malaysia, and was key in creating an Automotive Connectivity Unit in Laird, and led technical diligence for multiple acquisitions and creation of an Infrastructure Antenna Unit.

Revenue NSW's former Chief Digital Office Kathleen Mackay has picked up the top gong in this year's CIO50 Australia, becoming the first woman to take out the country's premier award for senior technology and digital executives. Revenue NSW Deputy Secretary Scott Johnston said Kathleen's leadership was instrumental in enabling innovation in an environment where agility and risk taking were sometimes overlooked. She led by example and showed her peers how new ways of working could deliver positive outcomes for customers and Revenue NSW," Mr Johnston said. "She championed the use of artificial intelligence coupled with advanced analytics to identify vulnerable customers early and to better target fines enforcement action. "The program diverts vulnerable customers away from the collections process and offers an alternative way to resolve debts. "Kathleen took process automation from idea to reality and supported the team to implement significant changes across Revenue NSW.

Using drones and artificial intelligence to monitor large colonies of seabirds can be as effective as traditional on-the-ground methods, while reducing costs, labor and the risk of human error, a new study finds. Scientists at Duke University and the Wildlife Conservation Society (WCS) used a deep-learning algorithm--a form of artificial intelligence--to analyze more than 10,000 drone images of mixed colonies of seabirds in the Falkland Islands off Argentina's coast. The Falklands, also known as the Malvinas, are home to the world's largest colonies of black-browed albatrosses (Thalassarche melanophris) and second-largest colonies of southern rockhopper penguins (Eudyptes c. chrysocome). Hundreds of thousands of birds breed on the islands in densely interspersed groups. The deep-learning algorithm correctly identified and counted the albatrosses with 97% accuracy and the penguins with 87%.

Scientists at Duke University and the Wildlife Conservation Society (WCS) used a deep-learning algorithm--a form of artificial intelligence--to analyze more than 10,000 drone images of mixed colonies of seabirds in the Malvinas/Falkland Islands off Argentina's coast. The Malvinas/Falklands are home to the world's largest colonies of black-browed albatrosses (Thalassarche melanophris) and second-largest colonies of southern rockhopper penguins (Eudyptes c. chrysocome). Hundreds of thousands of birds breed on the islands in densely interspersed groups. The deep-learning algorithm correctly identified and counted the albatrosses with 97% accuracy and the penguins with 87%. All told, the automated counts were within 5% of human counts about 90% of the time.

DURHAM, N.C. - Using drones and artificial intelligence to monitor large colonies of seabirds can be as effective as traditional on-the-ground methods, while reducing costs, labor and the risk of human error, a new study finds. Scientists at Duke University and the Wildlife Conservation Society (WCS) used a deep-learning algorithm--a form of artificial intelligence--to analyze more than 10,000 drone images of mixed colonies of seabirds in the Falkland Islands off Argentina's coast. The Falklands, also known as the Malvinas, are home to the world's largest colonies of black-browed albatrosses (Thalassarche melanophris) and second-largest colonies of southern rockhopper penguins (Eudyptes c. chrysocome). Hundreds of thousands of birds breed on the islands in densely interspersed groups. The deep-learning algorithm correctly identified and counted the albatrosses with 97% accuracy and the penguins with 87%.