Deep reinforcement learning (DRL) is transitioning from a research field focused on game playing to a technology with real-world applications. Notable examples include DeepMind's work on controlling a nuclear reactor or on improving Youtube video compression, or Tesla attempting to use a method inspired by MuZero for autonomous vehicle behavior planning. But the exciting potential for real world applications of RL should also come with a healthy dose of caution – for example RL policies are well known to be vulnerable to exploitation, and methods for safe and robust policy development are an active area of research. At the same time as the emergence of powerful RL systems in the real world, the public and researchers are expressing an increased appetite for fair, aligned, and safe machine learning systems. The focus of these research efforts to date has been to account for shortcomings of datasets or supervised learning practices that can harm individuals.
On Friday, Elon Musk announced he was pausing his $45bn purchase of Twitter because he had only just discovered some of the accounts on the site were fake. But that's not the strangest thing that has happened to the beleaguered social media platform this week. Because on Tuesday the current top brass, perhaps trying to demonstrate their vision for the site, released a Super Nintendo-style browser game that recaps Twitter's private policy. The platform unveiled Twitter Data Dash, which plays like a vintage side-scrolling platformer that's been draped with a healthy dose of disinformation anxiety. You take control of a blue-hued puppy named Data and are tasked with retrieving five bones hidden in each of the game's day-glo urban environments.
According to Gartner, AI applies advanced analysis and logic-based techniques, including machine learning, to interpret events, support and automate decision-making, and take action. In essence, the concept of AI centres on enabling computer systems to think and act in a more'human' way, by learning from and responding to the vast amounts of information they're able to use. AI is already transforming our everyday lives. From the AI features on our smartphones such as built-in smart assistants, to the AI-curated content and recommendations on our social media feeds and streaming services. As the name suggests, machine learning is based on the idea that systems can learn from data to automate and improve how things are done – by using advanced algorithms (a set of rules or instructions) to analyse data, identify patterns and make decisions and recommendations based on what they find.
The retail business is getting back on track and has been witnessing steady growth after the dismal impact of the third wave. There has been buoyancy in the market with the removal of lockdown restrictions. After a long time of distress and uncertainty, things are getting back to normalcy as businesses have started taking pertinent steps to resume operations and focus on sales, marketing, and inventory management. The realization of digital transformation coupled with the indispensable role of artificial intelligence (AI) has been one of the major outcomes of Covid-19 implications on the retail sector and the vast possibilities and opportunities it can create with such transformations. With the emergence of e-commerce, buyers experienced the first crucial shift that successfully made it possible for them to buy things from anywhere at any time.
NetApp, a global, cloud-led, data-centric software company, announced that NetApp EF600 all-flash NVMe storage combined with the BeeGFS parallel file system is now certified for NVIDIA DGX SuperPOD. The new certification simplifies artificial intelligence (AI) and high-performance computing (HPC) infrastructure to enable faster implementation of these use cases. Since 2018, NetApp and NVIDIA have served hundreds of customers with a range of solutions, from building AI Centers of Excellence to solving massive-scale AI training challenges. The qualification of NetApp EF600 and BeeGFS file system for DGX SuperPOD is the latest addition to a complete set of AI solutions that have been developed by the companies. NetApp's portfolio of NVIDIA-accelerated solutions includes ONTAP AI to eliminate guesswork for faster adoption by using a field-proven reference architecture as well as a preconfigured, integrated solution that is easy to procure and deploy in a turnkey manner.
Broadcom Inc. has announced expanding opportunities for organizations to gain greater value from the company's advanced AI, security, and hybrid cloud solutions with "Day One" support for IBM's new z16. Broadcom's suite of software solutions, services, and unique "beyond code" programs provide clients an advantage to succeed in an increasingly challenging business environment. "Our strategic investments position clients to exploit the z16 along with advances in AI, cybersecurity, cloud integration, and agility," said Greg Lotko, senior VP and GM, Mainframe Software Division, Broadcom. What distinguishes Broadcom is our deep investment in technology and how we work side-by-side in partnership with our clients to overcome their unique challenges and create new opportunities." As a member of the z16 Early Ship Program, Broadcom collaborated with IBM to ensure clients can capitalize on the full range of our mainframe software solutions on the new platform to drive progress toward their innovation and business goals. "Nothing can match the transaction performance of a mainframe, and the way that we manage the platform using Broadcom technology is a real differentiator for us," said Johan Bosch, executive director for iOCO Infrastructure Services. "We can deliver our services at 25 percent of the cost when measured against standalone banking environments.
The adoption of artificial intelligence (AI) in various applications, from self-driving autonomous vehicles to AI-assisted medical diagnoses, has accelerated in recent years. From 2018 to 2020, there was a five-fold increase globally in the percentage of organisations deploying AI. While the adoption of AI brings numerous benefits, cybersecurity threats such as hacking pose a significant threat to AI systems, especially in applications where hackers may gain access to confidential information or cause automated systems to malfunction. Answering the call to protect the integrity of AI programmes and create trust in AI solutions, a team of NTU researchers and AI leaders has launched a new standard on AI security. Unveiled on 16 March 2022 at the Al Security Standard Launch Singapore TR 99:2021 Growth opportunities for government & industry adopting trustworthy Al, and published by Enterprise Singapore's Standards Consortium, the standard was developed from research led by NTU scientists Prof Liu Yang of NTU's School of Computer Science and Engineering, former research fellow Dr Xiaofei Xie and PhD candidate Mr David Berend.
Networking plays a critical role in one's professional life, particularly for people who depend on experts' opinions and hold curiosity about lived experiences.LinkedIn lets users connect to people of their choice, exchange ideas, or collaborate on projects. However, communicating directly with them comes at a price. Email messages for LinkedIn where users can message users directly is a premium feature. LinkedIn groups play a vital role in bringing together the tech enthusiasts to collaborate and brainstorm ideas; and it works particularly well in areas like artificial intelligence and machine learning, where you can get inputs from people who are experienced enough to instill a sense of direction and provide significant insights. It is a collaborative group of AI researchers who work on next-generation machine intelligence.
Alphabet Inc's Google unveiled a palette of 10 skin tones on Wednesday that it described as a step forward in making gadgets and apps that better serve people of colour. The company said its new Monk Skin Tone Scale replaces a flawed standard of six colours known as the Fitzpatrick Skin Type, which had become popular in the tech industry to assess whether smartwatch heart rate sensors, artificial intelligence systems including facial recognition, and other offerings show colour bias. Tech researchers acknowledged that Fitzpatrick underrepresented people with darker skin. Reuters exclusively reported last year that Google was developing an alternative. The company partnered with Harvard University sociologist Ellis Monk, who studies colourism and had felt dehumanised by cameras that failed to detect his face and reflect his skin tone.
Every year, it gets harder to keep up with technology updates in convenience services. For many industry players, the pandemic put some projects on hold, but the surging interest in contactless transactions accelerated expansion of technology innovation. An early morning session, "Trending Technologies in Convenience Services," gave attendees a chance to unpack the key tech innovations at the National Automatic Merchandising Association show at Chicago's McCormick Place. "The pandemic has given us a lot of new terms, and it's also accelerated the digital transformation of the industry," session moderator Michael Kasavana, Ph.D., the NAMA endowed professor emeritus, observed at the outset. The well attended session provided updates on artificial intelligence services for convenience services, contactless payments and ways to prevent the growing cybercrime threat.